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在一个多起始单终点的交通网络上,本文研究当终点处停车空间不足时,如何通过在路段瓶颈处实施拥挤收费实现系统最优.首先,根据小汽车和公交的出行成本函数,运用凸规划算法求解系统最优条件下网络中各OD最优的小汽车和公交出行量.其次,根据系统最优时的小汽车出行量,计算出为了消除交通瓶颈处车辆排队而实施的动态拥挤收费.再次,根据小汽车和公交车出行成本的均衡条件,计算出各OD对每辆小汽车出行者应缴纳的停车拥挤附加费(或应获取的补贴),收取该费用(或发放补贴)的目的是调节小汽车和公交的出行量使它们在双模式均衡(小汽车与公交车出行模式均衡)条件下分别达到系统最优水平.最后,算例分析了两组OD对的情况,计算出两种泊位供应量下各OD对小汽车最优出行量与小汽车出行的停车拥挤附加费或补贴,并且给出了动态拥挤收费与道路收费的函数曲线.
In a multi-start and single terminal traffic network, this paper studies how to implement system optimization by implementing congestion charging at the bottleneck of the road section when there is not enough parking space at the terminal.First, according to the travel cost function of cars and buses, Planning algorithm is used to solve the optimal OD car and bus traffic volume in the network under the optimal system conditions.Secondly, according to the optimal traffic volume of the car, the dynamic congestion charge to eliminate queuing at traffic bottleneck is calculated Thirdly, according to the equilibrium conditions of car and bus travel costs, calculate the parking congestion surcharge (or the allowable subsidy) to be paid by each OD for each car traveler, and charge the subsidy (or subsidy) The purpose is to adjust the travel volume of cars and public buses so that they reach the system optimal level under the dual-mode equilibrium (car and bus travel mode equilibrium) respectively.Finally, an example is given to analyze the OD pairs of two groups and calculate The two kinds of berths supply each OD on the car’s optimal travel and car travel parking congestion surcharges or subsidies, and gives the dynamic congestion charges and road charges Logarithmic curve.