Recommendations for actions concerning supporting ITS developments for VRUs
European Transport Research Review volume 9, Article number: 22 (2017)
This paper presents some of the work conducted in FP7 VRUITS project to draw a set of general recommendations for actions at the EU level aiming to enhance the deployment of ITS systems directed to improve the safety, mobility and comfort of vulnerable road users.
The work started by identifying potential barriers, as well as recommendations to overcome these barriers. After that, similar recommendations were combined and prioritised, which are discussed via a workshop and questionnaire. In addition, a qualitative analysis was used to select thirteen main recommendations, for which a quantitative Benefit Analyses and a Multi-Criteria analysis were conducted.
In total, over 200 barriers and recommendations were identified for the 10 selected ITS systems. After several steps 13 main general recommendations were selected and ranked according to priority.
1) A wide range of different type of measures directed to different stakeholders is needed 2) Focus should be on facilitating the implementation of the 13 main recommendations, 3) Benefits of implementation of the recommendations can be in the order of billion(s) of euros, and 4) Main challenges are achieving cooperation between the different stakeholders, the different environments, the long time horizon for implementation and the high implementation costs.
Intelligent Transport Systems (ITS) are defined by  as advanced applications which, without embodying intelligence as such, aim to provide innovative systems relating to different modes of transport and traffic management and enable various users to be better informed and make safer, more coordinated and ‘smarter’ use of transport networks.
In recent years, both technological developments and research activities in the fields of ITS have primarily focussed on motorised transport to improve safety, mobility and ecological (environmental) impacts. In regard to safety, the uptake of ITS has led to the decrease of road traffic fatalities, particularly amongst passenger car occupants. However, Vulnerable Road Users (VRUs), such as pedestrians, cyclists, motorcyclists and moped riders have not experienced the same decrease in fatalities: inside European urban areas, pedestrian fatalities represent 39% of all fatalities .
The VRUITS project, which was co-sponsored by the European Commission through the FP7-programme, has identified  and analysed  a set of ITS systems, which have the potential to improve the safety and/or the mobility and comfort of VRUs. The selection of the systems was performed in two workshops with stakeholders. In the first workshop, the applications which were seen as having the most potential to improve safety and/or mobility and comfort were selected . The assessment was performed in two steps: a qualitative and a quantitative step. It was based on the method developed by Kulmala  for vehicle safety systems, which uses a set of 9 mechanisms, via which ITS can affect road user behaviour and thereby road safety, which was adapted for VRUs . A qualitative assessment of the impact on safety, mobility & comfort was performed for a set of 23 systems . In the second workshop with the stakeholders, the qualitative assessments were presented and a score was given by the participants to different aspects of the ITS systems (benefits, costs, deployment, user aspects). A multi-criteria analysis has been used to rank the different ITS systems. After that, a portfolio check was carried out to determine whether all important aspects were covered, for example, that systems addressed important vulnerable road user groups. This resulted in 10 ITS systems which were selected for a quantitative safety, mobility and comfort and socio-economic assessment. The 10 systems selected for quantitative analysis are presented in Table 1.
Building on the results of the safety, mobility & comfort assessment for 10 different ITS systems , and from the results of field trials on selected ITS systems , the VRUITS project has developed a set of recommendations for actions at the EU level regarding ITS systems for vulnerable road users and intelligent transportation systems,.
This paper presents the methodology to generate the general recommendations in Section 2. Section 3 presents the results for selecting and assessment of the general recommendations, while Section 4 presents the selected recommendations in more detail. The conclusions are outlined in Section 6.
Important sources of information for this paper are the VRUITS project deliverables. All these deliverables can be found at the VRUITS project website: www.vruits.eu.
2 Methodology general recommendations
The methodology for the identification and ranking of the main recommendations to enable the maximum deployment of selected ITS systems in Europe, consisted of four main steps. These steps are presented in Fig. 1.
