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Cluster Computing

, Volume 22, Supplement 3, pp 5919–5929 | Cite as

The simulation model on delay time of road accessibility based on intelligent traffic control system

  • Zhichao LiEmail author
  • Ru Jia
  • Jilin Huang
Article

Abstract

After the Chinese government launched the policy of opening residential, the effects of easing traffic congestion have been widely discussed. In this paper, the impact of the open area on the surrounding road capacity is studied and analyzed quantitatively, and some feasible suggestions are put forward. First of all, we use the road congestion indicators to reflect the road traffic situation. And according to the three indexes to build an evaluation index system that can evaluate the influence of opening residential quarter on the surrounding road capacity. After determining the final evaluation indexes, the analytic hierarchy process is used to determine their standard weights. Second, build a mathematical model of vehicle traffic. The crossing time of vehicles is used to measure the traffic condition. Last but not least, suppose that after opening the residential quarter, there will be more vehicles, with the increase of the number of vehicles, the road saturation will increase, which will lead to the increase of traffic time. In the paper, three typical opening road structures are established to specific analyze the changes of the crossing time of vehicles, and then, use model one and model two to solve it. Opening residential quarter has a certain positive effect on the surrounding road capacity, on the condition of the number of connections between the opening residential quarter and the surrounding roads is not more than two. Otherwise, it will increase road congestion. In spite of a certain positive effect that opening residential quarter brings to the surrounding road capacity, blindly increase the number of opening residential quarter roads, road congestion may be increased.

Keywords

Opening residential quarter Smart traffic control system Delay time Road structure Road capacity 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Political Science and Public AdministrationUniversity of Electronic Science and Technology of ChinaChengduChina

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