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Table 3 Results for the prediction of route travel times

From: Travel time predictions: should one model speeds or travel times?

 

H1

H2

WBH1

WBH2

R1

R2

SOT1

SOT2

ME d

-0.0117

-0.0120

-0.0474

-0.0317

-0.0174

-0.0170

0.0039

0.0091

ME i

-0.0044

-0.0067

-0.0324

-0.0218

-0.0076

-0.0108

0.0053

0.0118

STD d

0.0166

0.0137

0.0279

0.0287

0.0391

0.0363

0.0090

0.0114

STD i

0.0141

0.0126

0.0254

0.0244

0.0374

0.0350

0.0086

0.0075

RMSE d

0.0203

0.0182

0.0550

0.0427

0.0428

0.0401

0.0098

0.0146

RMSE i

0.0148

0.0143

0.0412

0.0327

0.0381

0.0366

0.0101

0.0140

DM RMSE

-7.8648

-8.0923

-23.8307

-14.9289

-11.2277

-12.5764

2.1170

-1.7351

MPE d

-15.1853

-17.6386

-52.6772

-34.6950

-19.0042

-21.2994

6.0415

15.2624

MPE i

-6.9565

-10.8569

-37.4062

-25.4849

-11.7500

-16.0288

8.9623

20.0743

MAPE d

19.0390

20.7938

53.5500

36.5048

27.8622

30.8618

11.6800

20.5318

MAPE i

13.8354

15.9044

39.2771

28.4912

23.6677

27.5891

11.6225

20.2972

DM MAPE

-15.2561

-17.4724

-57.0763

-29.5725

-23.2978

-25.6001

-0.4263

-2.3580

  1. ’d’ indicates the results for the direct method, ’i’ for the indirect. Bias (ME), standard deviation(STD) and RMSE values are divided by the total length of the routes in meters to make the numbers comparable (unit [s/m]) across routes