Each of these steps is described in more detail in the following:
The analysis of the 10 ITS systems consisted of an identification of potential barriers regarding the widespread use of the ITS systems in the EU-28, as well as recommendations to overcome these barriers. The analysis covered the following eight topics: “technical performance”, “safety, mobility & comfort effects”, “human-machine interface (HMI)”, “acceptance”, “business models”, “implementation issues”, “legal and standardisation issues” and finally “privacy, data storage, ethical and moral issues”. The identified recommendations were classified according to the following criteria (more details are provided in ):
Ease of implementation: Easy, Medium, Challenging;
Time horizon: Short term (<5 years); Medium term (5–10 years) and Long term (>10 years);
Estimated effectiveness: Low (does not completely remove the barrier), Medium (barrier is removed in most cases), High (barrier is completely removed). This classification was only valid if the recommendation could be linked to a specific barrier;
Estimated costs: Low (hundred thousands of Euros); Medium (1–10 million Euros) and High (ten(s) of millions of Euros).
In addition, the relevant stakeholders were identified for each recommendation. A total of 213 barriers and 208 recommendations were identified. During the first analysis of recommendations, the recommendations were categorised in three different groups (recommendations regarding VRUs, vehicles and infrastructure). By means of grouping and additional analysis, the recommendations were merged and prioritised, resulting in a long list of 50 recommendations. A recommendation was included in the long list  if it scored high on the different criteria, such as having low implementation costs, being considered effective and concerning several motivated stakeholders.
Workshop and questionnaire. A workshop was held with the stakeholders in order to receive feedback and to prioritise the recommendations. A questionnaire was also sent to relevant stakeholders who could not participate in the workshop, to verify the outcomes of the workshop and the selected recommendations. The process included the three following steps:
Collection and processing the feedback of workshop participants. The recommendations were divided in three groups: recommendations regarding VRUs, vehicles and infrastructure. The workshop participants were divided into three groups and they participated in three different sessions, each covering one group of recommendations. The feedback collected during the workshop was used to update the contents and initial assessments of the presented recommendations.
Ranking of recommendations. At the end of each session, the workshop participants were asked to indicate the five main recommendations in each group which they considered the most important to facilitate the effective market introduction of the systems at a European level. The participants were asked to use a scale from 1 to 5 with five points for the most important recommendations of each group, four for the second most important, etc. Based on the overall scores given by the workshop participants, the recommendations with an overall score of less than 5 points were not considered for further analysis. This resulted in a shortlist of 38 measures.
Combination of similar measures. >In this phase, similar and/or overlapping recommendations were merged with each other. This resulted in a final list of 22 recommendations, which was verified by means of a questionnaire and sent to relevant stakeholders. The main purpose of the questionnaire was to outline the outcomes of the workshop and the selected recommendations. The respondents were asked to indicate if they agreed with the proposed recommendations, and if they saw any potential obstacles for the implementation of these recommendations. At the end, the respondents were requested to assess what they considered the most effective recommendation per topic.
Further analysis of recommendations. The analysis consisted of three main steps.
Qualitative Analysis. An in-depth qualitative analysis of the 22 recommendations was performed on the criteria mentioned under ‘Step 1’. This resulted in a more detailed description of the recommendations, identification of main implementation issues, description of roles and required actions of main stakeholders involved, more information about barriers addressed and description of main cost categories.
Selection of 13 main recommendations. Based on the qualitative analysis together with the results of the workshop and the expert questionnaire, a list of 13 main recommendations was selected for a quantitative analysis of the potential benefits.
