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Research on the Method of Traffic Organization and Optimization Based on Dynamic Traffic Flow Model
Author(s) -
Shubin Li,
Guang-min Wang,
Tao Wang,
Hualing Ren
Publication year - 2017
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2017/5292616
Subject(s) - computer science , traffic flow (computer networking) , traffic generation model , economic shortage , transport engineering , operations research , network traffic simulation , order (exchange) , traffic optimization , network traffic control , traffic congestion , floating car data , business , real time computing , computer network , engineering , linguistics , philosophy , finance , government (linguistics) , network packet
The modern transportation system is becoming sluggish by traffic jams, so much so that it can harm the economic and society in our country. One of the reasons is the surging vehicles day by day. Another reason is the shortage of the traffic supply seriously. But the most important reason is that the traffic organization and optimization hardly met the conditions of modern transport development. In this paper, the practical method of the traffic organization and optimization used in regional area is explored by the dynamic traffic network analysis method. Firstly, the operational states of the regional traffic network are obtained by simulation method based on the self-developed traffic simulation software DynaCHINA, in which the improved traffic flow simulation model was proposed in order to be more suitable for actual domestic urban transport situation. Then the appropriated optimization model and algorithm were proposed according to different optimized content and organization goals, and the traffic simulation processes more suitable to regional optimization were designed exactly. Finally, a regional network in Tai’an city was selected as an example. The simulation results show that the proposed method is effective and feasible. It can provide strong scientific and technological support for the traffic management department

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