DocumentCode :
234875
Title :
Simulation Study on the Keep-Right-Except-to-Pass Rule Model Based on Cellular Automata
Author :
Xin Yang ; Linna Wang ; Hongbo Zai ; Yanrong Ren
Author_Institution :
Coll. of Electron. Eng., Sichuan Normal Univ., Chengdu, China
fYear :
2014
fDate :
15-16 Nov. 2014
Firstpage :
338
Lastpage :
342
Abstract :
We establish two models with Cellular Automaton (CA) to simulate the conditions of multi-lane freeways under the Keep-Right-Except-to-Pass (KRETP) rule and other improved road rules. We establish the Keep-Right-Except-to- Pass (KRETP) model, which takes into consideration human behaviors when simulating the KRETP rule in both light and heavy traffic. In this model we divide drivers into two categories: active drivers and conservative drivers. Results shows that when compared with single-lane stochastic cellular automata (STCA) model, the KRETP model does not show any obvious difference in light traffic. In heavy traffic, the KRETP rule also barely improves traffic flow. When further examined under different traffic conditions, the KRETP shows that lane changing frequency and the possibility of traffic accidents vary directly with traffic flow and inversely with traffic safety.
Keywords :
cellular automata; road safety; road traffic; stochastic processes; KRETP rule; STCA model; active drivers; conservative drivers; keep-right-except-to-pass rule; keep-right-except-to-pass rule model; multi-lane freeways; single-lane stochastic cellular automata model; traffic flow; traffic safety; Accidents; Analytical models; Automata; Mathematical model; Roads; Safety; Vehicles; Cellular Automaton; Lane-changing; Rule; Stochastic cellular automata; Traffic flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
Type :
conf
DOI :
10.1109/CIS.2014.142
Filename :
7016913
Link To Document :
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