The Space-Based Car-Following Model: Development and Application for Managed Motorway System Safety Evaluation

Kaveh Bevrani, Edward Chung, Pauline Teo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Traffic safety studies need more than what the current micro-simulation models can provide, as they presume that all drivers exhibit safe behaviors. Therefore, existing micro-simulation models are inadequate to evaluate the safety impacts of managed motorway systems such as Variable Speed Limits. All microscopic traffic simulation packages include a core car-following model. This paper highlights the limitations of the existing car-following models to emulate driver behaviour for safety study purposes. It also compares the capabilities of the mainstream car-following models, modelling driver behaviour with precise parameters such as headways and time-to-collisions. The comparison evaluates the robustness of each car-following model for safety metric reproductions. A new car-following model, based on the personal space concept and fish school model is proposed to simulate more accurate traffic metrics. This new model is capable of reflecting changes in the headway distribution after imposing the speed limit from variable speed limit (VSL) systems. This model can also emulate different traffic states and can be easily calibrated. These research findings facilitate assessing and predicting intelligent transportation systems effects on motorways, using microscopic simulation.

Original languageEnglish
Pages (from-to)443-465
Number of pages23
JournalFuture Transportation
Volume1
Issue number3
DOIs
Publication statusPublished - Dec 2021

Keywords

  • car-following models
  • headways distribution
  • microscopic simulation
  • safety
  • time-to-collision
  • variable speed limits

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Renewable Energy, Sustainability and the Environment
  • Energy (miscellaneous)

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