Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Mixed Flow Simulation at Urban Intersections: Computational Comparisons between Conflict-Point Detection and Cellular Automata Models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
Lishao Wang ; Integrated Transp. Res. Center of China, Beijing Jiaotong Univ., Beijing, China ; Baohua Mao ; Shaokuan Chen ; Kuilin Zhang

This paper presents a continuous simulation-based model for mixed traffic flow between motor and non-motor vehicles at intersections in major cities in China. Not like in developed countries, conflict points and rule-less of mixed flow in intersection, which greatly impaired the traffic capacity, is the major traffic issues at the intersections in China, Therefore, we introduce a conflict-point detection (CD) model using conflict points' information between motor (e.g. cars, buses, and motorcycles) and non-motor vehicles (e.g. bicycles and pedestrians) based on continuous simulation methodologies to improve this situation. The differences of space and time complexities between CD and cellular automata (CA) models are employed through simulation examples. Results show that the CD model is pretty fitting for the practical traffic analysis to deal with traffic safety issues and help to diminish the chaos at the intersections greatly.

Published in:

Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on  (Volume:2 )

Date of Conference:

24-26 April 2009