Benefit Analysis of 13 main recommendations. The method used for the Benefit Analysis was primarily based on the CBA framework used to assess the impacts of the 10 ITS systems in earlier phases of the VRUITS project . The Benefit Analysis focussed on analysing the effects of carrying out the recommendation for each of these 10 ITS systems, compared to the situation where the recommendation would not be carried out. Each recommendation was considered to be effective for at least one of the 10 ITS systems. The effectiveness of each recommendation depended on the extent that the recommendation succeeds in removing the barrier. The recommendations are considered to directly enhance system performance in the areas of:
Safety, e.g. number of fatalities, injuries;
Comfort, e.g. comfort level;
Mobility, e.g. trip length, number of trips, trip duration or modal shift;
Penetration rates, e.g. percentage of potential users actually using the system; and
System costs i.e. the investment costs.
The impact of the recommendations on system effectiveness was qualitatively assessed, based on expert judgement of the partners involved in this study, for each of the above-mentioned areas. The assessment was made by rating the effectiveness as according to the scale: i) no effect, ii) very small, iii) small, iv) average or v) large. A distinction was made in relation to effects which are relatively short-term (2020), and medium/long term (2030).
The main link between the qualitative assessment and the quantitative analysis is shown in Table 1. The table details how the different impacts on system performance can be converted to parameter figures. Large impacts on effectiveness were matched to the most positive situation in the sensitivity analysis and scenario analysis, following the sensitivity analysis and scenarios from earlier VRUITS work . For smaller impacts, the quantification was based on an interpolation between large impacts and no impacts, as shown in Table 2.
The assessment on safety, comfort and mobility was handled in the same way: an improvement in effectiveness resulted in higher benefits in the respective area, quantified by a percentage by which all effects related are multiplied. For example, if safety effectiveness is expected to have a small impact from the recommendation, the safety effectiveness parameter is 105%. This was then used in the CBA calculations, multiplying the corresponding safety benefits with 105%. Note that these percentages do not mean the system performs better than the theoretical maximum, but should be interpreted as an improvement to the theoretical maximum system performance.
The impact on the penetration rate was calculated differently. The original CBAs were based on penetration rate scenarios – scenarios that contain figures on the usage of the system. Higher usage of the system was assumed to increase the safety benefits. In addition, effects were also anticipated in mobility and comfort due to changes in the penetration rate. The scenarios were used to calculate the impact of the recommendation by taking the difference of the high scenario CBA results and the medium scenario CBA results. This difference was then multiplied by 1/8, 1/4, 1/2 or 1, depending on the assessment and Table 2. The estimation of the recommendation benefits is the sum of all the additional benefits to the systems for which the recommendation is applicable.
The benefit analysis did not aim to provide an accurate estimate of the added benefits of the different recommendations. It was rather used to provide an indication of the order of magnitude of additional potential benefits of the ITS due to the recommendations. The following scale was used to rate the order of magnitude of additional benefits:
0: an estimated potential benefit of around 0–10 mln €
+: an estimated potential benefit of around 10–100 mln €
++: an estimated potential benefit of around 100 mln €–1 bn €
+++: an estimated potential benefit of around 1–2.5 bn €
++++: an estimated potential benefit more than 2.5 bn €
An example of the calculations for the benefit analysis is provided in Box 1 below.
Final ranking of recommendations. The results of the benefit analysis, along with those of the qualitative analysis served as inputs for the Multi-Criteria Analysis (MCA). The MCA aimed to provide the final ranking of the 13 main recommendations. The MCA took into account four criteria: ease of implementation, time horizon, costs and potential benefits. Ease of implementation was divided into three categories: Easy, Medium and Challenging. These have a respective value of 3, 2 and 1 in the MCA. Similar scores were used for the two other (qualitatively assessed) criteria: time horizon and costs. The potential benefits of the recommendation were considered as the most important criterion, and therefore 50% of the scores were allocated to this aspect. The other criteria were considered equally relevant, therefore the remaining 50% of the scores were equally divided over these three aspects. This means that the maximum of the sum scores on the criteria ease of implementation, time horizon and costs is 9.
