Title :
Improving Urban Traffic by Velocity Guidance
Author :
Chao-Qun, Mei ; Hai-jun, Huang ; Tie-Qiao, Tang
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Aeronaut. & Astronaut., Beijing
Abstract :
In this paper, we use CA model to study the traffic flow on a ring road with one traffic light. A velocity guidance strategy is presented: when crossing traffic light, a message will give the driver a desired velocity in order that he can avoid sharply brakes when signal light turns red. The numerical results show that the velocity guidance strategy can efficiently reduce the ratio of the stopped vehicles and get relatively high and stable flow.
Keywords :
cellular automata; road traffic; cellular automata model; ring road traffic light; urban traffic flow model; velocity guidance strategy; Automatic control; Automation; Control systems; Feedback; Lighting control; Navigation; Roads; Space technology; Traffic control; Vehicles;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.288