Ahn, K. (1998). Microscopic fuel consumption and emission modeling (thesis) Virginia Tech.
Google Scholar
Ahn, K., Rakha, H., Trani, A., & Van Aerde, M. (2002). Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels. Journal of Transportation Engineering, 128, 182–190.
Article
Google Scholar
Bedner, E., Fulk, D., & Hac, A. (2007). Exploring the trade-off of handling stability and responsiveness with advanced control systems (SAE technical paper no. 2007–01–0812). Warrendale: SAE International. https://doi.org/10.4271/2007-01-0812.
Book
Google Scholar
Ciuffo, B., Makridis, M., Toledo, T., & Fontaras, G. (2018). Capability of current car-following models to reproduce vehicle free-flow acceleration dynamics. IEEE Transactions on Intelligent Transportation Systems, 19, 3594–3603.
Article
Google Scholar
Dvorkin, W., King, J., Gray, M., & Jao, S. (2019). Determining the greenhouse gas emissions benefit of an adaptive cruise control system using real-world driving data. Presented at the WCX SAE World Congress Experience. Detroit.
European Commission. (2016). A European strategy for low-emission mobility.
Google Scholar
Faris, W. F., Rakha, H. A., Kafafy, R. I., Idres, M., & Elmoselhy, S. (2011). Vehicle fuel consumption and emission modelling: An in-depth literature review. International Journal of Vehicle Systems Modelling and Testing, 6, 318–395.
Article
Google Scholar
Fiori, C., Arcidiacono, V., Fontaras, G., Makridis, M., Mattas, K., Marzano, V., Thiel, C., & Ciuffo, B. (2019). The effect of electrified mobility on the relationship between traffic conditions and energy consumption. Transportation Research Part D: Transport and Environment, 67, 275–290.
Article
Google Scholar
Hellström, E., Åslund, J., & Nielsen, L. (2010). Design of an efficient algorithm for fuel-optimal look-ahead control. Control Engineering PracticeSpecial Issue on Automotive Control Applications, 2008 IFAC World Congress, 18, 1318–1327.
Article
Google Scholar
Jia, D., Lu, K., Wang, J., Zhang, X., & Shen, X. (2016). A survey on platoon-based vehicular cyber-physical systems. IEEE Communication Surveys and Tutorials, 18, 263–284.
Article
Google Scholar
Kamal, M. A. S., Mukai, M., Murata, J., & Kawabe, T. (2013). Model predictive control of vehicles on urban roads for improved fuel economy. IEEE Transactions on Control Systems Technology, 21, 831–841.
Article
Google Scholar
Kiam Heong, A., Chong, G., & Li, Y. (2005). PID control system analysis, design, and technology. IEEE Transactions on Control Systems Technology, 13, 559–576. https://doi.org/10.1109/TCST.2005.847331.
Article
Google Scholar
Ko, Y., Song, B., & Oh, Y. (2019). Mathematical analysis of environmental effects of forming a platoon of smart vehicles. Sustainability, 11, 571.
Article
Google Scholar
Kohut, N. J., Karl Hedrick, P. J., & Borrelli, P. F. (2009). Integrating traffic data and model predictive control to improve fuel economy. IFAC Proceedings Volumes12th IFAC Symposium on Control in Transportation Systems, 42, 155–160.
Article
Google Scholar
Larue, G. S., Malik, H., Rakotonirainy, A., & Demmel, S. (2014). Fuel consumption and gas emissions of an automatic transmission vehicle following simple eco-driving instructions on urban roads. IET Intelligent Transport Systems, 8, 590–597.
Article
Google Scholar
Lei, C., van Eenennaam, E. M., Klein Wolterink, W., Ploeg, J., Karagiannis, G., & Heijenk, G. (2012). Evaluation of CACC string stability using SUMO, Simulink, and OMNeT++. EURASIP Journal on Wireless Communications and Networking, 2012, 116.
Article
Google Scholar
Li, L., Wang, X., & Song, J. (2017). Fuel consumption optimization for smart hybrid electric vehicle during a car-following process. Mechanical Systems and Signal ProcessingSignal Processing and Control challenges for Smart Vehicles, 87, 17–29.
Article
Google Scholar
Li, S., Li, K., Rajamani, R., & Wang, J. (2011). Model predictive multi-objective vehicular adaptive cruise control. IEEE Transactions on Control Systems Technology, 19, 556–566.
Article
Google Scholar
Li, S., Li, K., Wang, J., Zhang, L., Lian, X., Ukawa, H., & Bai, D. (2008). MPC based vehicular following control considering both fuel economy and tracking capability. In 2008 IEEE vehicle power and propulsion conference. Presented at the 2008 IEEE Vehicle Power and Propulsion Conference (pp. 1–6).