The potential benefits criterion has four categories valued 1 to 4 in the MCA, based on the “+” to “++++” scores. These values are multiplied by 2.25 in the overall score, to resemble that 50% of the scores come from potential benefits. In this way a maximum score on potential benefits (4 is the maximum value, multiplied by a weight of 2.25 equals 9) equals a maximum score on the remaining criteria (3 criteria with maximum value 3 also equals 9).
For example, imagine a recommendation with ease of implementation (medium), time horizon (long), costs (low) and potential benefits (++). The weighted sum is then 2*1 + 1*1 + 3*1 + 2*2.25 = 10.5. The weighted sum of these criteria was then taken to be the overall score, ranking the first 13 recommendations. The various criteria scores and overall scores used in MCA are shown in Table 4.
3 General recommendations
3.1 Analysis of the 10 its systems
The potential barriers for widespread use of the ITS systems were identified by use of expert judgement of the consortium members, as well as recommendations to overcome these barriers. This was done by system and by topic. The number of identified barriers and recommendations are presented in Table 5.
As an example, Table 6 presents some barriers regarding technical performance of Blind Spot Detection (BSD) together with the classification on preliminary estimate on the ease to overcome the barrier.
Similarly, Table 7 outlines some recommendations regarding technical performance of Blind Spot Detection (BSD) together with the classifications (ease of implementation, time horizon, estimated effectiveness and estimated costs) and relevant stakeholders.
A selection of the most relevant recommendations was made starting with the list of 208 recommendations. This selection resulted in a list of 50 recommendations divided into 3 groups (recommendations regarding VRUs, vehicles and infrastructure) which were discussed and reviewed during the workshop.
3.2 Workshop and questionnaire
A workshop has been held with the main stakeholders, including representatives of VRU groups, local governments and municipalities. The 10 selected ITS systems were presented and the list of 50 recommendations was discussed in three sessions. The final list of 22 recommendations (Table 8) was defined based on the feedback and rankings collected during the workshop from the list of 50 recommendations. (While analysing the results of the workshop, the recommendations with an overall score lower than five points were removed from the list and the recommendations which were closely related, and/or overlapping with each other, were merged with each other.)
3.3 Further analysis of recommendations
In order to develop a good basis on which to identify the most promising of the twenty-two recommendations, a number of aspects of each recommendation were identified and investigated in more depth. These aspects are:
Develop a more extensive description of the recommendation. What does it encompass? What needs to be taken into account when considering this recommendation?
Identify which systems are affected by this recommendation. Some recommendations can affect several systems, such as integration of several functions into a single device.
Identify which of the eight topics (technical performance, safety, mobility & comfort effects, human-machine interface (HMI), acceptance, business models, implementation issues, legal and standardisation issues and finally privacy, data storage, ethical and moral issues) this recommendation relates to.
Description of main implementation issues. Make the issues more specific for the involved stakeholders.
Time horizon. Provide main reasons for the estimated time horizon. Provide a more detailed overview of the actions needed for each stakeholder. Provide a high level action plan.
Identify the barriers addressed by the recommendation, and the effectiveness of the recommendation to address the barrier (low/medium/high). For each barrier, indicate the ease of overcoming the barrier.
Describe the main cost categories and cost-related barriers, the magnitude of the costs, and the relevant stakeholders
An excellent example is recommendation 10 from Table 8, “To design traffic light control, depending on the overall traffic demand (both vehicles and pedestrians) to minimise traffic delays for all road users while taking into account VRU needs and policy goals for safety, throughput, emissions and mobility”. In this case, further investigation of the recommendation, based on the pilot in Spain, revealed that unnecessary delay created by traffic light control focusing solely on the pedestrian flow could be inefficient, as traffic lights at a single intersection are often part of a larger traffic control system. The traffic control should be designed so that:
A complete traffic view is obtained, not only of vehicles but also of pedestrians and cyclists,
Balance the needs of the Vulnerable Road users and motorised traffic needs, and take into account policy goals for safety, throughput, emissions and mobility
Several critical issues are illustrated below. Firstly, the main implementation issues identified for Recommendation 10 are:
Development of detection sensors and algorithms, which detect all road users waiting and crossing the intersection, and potentially also of road users approaching the crossing.
