Research On Identification And Solution Method Of Urban Bottleneck Intersection

As an important node in the urban road network, Bottleneck intersection is one ofthe important factors leading to the urban road traffic congestion, which triggered a"domino" deadlock phenomenon of the urban road network, the result is a to causeroad network traffic running severely paralyzed, cause serious economic losses andsocial losses. For such phenomena, the bottleneck intersection signal optimization isespecially important to improve the traffic congestion situation.This paper introduces the concept of traffic congestion and traffic bottlenecks, aswell as the relationship and differences between them, and defines the meaning of thefixed traffic bottleneck and dynamic traffic bottlenecks on this basis, thus givingidentify fixed traffic bottlenecks with dynamic traffic bottlenecks.Second, analysis of the root cause of traffic congestion in the large area of the cityroad network is traffic demand greater than supply, according this reason, for thetraffic bottleneck formation mechanism and operation principle, this paper makingdiscussed in depth, and summary of the traffic bottleneck diffusion law and evaluationsystems. On this basis, using the distribution of wave theory, analysis bottlenecksections vehicles queuing mechanism affect the signalized intersection capacity,established appropriate traffic simulation, and verified the calculation accuracy tomeet the requirements of the theoretical research.At the same time, Proposed the bottleneck intersection signal optimization controlmethod, the one is for a single point control signal timing, from demand control andsupply control optimization two aspects analysis; on the other hand is analysis theintersection signal timing coordination for bottlenecks, mainly proposed green timeand the phase optimization method, then the transition program for the methodproposed. Finally, the bottleneck intersection signal optimization based on queuingtension coefficient was put forward, and verify the feasibility and effectiveness of thismethod.Finally, summary the thesis research progress and major achievements andpresented the main problems in the research process, and the needs to be improved in the future and in-depth study of the content, to pave the way for future research. Butfor some of the details of the text also need further improvements, for example, raisedthe queuing tension coefficient bottleneck intersection signal optimization, only thesimulation method in practical applications, such as if you want to get better controleffect there need to find closer to the actual data as the basis.