Study Of Dynamic Signal Control Delay Optimization Model At Oversaturated Intersections

With the continuous development of urbanization, urban road traffic is becomingincreasingly important for the development of the city and people’s travel demands. Nowadays,motor vehicle ownership is increasing significantly, which is damaging the capacity of urbanroads and results in increasingly prominent contradiction between motor vehicle ownership andthe limited road resources. Intersections, as the inner-city traffic bottlenecks, are the commonarea where traffic congestion occurs; this not only increases traveler’s delay at traffic signals,but also degrades the efficiency of transport system, resulting in a great waste of energy andserious environmental pollutions. Therefore, how to alleviate the congestion at intersections andreduce intersection delay will be the key point when solving urban traffic congestion problems.Therefore, it is of significant importance to establish a real-time and accurate intersection delaymodel in order to alleviate urban traffic congestion, to reduce energy consumption and toreduce the contradiction between vehicles and road resources.Based on the intersection congestion characteristics, in this thesis, analytical approacheswere performed to make studies on the applicable conditions of oversaturated intersection delaymodels and classification of dynamic optimization control strategies. Accordingly, by combiningthe oversaturated intersection delay modeling process and dynamic control optimizationstrategies, a dynamic control delay optimization model for oversaturated intersections wasproposed. In accordance with the model characteristics, parameters which would make influenceto delay were selected so as to make further studies. And finally, VISSIM simulation softwarewas adopted to verify the effectiveness and accuracy of the model during both the Kthsignal cycle and the overall dissipation period; also, model parameters were verified, and accordinglyproved the accuracy of the proposed model.