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Combination of car following and lane changing models as a drivers' optimization process

Hoseini, S. M. S ; Sharif University of Technology | 2004

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  1. Type of Document: Article
  2. DOI: 10.1061/40730(144)111
  3. Publisher: ASCE - American Society of Civil Engineers , 2004
  4. Abstract:
  5. There are many reported researches considering movement behavior of vehicles. In these studies the two basic types of movement of a vehicle are longitudinal movement, car following, and lateral movement, lane changing. Dependency between car following and lane changing models and the fact that many of drivers does not consider driving lanes, necessitate developing of models that combine the car following and lane changing without considering the driving lanes. Utilizing computer simulation, the work can also be applied to conditions where lane disciplines are strictly observed. Microscopic simulation models considering the movement of individual vehicles in a traffic stream can be particularly useful for traffic analysis. This paper describes a research to develop a microscopic model for driving behavior based on the optimization process of each driver for increasing his/her speed and decreasing his/her risk of collision. In this research a basic freeway segment has been divided into cells. Individual vehicles in each simulation time step occupy single cells and their movements in these cells describe movement of vehicles in the motorway. The main concept of this research is to combine car following and lane changing models as an optimization process of drivers for increasing the speed and decreasing the risk of collision
  6. Keywords:
  7. Automobile drivers ; Software engineering ; Risk assessment ; Optimization ; Mathematical models ; Ground vehicles ; Computer simulation ; Collision avoidance
  8. Source: Proceedings of the Eighth International Conference on Applications of Advanced Technologies in Transportaion Engineering, Beijing, 26 May 2004 through 28 May 2004 ; 2004 , Pages 601-605
  9. URL: https://ascelibrary.org/doi/abs/10.1061/40730%28144%29111