Google Scholar
Luo, Y., Chen, T., Zhang, S., & Li, K. (2015). Intelligent hybrid electric vehicle ACC with coordinated control of tracking ability, fuel economy, and ride comfort. IEEE Transactions on Intelligent Transportation Systems, 16, 2303–2308.
Article
Google Scholar
Ma, G., Ghasemi, M., & Song, X. (2018). Integrated powertrain energy management and vehicle coordination for multiple connected hybrid electric vehicles. IEEE Transactions on Vehicular Technology, 67, 2893–2899.
Article
Google Scholar
Makridis, M., Fontaras, G., Ciuffo, B., & Mattas, K. (2019). MFC free-flow model: Introducing vehicle dynamics in microsimulation. Transportation Research Record. https://doi.org/10.1177/0361198119838515.
Makridis, M., Mattas, K., Borio, D., Giuliani, R., & Ciuffo, B. (2018). Estimating reaction time in adaptive cruise control system. In 2018 IEEE intelligent vehicles symposium (IV) (pp. 1312–1317).
Chapter
Google Scholar
Makridis, M., Mattas, K., & Ciuffo, B. (2019). Response time and time headway of an adaptive cruise control. An empirical characterization and potential impacts on road capacity. IEEE Transactions on Intelligent Transportation Systems, 1–10. Early Access.
Mamouei, M., Kaparias, I., & Halikias, G. (2018). A framework for user- and system-oriented optimisation of fuel efficiency and traffic flow in adaptive cruise control. Transportation Research Part C: Emerging Technologies, 92, 27–41.
Article
Google Scholar
Markschläger, P., Wahl, H.-G., Weberbauer, F., & Lederer, M. (2012). Assistance system for higher fuel efficiency. Auto Tech Review, 1, 40–45.
Article
Google Scholar
MathWorks. (2019). 2D correlation coefficient
https://uk.mathworks.com/help/images/ref/corr2.html.
Google Scholar
Munyaneza, O., Munyazikwiye, B. B., & Karimi, H. R. (2015). Speed control design for a vehicle system using fuzzy logic and PID controller. In Presented at the 2015 international conference on fuzzy theory and its applications (iFUZZY) (pp. 56–61).
Chapter
Google Scholar
Osman, K., Rahmat, M. F., & Ahmad, M. A. (2009). Modelling and controller design for a cruise control system (pp. 254–258). Presented at the 2009 5th International Colloquium on Signal Processing Its Applications. Penang.
Park, S., Rakha, H., Ahn, K., & Moran, K. (2013). Fuel economy impacts of manual, conventional cruise control, and predictive eco-cruise control driving. International Journal of Transportation Science and Technology, 2, 227–242.
Article
Google Scholar
Raposo, A. (2017). The r-evolution of driving: From connected vehicles to coordinated automated road transport (C-ART). European Commission. Publications office of the European Union.
Themann, P., Bock, J., & Eckstein, L. (2015). Optimisation of energy efficiency based on average driving behaviour and driver’s preferences for automated driving. IET Intelligent Transport Systems, 9, 50–58.
Article
Google Scholar
Vajedi, M., & Azad, N. L. (2016). Ecological adaptive cruise controller for plug-in hybrid electric vehicles using nonlinear model predictive control. IEEE Transactions on Intelligent Transportation Systems, 17, 113–122.
Article
Google Scholar
Wu, C., Zhao, G., & Ou, B. (2011). A fuel economy optimization system with applications in vehicles with human drivers and autonomous vehicles. Transportation Research Part D: Transport and Environment, 16, 515–524.
Article
Google Scholar
Xie, S., Hu, X., Liu, T., Qi, S., Lang, K., & Li, H. (2019). Predictive vehicle-following power management for plug-in hybrid electric vehicles. Energy, 166, 701–714.
Article
Google Scholar
Zhao, R. C., Wong, P. K., Xie, Z. C., & Zhao, J. (2017). Real-time weighted multi-objective model predictive controller for adaptive cruise control systems. International Journal of Automotive Technology, 18, 279–292.
Article
Google Scholar
Zhao, W., Ngoduy, D., Shepherd, S., Liu, R., & Papageorgiou, M. (2018). A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection. Transportation Research Part C: Emerging Technologies, 95, 802–821.
Article
Google Scholar
Zhou, M., Jin, H., & Wang, W. (2016). A review of vehicle fuel consumption models to evaluate eco-driving and eco-routing. Transportation Research Part D: Transport and Environment, 49, 203–218.
Article
Google Scholar