Research on algorithm development, dependent on traffic demand by all streams, needs to take place. Representatives of the special user groups should be involved in the algorithm development. These developments need to take into account that some countries use detectors for dynamic traffic light signal cycles.
Traffic control suppliers need to be part of the development process and see a business case for implementation.
Road authorities and governments need to pay for the implementation of these algorithms for their traffic lights.
An example of a barrier identified for Recommendation 10 is a user acceptance barrier: the system might cause slight annoyance to car drivers since prioritisation of pedestrians may lead to longer waiting times for cars (especially during rush hour). This could increase the red light running of cars. The annoyance caused to car drivers for giving prioritisation to pedestrians can be solved with a preliminary study of the intersection/area or environment in the traffic plan. In order to reduce waiting times for motorists, various technical developments could be envisaged: (i) pedestrian data could be entered into the traffic optimisation process (along with cyclists detected at the lights) to ensure optimum flow of all modes; (ii) pedestrian calls could be cancelled if the pedestrian has already crossed the street during a gap in traffic, before the pedestrian green phase has appeared. The impact on flow and safety of both types of developments would need to be established.
The primary stakeholders for this action were identified as follows, with remarks regarding the costs and roles:
The EC: possibly involved in funding activities due to priority on Vulnerable Road Users and on Smart Cities (promote soft mode use, reducing emissions, promoting healthy lifestyles);
Road authorities and governments should be involved in testing activities and need to pay for the implementation of these algorithms for their traffic lights;
Research institutes: developing and critically evaluating the findings of the tests and ensure data collection during testing;
Technical partners, system suppliers, sensor developers: developing and providing equipment for the field tests; and
Representatives of user groups: ensure the needs of the specific groups are met by the innovation.
After the qualitative analysis of the 22 recommendations, a quantitative analysis was carried out for the main recommendations . Eleven of these main recommendations were selected based on the overall scores at the workshop and the questionnaire. For the aspects “safety, mobility and comfort” (R5) and “privacy, data storage, ethical and moral issues” (R13), which were not covered by the selected recommendations, the recommendations R5 and R13, which scored best for these topics in the workshop and questionnaires were added. Table 9 provides an overview of the recommendations selected for quantitative analysis, together with the systems affected by these recommendations.
The affected systems, as shown in Table 9, have a central role in monetising the added benefits of carrying out the recommendations.
The recommendations that score best are research on VRU detection (R1) and research on road user behaviour (R2), both of which are research based. The added benefits are estimated to be over €2.5 billion (bn), with INS and PCDS + EBR as systems that increase their effectiveness the most. Similar results are seen for other recommendations, often with INS and PCDS + EBR contributing with positive values to the total impact. In addition, high positive effects are seen in PTW2V, contributing to higher total scores of a few recommendations. Recommendations with an impact between €1 bn and €2.5 bn are functionality integration (R11) research strategies for warning road users (R3), involve testing (R6 and R9), standardisation (R8) and privacy (R13).
3.4 Final ranking of recommendations
The results of the qualitative and quantitative analysis were used as input for a MCA to rank the 13 main recommendations. Table 11 presents an overview of the MCA results for the 13 main recommendations (based on calculations carried out by Ecorys). For more information on how the MCA was carried out, refer further to .
The results show that the highest scoring recommendations are all related to research activities and technical improvement. The fourth highest scoring recommendation is related to privacy aspects and data storage. The next two recommendations with 12.5 overall points, both score lower on potential benefits, but score relatively high on the other aspects, such as short time horizon for carrying out the recommendation. The recommendation concerning standards scored lower (R8) due to the high costs, while the recommendation concerning integration in one system scored lower due to the challenges experienced in implementation. The recommendations regarding testing of systems (R6 and R9) scored lower due to the relative high costs and challenging implementation. Recommendations regarding specific systems (R7 on IPT and R12 on BSD) score quite low, because they only concern one ITS system.
