Analysis And Optimization Of Road Network Traffic Characteristics For Special Events

Due to the rapid growth of China's economy and the acceleration of social construction,the state has paid more and more attention to the construction of spiritual civilization.For example,large.scale conferences,military parades,sports events,performing arts activities,etc.,which require specific time and place.specific activities,are increasingly required.A large number of people and traffic flow in a short period of time,resulting in a steady imbalance of the traffic system,and causing serious road traffic congestion and even road network,such conditions are called special events.Whether the traffic operation during the special event is good or not is a key basis for judging whether the large.scale activities are carried out with high quality.How to reduce the obstacles caused by the activities to the social traffic under the premise of ensuring the good activities are carried out.This is a heated discussion among traffic scholars.a topic.In the context of special events,it is particularly important to study the traffic characteristics near the event venues.When large scale events are held,and the impacts on the surrounding traffic and the optimization and control methods during the activities.Firstly,the characteristics of traffic travel and the operational characteristics of traffic flow are in-depth analyzed.The traffic flow waveform prediction model and traffic flow spatial dissipation model of the front-end section of the channel are established separately for the traffic flow during the special event and the regular time traffic flow.To describe the road traffic operation law and the evolution mechanism of traffic flow during the special event,it is of great significance to enrich and improve the operation of the traffic system under special conditions.Secondly,deepen and integrate multi-source traffic data,study the multi-scale index system and index estimation model for accurate identification of road traffic congestion during special events,accurately perceive the spatio-temporal distribution and operational status of road traffic congestion,and quantitatively analyze the real-time traffic operation index,provide methodological basis for traffic congestion relief measures.Secondly,deepen and integrate multi-source traffic data,study the multi-scale index system and index estimation model for accurate identification of road traffic congestion during special events,accurately perceive the spatio temporal distribution and operational status ofroad traffic congestion,and quantitatively analyze the real time traffic operation index.The method of providing relief for traffic congestion provides a basis for the method.Thirdly,design and establish a two way road network traffic deconstruction double.layer optimization model.The upper layer model takes the shortest time of the system's traffic evacuation as the object,and the lower layer model uses the user optimal model of quasi dynamic traffic configuration.Communicate the data to the other party,form a balanced trend,and plan the best way to make a single line of the road network.On the basis of single line optimization,optimize the green letter ratio of the road intersection traffic lights in the evacuation road network,and design the road intersection traffic indication.A two.layer optimization model for lamp timing adjustment.Finally,taking the road traffic network around the Guoxin Gymnasium in Qingdao as the research demonstration area,using the two.way optimization model of traffic deconstruction,from the two aspects of traffic organization optimization and regional signal control strategy,optimize the traffic flow and improve the evacuation ability of the road network.The reliability of the model was verified.