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Car-Following Model Based on Ahead Acceleration and Velocity Differences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The traditional car-following theory suppose that drivers' reaction absolutely depend on leading-vehicle behavior. Actually, drivers make decisions based on the information of leading-vehicle and the second leading-vehicle, even more. Recent researches only consider the speeds and locations of multiple leading-vehicles, but the acceleration of leading-vehicle also plays a vital role in the car-following characteristics. Based on the FVD (Full Velocity Difference) model and the OV (Optimal Velocity model) model, the MAAVD (Multiple Ahead Acceleration and Velocity Differences) model which take accelerations and velocities of multiple leading-vehicles into account is established. Linear stabilization and sensitivity of susceptibility of different models are simulated and compared. The result shows that the new model could improve the stability of traffic flow by considering the information of leading-vehicle and second leading-vehicle and could improve the stability better by considering the acceleration of leading-vehicle.

Original languageEnglish
Title of host publicationICTE 2015 - Proceedings of the 5th International Conference on Transportation Engineering
EditorsQiyuan Peng, Bingzhi Chen, Kelvin C. P. Wang, Xiaobo Liu
PublisherAmerican Society of Civil Engineers (ASCE)
Pages3036-3043
Number of pages8
ISBN (Electronic)9780784479384
DOIs
StatePublished - 2015
Externally publishedYes
Event5th International Conference on Transportation Engineering, ICTE 2015 - Dalian, China
Duration: 26 Sep 201527 Sep 2015

Publication series

NameICTE 2015 - Proceedings of the 5th International Conference on Transportation Engineering

Conference

Conference5th International Conference on Transportation Engineering, ICTE 2015
Country/TerritoryChina
CityDalian
Period26/09/1527/09/15

Keywords

  • Car-following model
  • Multiple leading vehicles
  • Stability.

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