DocumentCode :
257525
Title :
Using O-D estimation in dynamic road network traffic flow simulation
Author :
Liuqing Yang ; Gang Zong ; Yinghua Liu
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Technol., Beijing, China
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
441
Lastpage :
447
Abstract :
This paper presented a dynamic road network traffic flow simulation model. This model first uses gravity-based O-D estimation method to calculate the travel demand matrix of different sub regions. Second, this paper constructs a road network model on the basis of complex network and link resistance model to connect different traffic sub-zones. In addition, on the assumption that reasonable people usually choose the shortest path with minimum link resistance as their travel path, a mapping algorithm from travel demand to volume of traffic flow is introduced in our model. On the basis of the discrete-event simulation method, a simulation prototype system on PC is implemented. Experimental results show that this simulation system can simulate the dynamic evolution of travel demand and traffic flow in real time way and the model is effective.
Keywords :
discrete event simulation; graph theory; matrix algebra; road traffic; complex network; discrete-event simulation method; dynamic road network traffic flow simulation model; gravity-based O-D estimation method; link resistance model; mapping algorithm; minimum link resistance; shortest path; simulation prototype system; traffic flow volume; traffic subzones; travel demand matrix; travel path; Analytical models; Complex networks; Estimation; Immune system; Resistance; Roads; Telecommunication traffic; O-D estimation; link resistance; road network; simulation; traffic flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2014 IEEE/ACIS 13th International Conference on
Conference_Location :
Taiyuan
Type :
conf
DOI :
10.1109/ICIS.2014.6912174
Filename :
6912174
Link To Document :
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