Tram Timetable Optimization Research Under The Background Of Passenger Flow Demand

In the recent years,China’s urban rail transit has made great progress.The planning and construction of rail transit have attracted more and more attention from all parties.However,the construction of subway has high requirements on urban population,gross production value,and public budget revenue.In the transportation planning and construction of small and medium-sized cities,the choice of suitable rail transit systems is becoming more and more inclined to small and medium-sized rail transit systems,such as trams,which have advantages in safety,ride comfort,investment,and transportation volume.More distinctly,the role and status of trams in the development of medium-sized cities and even metropolitan urban agglomerations has continued to increase.It has become an important measure to break down the obstacles to the development of small and medium-sized transport volumes,and is expected to become the focus of the future development of medium-sized cities in China.This paper takes the tram under the condition of passive priority control as the research object.Aiming at the optimization problem of tram timetable,firstly,the passive signal priority control adopted by the tram is studied,and the intersection signal along the plane crossing of the tram line is assigned.Time plan is optimized.Based on the passive priority strategy,a tram schedule optimization model is constructed,taking into account the fluctuation of stop time directly affected by passenger flow demand,and designing an algorithm to solve the problem.The specific content of this article includes:(1)This paper conducts an in-depth study on the tram signal priority Tram Band model,optimizes the Tram Band model,combines tram operating rules and signal timing optimization technology to establish a tram passive priority control model,so that it can be used in fixed locations.In the case of tram bandwidth,maximize the bandwidth of general vehicles and ensure the smooth running of social vehicles.Through vissim simulation analysis,compared with the traditional Max Band model results,although the average delay of social vehicles in the model results has increased by 12%,because the model only adjusts the offset and phase sequence without changing the period length and phase interval,Therefore,the overall vehicle throughput at each intersection remains unchanged,and the model determines the timing of traffic signals that will not cause unnecessary tram delays and stop at intersections.Because the delay experienced by trams is only the waiting time at the station,the average tram delay has been reduced by 6%,and the average number of stops at the tram station has also been reduced by 32%,effectively reducing tram delays and ensuring the passage of social vehicles.(2)Aiming at the problem of tram timetable optimization under the change of stop time and division due to passenger flow demand,taking tram travel time as the optimization goal,a semi-independent right-of-way tram timetable optimization with passive signal priority is constructed.Model,the model considers the volatility of the armistice caused by the change of passenger flow demand,and designs a genetic algorithm to solve it.Compared with the conventional scheme,this scheme has advantages in tram travel time,energy consumption,delays,and the number of stops at intersections.The model can absorb the fluctuations in the stop time caused by changes in passenger flow by adjusting the operating speed of the section,thereby reducing the track Tram travel time and energy consumption have important reference value and practical application value for operating companies to achieve simultaneous improvement of operating costs and passenger satisfaction.