Evaluation on Traffic Guidance Plan during Construction Period based on Vissim Simulation

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International Journal of Advanced Network, Monitoring and Controls

Xi'an Technological University

Subject: Computer Science, Software Engineering

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eISSN: 2470-8038

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VOLUME 2 , ISSUE 4 (December 2017) > List of articles

Evaluation on Traffic Guidance Plan during Construction Period based on Vissim Simulation

Zheng Huimin / Chen Xuan / Sun Zhanxian

Keywords : Traffic impact, OD distribution, Traffic Organization Plan, VISSIM Simulation, guidance measures

Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 4, Pages 181-185, DOI: https://doi.org/10.1109/iccnea.2017.72

License : (CC BY-NC-ND 4.0)

Published Online: 23-April-2018

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ABSTRACT

With the urbanization process speeding up, the construction of City Road increased rapidly. So limited road resource is often occupied during the road construction, which makes road capacity of construction affected area greatly decrease. Then the contradiction of city original transport supply becomes more prominent. Therefore, it is very important to make a reasonable traffic organization plan. At first According to the present traffic investigation and construction site management program, combining with the OD Origin - Destinationdistribution principle, the traffic impact of construction section is analyzed, the scope of influence is determined. The Taihangshan Road of Qingdao No.1 subway line is taken as an example, three evaluation indicators, such as: average delays, queue length, number of vehicles between OD points are selected combined with current traffic flow. The available traffic guiding schemes include temporary widening of roads, traffic management measures and construction safety guarantee measures, and so on. Then VISSIM is used for the guidance measures simulation. Finally, According to the simulation results, quantitative guidance measures are evaluated. The choice of reasonable conduct measures is based on relevant data.

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