Design Of Real-Time-Queue-Guiding System For Multi-berth Bus Stop And Study On Stop Capacity

Public transit priority is the trend of urban transit development, and is the preferred measure to solve city traffic problems. Bus is the foundation of urban transit system, and has the characteristics of investment saving, flexible operation, wide coverage and strong applicability. As the control node of transit planning, Bus stop is also the most basic traffic bottleneck. For multi-berth bus station, rational design of traffic organization basing on the intelligent transportation technology and corresponding method for calculating stop capacity have strong guiding significance in designing bus stop platform size and line capacity.Based on the analysis of vehicles stop process in multi-berth bus station, this paper parsed the mechanism and effect of main factors influencing the capacity of bus stop, which proved that the vehicle delay is the direct factor influencing the capacity of bus stop; and then designed a real-time-queue-guiding system for the multi-berth bus station, which aims at improving the traffic organization, reducing vehicle delay and increasing the bus capacity in the station. The sustem consists of platform-Real-time-intelligent-guiding, bus-real-time-pointing-parking and passenger-real-time-pointing-queuing. A clear system connotation, system target, system structure and realization process was proposed in the paper.After analyzing bus dwelling feature in the real-time-pointing-parking bus station, the paper explained the definition of the average berth delay, and then gives the probability distribution model to the length of bus team calculation method of the long delay and the corresponding delay of each kind of bus team with differient length.Finally the papei brought forward calculation method for the station capacity under the system above:the team-through method.At the end of the paper, the writer collected data of Chengdu bus station, and then calibrated the parameters in the capacity model and analyzed the effect of the real-time-queue-guiding system on improving multi-berth bus station capacity.