4 Overview of the selected recommendations
This section describes the recommendations with the highest scores (Table 11) in more detail.
Several of the recommendations are related to research to improve the performance of the systems, i.e. to determine reliably that there is a risk for an imminent collision and to decide to warn the driver or take a corrective action. In order to achieve a high performance, a high accuracy of the detection of the VRU and correct classification (R1) is needed, as well as an accurate prediction of the behaviour of the VRUs and their trajectories (R2), and as efficient warning strategies (R3) and efficient user interfaces (R4) to achieve the desired reaction of the road user.
Significant R&D has been performed on detecting pedestrians by vehicle sensors , much less research has been conducted regarding cyclists  and other VRUs. Work on accurate prediction of the behaviour of VRUs and their trajectories has been performed by Brunsmann et al.  and Köhler et al. . The Euro NCAP rating system includes AEB systems for specific scenarios for pedestrians since 2016 and from 2018 onwards, will include both cyclists as well as night and obscure lighting conditions , which will stimulate development and deployment in this field. Additional funding is required in order to stimulate the development of systems addressing a wide range of road user types in challenging urban settings and environmental conditions.
User interface design, together with the comfort levels of the user, are crucial in influencing the use of the systems and the compliance with the advice provided by the system. The user interface should be designed to receive a correct and timely response of the road users addressing aspects such as comprehensible information presentation, minimum distraction and a reduced workload. Guidelines have been developed for user interfaces for drivers, e.g. [14, 15]. Aspects which require further research include integration of ITS and warnings to bicycles, helmets, vests, and the optimal way to provide warnings to the different road users.
The system warnings should initiate the desired reaction by the road user without causing annoyance, which can occur in case of too frequent low risk warnings. For vehicle drivers, research on warning strategies has been performed for ADAS systems [16, 17]. As the amount of assisting systems increases and hence potential warnings, guidelines are required for developers on the optimal timing and warning modes for drivers and other road users, to achieve an efficient reaction and increased system acceptance. Efficient warning strategies will have a positive effect on safety, and result in a small increase of penetration rate.
Recommendations R6 and R9 are both related to testing. Testing both in controlled situations and in a simulator testing is needed in order to increase the understanding of the interaction of different categories of VRUs - including elderly persons, people with limited mobility and vehicle drivers - with the systems (R6). Large scale field tests and system evaluations are needed to provide more evidence on benefits, limitations and costs of the systems (R9), as well as provide information on the long-term effects of the systems on the behaviour of both VRUs and vehicle drivers. This will produce a more concrete understanding of the feasibility of installing an ITS. The costs and complexity of field tests and system evaluations are often too large for investors to bear alone, and therefore require collaboration between stakeholders from different sectors and domains.
Two recommendations relate to signalised intersections: “Design of traffic light control systems which take the whole traffic demand of both vehicles and VRUs into account” (R7) and “Traffic signal systems for intersections should be able to adapt to different environments in order to accommodate for different traffic management schemes and different environmental conditions” (R10). Technologies such as big data and IoT allow for a real-time view of all road users approaching, waiting and crossing the intersection. This allows for the optimisation of traffic light phases for all road users, taking into account the VRU needs and policy goals for throughput, emissions and mobility, as well as avoiding unnecessary waiting times for road users.
Standardisation of the functionalities of the systems, including VRU related cooperative systems and communication between VRUs and vehicles, is required to enable interoperability (R8). For C-ITS systems, current message implementations, such as CAM and DENM do not take VRUs into account in a structured way. Recently, work on this subject has started in ETSI with the study on VRU use cases and standardisation perspectives (TR 103300). Further progress of this standardisation work for ITS systems for VRUs and underlying message sets and communication networks needs to take place in the upcoming years based on new insights, applications, and technologies.
