Computational Intelligence for Traffic and Mobility


ISBN: 978-94-91216-79-4 (Print) 978-94-91216-80-0 (Online)
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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xi

  2. Book Chapter

    Pages 1-18

    Sequential Advanced Guide Signing for Work Zone Related Rerouting on Highways: The Effect of Longitudinal Location on the Driver’s Trajectory Control

  3. Book Chapter

    Pages 19-36

    The Relationship between Driver Fatigue and Monotonous Road Environment

  4. Book Chapter

    Pages 37-56

    Driving Situation Awareness in Transport Operations

  5. Book Chapter

    Pages 57-70

    Container Drayage Operations at Intermodal Terminals: A Deterministic Annealing Approach

  6. Book Chapter

    Pages 71-88

    Application of Genetic Algorithm to Optimize Transit Schedule under Time-Dependent Demand

  7. Book Chapter

    Pages 89-105

    Validation of an Activity-Based Traffic Demand Model for Flanders Implemented in the FEATHERS Simulation Platform

  8. Book Chapter

    Pages 107-127

    Driver Behaviour in Conflict with Redcrossing Pedestrians on Urban Crosswalk

  9. Book Chapter

    Pages 129-158

    Cellular Automaton Model and Simulation of Traffic and Mobility Operations

  10. Book Chapter

    Pages 159-171

    A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models

  11. Book Chapter

    Pages 173-195

    VLSN Search Method Based Hubs Location and Service Frequency Determination for the Intermodal Freight Transportation Network

  12. Book Chapter

    Pages 197-222

    Quantitative Risk Assessment for Traffic and Mobility Safety

  13. Book Chapter

    Pages 223-242

    Investigating the Progress towards Sustainable Road Transport in Europe: Lessons Learned from a DEA-based Malmquist Productivity Index

  14. Book Chapter

    Pages 243-265

    Modeling of Traffic Behavior in Traffic Safety Using a Reliability Approach

  15. Book Chapter

    Pages 267-296

    Applications of Multi-Source Traffic Data on Mobility Analysis for Urban Road Network

  16. Book Chapter

    Pages 297-319

    Practical Methods in Traffic Demand Forecasting Model

  17. Back Matter

    Pages 321-337