01340881

Component

https://doi.org/10.3141/2249-02

http://scholar.google.com...Yang&publication_year=2011

Car-following theory is of significance in microscopic traffic flow theory. The key assumption of current car-following theory is that vehicles travel in the middle of a single lane. However, this assumption is unrealistic and cannot describe driving behavior in a complex traffic environment. When the lateral separation characteristics between the follower and the leader are taken into account, the time-to-collision equation is modified with visual angle information and introduced into the General Motors model. A non-lane-based model of car following was developed; it uses time to collision and is based on the stimulus–response framework. The proposed model was investigated with simulations conducted under several driving scenarios. The model could describe local and asymptotic stabilities, lateral movement, and the effect of neighboring vehicles. Results implied that this staggered car-following model incorporating lateral separation greatly enhanced the realism of car-following behavior.

01360411

11-0523

English

pp 7-14

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167697

Print

Figures (9) ; References (14) ; Tables (1)

Behavior; Car following; Drivers; Microscopic traffic flow; Traffic flow theory; Traffic models; Traffic simulation

Lateral movements; Time to collision; Visual angle

Highways; Operations and Traffic Management; I71: Traffic Theory

TRIS, TRB, ATRI

Feb 17 2011 5:28PM

• Adaptation Longitudinal Driving Behavior, Mental Workload, and Psycho-Spacing Models in Fog
• Correlated Parameters in Driving Behavior Models: Car-Following Example and Implications for Traffic Microsimulation
• Effects of Turning Maneuvers and Route Choice on a Simple Network
• Information Categorization Based on Driver Behavior for Urban Lane-Changing Maneuvers
• Interrelations of Reaction Time, Driver Sensitivity, and Time Headway in Congested Traffic
• Modeling Driver Behavior at Freeway–Ramp Merges
• New Model for Variable Speed Limits
• Probabilistic Graphical Models of Fundamental Diagram Parameters for Simulations of Freeway Traffic
• Simulation of Driver Behavior with Agent-Based Back-Propagation Neural Network
• Wave Velocity Estimation Through Automatic Analysis of Cumulative Vehicle Count Curves