Standardisation is a prerequisite to make the integration of different (cooperative) functionalities in a single device (R11) possible. The ITS applications for VRUs can either be deployed as apps in smartphones or on dedicated devices, which are integrated in the VRU vehicles, such as electric bikes, mopeds and motorcycles. The integration of communication equipment in VRU vehicles provides challenges, including limited cost, size and power consumption of the devices. Research and development has to address the physical integration of the devices in the vehicles, including the antenna design and radiation patterns for optimal performance of the devices. In case smartphones are used, the smartphone has to sense the context of the user, e.g. is the user walking outdoors or indoors, sitting in a bus, etc.
Privacy is critical in ITS systems, and is a major barrier to the deployment of systems. This is especially the case for C-ITS systems , where users broadcast data on their location. The C-ITS Platform addresses privacy and security, mainly for vehicle systems, but needs to be further developed to include VRU applications. Proper procedures for data exchange, data collection and storage, and the use of collected data (R13) have to be developed to guarantee the privacy of all road users.
Recommendation R12 relates to the blind-spot detection system. Legislation has to be implemented enforcing all trucks and buses to have blind spot detection systems with sensors at the back and at both sides of the vehicle.
For all infrastructure related systems, reliability considerations (including harsh weather conditions and light pollution) should have be accounted for in procurement procedures (R5). Governments should therefore include a comprehensive set of rules regarding a wide range of aspects ensuring that the deployed system works reliably in all environmental conditions and mitigates negative external effects (e.g. light pollution).
5 Pros and cons of methodology
An overview of the pros and cons of the methodology for identifying and ranking recommendations for actions supporting ITS developments for VRUs can be provided by using the experiences in the VRUITS project. In addition, some guidelines will be provided for exploiting the methodology in future projects.
5.1 Pros of the methodology
The main advantage of the methodology is that it provides a filtering process that can be applied to shorten a long list of a very broad range of recommendations which have been defined based on qualitative information and to arrive at a short list of recommendations, by exploiting a combination of qualitative and quantitative information. The stepwise selection process of relevant recommendations ensured that most attention and in-depth analysis is focused to the most promising recommendations.
The methodology uses available results from earlier work done in the VRUITS project, such as the CBA calculations. Detailed interim results of the various steps provide relevant information which can be further used in the future work.
The adopted stepwise methodology included multiple validation checks with experts. Therefore, the methodology offered sufficient possibilities for feedback and review to improve the interim results. Furthermore, the workshop offered the possibility to discuss the interim results with the main stakeholders and to take their suggestions into account.
Quantification using classes of potential benefits provided an indication of the order of magnitude of the expected effects, despite the limited available quantitative information. The potential benefits were presented in this way in order to avoid a false expression of accuracy, which would be the case if we would present potential benefits in euros.
5.2 Cons of the methodology
It is a cumbersome methodology with a significant number of steps, which need to be carried out to define a final short list of recommendations.
A significant amount of time is needed to apply the methodology. Furthermore, the success of the execution of the methodology depends on the willingness of external experts to contribute to the process. The consulted experts must allocate sufficient time to the consultation and they need to be well prepared in order to fully understand the questions and provide relevant inputs.
There are some subjective elements in the methodology, such as quantifying the impacts using categories very small/small/average/large and when defining the weights in the MCA used for ranking the recommendations. The risk of subjective elements was minimised by involving stakeholders and experts in the process of validating the interim results.
Results of combining multiple recommendations during the benefit analysis of the main recommendations was not investigated in the VRUITS project. However the methodology is flexible enough to be adapted to take this into account, for example, by handling the combination of recommendations as a new recommendation and to carry out the same benefit analysis as has been used for a single recommendation.
