An Empirical Study On The Poa Of Beijing Road Traffic Within The Second Ring Road

Traffic congestion problem is a disturbing puzzle for Beijing right now.Recent decades,the amount of the registered vehicles grows explosively.It makes the daily annoying jams becoming more visible and severe than ever.The economic loss caused by congestion is beyond 800 billion RMB that accounts for about 3.1%of the annual GDP of Beijing.Therefore,dealing with this problem has been an imminent business.Non-atomic Congestion Games(NCG)is a standard static traffic model.It can portray the roads condition for rush hours.The purpose of this dissertation is to compute the price of anarchy(PoA)of Beijing traffic within the Second Ring Road and based on this to provide suggestions for the current traffic performance.PoA is the key value to measure the invalidity of traveler selfish route selection.It is also a criterion for judging the rationality of the autonomous path choice for travelers.In this thesis,the GPS data will be used to calculate the total cost of system optimal and user equilibrium flow within the Second Ring Road of Beijing,and get the corresponding PoA further.In numerical experiments,we use the CMCF software developed by the Berlin University of Technology to compute the corresponding costs.In order to evidently present the dynamic changes of PoA,we further extract a variety of proportions of GPS travel data within the Second Ring Road,and calculate the corresponding PoA value for each fraction.The experimental results show that the traffic volume within that area is far more saturated,and PoA has converged around 3%of the current traffic demand quantity.At the same time,the research in this paper also presents that under the existing circumstances,if there is no significant reduction in traffic volume,any traffic inducing measures cannot improve traffic efficiency.