DocumentCode
2820624
Title
Mixed Flow Simulation at Urban Intersections: Computational Comparisons between Conflict-Point Detection and Cellular Automata Models
Author
Wang, Lishao ; Mao, Baohua ; Chen, Shaokuan ; Zhang, Kuiling
Author_Institution
Integrated Transp. Res. Center of China, Beijing Jiaotong Univ., Beijing, China
Volume
2
fYear
2009
fDate
24-26 April 2009
Firstpage
100
Lastpage
104
Abstract
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.
Keywords
bicycles; cellular automata; computational complexity; road safety; road traffic; road vehicles; China; cellular automata model; chaos; conflict-point detection; mixed traffic flow simulation; motor vehicle; nonmotor vehicle; space complexity; time complexity; traffic safety; urban intersection; Automotive engineering; Bicycles; Chaos; Cities and towns; Computational modeling; Motorcycles; Telecommunication traffic; Traffic control; Vehicle detection; Vehicle safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3605-7
Type
conf
DOI
10.1109/CSO.2009.112
Filename
5193907
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