5.3 Guidelines for using the methodology in future projects
The methodology can be applied in future projects when CBA calculations are available, or can be performed for the ITS systems that are examined. The methodology can also be used where limited quantitative inputs are available. These can be used to provide detailed quantified benefits.
An alternative application of this methodology is to use another, less complicated way to estimate the classes of potential benefits by exploiting only qualitative input data. This would render the methodology less time consuming. However if the analysis is done in a qualitative way, the results will probably be less robust than when using the quantitative input data.
This methodology can also be more easily applied when it is possible to collect and use additional quantitative data in a more limited scale than in the VRUITS project for the calculation of the potential costs and benefits of applying the ITS. This could be the case when referring to a regional and local level, where more detailed quantitative information is likely to be available.
A wide range of different type of recommendations directed to different stakeholders were identified during the assessment.
In order to achieve the full potential of the ITS systems at EU level, a wide range of barriers have to be overcome, including technical issues (detection inaccuracy, uncertainty in road user trajectories), user acceptance issues (high level of unnecessary warnings, lack of suitable user interface), business models (high costs, chicken-egg problems) and legal issues (privacy, current legislation). In order to address these barriers, a large set of recommendations has been identified, covering a wide range of potential measures, including research activities to technical aspects, field tests and simulation, behaviour and usage aspects. Cooperation of a wide range of stakeholders is critical for implementing the recommendations: European Commission, national authorities, various industries, user organisations and research organisations all play a role. Market related aspects and business models should also be investigated.
Focus should be on the implementation of the 13 main recommendations.
Based on the results of the analysis carried out, the focus should be on implementing the thirteen main recommendations. The recommendations regarding procurement (R5) and system design of traffic control systems (R10) can almost be directly taken forward. The technical recommendations regarding road user modelling (R1) and location accuracy (R2) are critical, as they allow the systems to more accurately predict potential collisions. Improved technical performance increases user acceptance by reducing “nuisance” alerts and enables increased efficiency in warning the driver or taking corrective actions. Major issues are the costs of the systems and privacy related issues. Field tests and large pilots which study how road users interact with the systems and demonstrate the benefits of the systems are needed. In order to implement the suggested recommendations successfully, all stakeholders have to be involved. The implementation and time planning of the other recommendations should be further discussed with the main stakeholders. A relevant aspect when discussing implementation is also the stability and safety of each ITS system, which can be addressed by looking at the possibility of malfunctions, consequences of ITS failure and potential maintenance costs. OEMs and infrastructure system providers should be stimulated to implement the sensors system and collision prevention tools. Authorities should be stimulated to deploy the systems, and road users encouraged to use the devices and systems which have been designed to improve their safety.
Benefits of implementation of recommendations can be in the order of billion(s) euros.
Most of the recommendations address several ITS systems, including all in-vehicle systems. Recommendations affecting multiple ITS systems can have large potential benefits. In the Benefit Analysis, calculations of five factors have been taken into account: safety, mobility, comfort effectivity, penetration rates and costs. Having done this on multiple systems for 13 recommendations, it can be concluded that especially increasing the penetration rate (i.e. number of users European-wide) can greatly contribute to the total benefits.
Main challenges are cooperation of different stakeholders, different environments, long time horizon for implementation and high implementation costs of many recommendations.
Most of the recommendations include challenges at a technical level or requiring the collaboration of a wide set of stakeholders, which cannot be resolved within a short time horizon (shorter than 5 years). A similar conclusion is made in relation to costs: only a few solutions have low costs, and the most effective recommendations are less likely to have low costs.
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The research leading to these results has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement n° 321 586.
This article is part of Topical collection on The Influence of Intelligent Transport Systems on Vulnerable Road User Accidents
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Mans, D., Giannelos, I., van Breemen, R. et al. Recommendations for actions concerning supporting ITS developments for VRUs. Eur. Transp. Res. Rev. 9, 22 (2017). https://doi.org/10.1007/s12544-017-0237-9