Abstract
With the rapid development of the subway, more and more people choose it as the main method of transportation. However, practically, the large number of pedestrians near some large metro stations can also correspondingly affect the traffic of motor vehicles on the roads adjacent to the stations. In this study, coordinated control of the traffic signal which considers the pedestrian crossing delay is studied based on this background. Firstly, the model of progression band in adjacent intersections is analyzed comprehensively, and the calculation formulas of progression bandwidth and the delay of vehicles which are from the progression of traffic flow under different conditions are given. Secondly, five different models of pedestrian delay are analyzed. Under different conditions of motor vehicle and pedestrian traffic flow, the Vissim fitting and proofreading are carried out and the optimal models under different conditions are obtained. Finally, the bilevel programming problem which fuses the above two models is determined; by coding an algorithm, it can be resolved. Furthermore, taking eight signalized intersections from Jiming Temple to Daxinggong along Nanjing Metro Line 3 as the actual background, the calculation and optimization of coordinated control are carried out. It is found that at the expense of the traffic efficiency of large intersections to a certain extent, a wider progression band can be formulated on the roads between them, and pedestrian delays can be reduced in general.
Highlights
Erefore, it is important to coordinate the signals at the intersections around the subway stations where congestion is increasing and traffic demand is in expansion [9]. e project will use microsimulation as a research tool to analyze the main factors that need to be considered in the coordinated control of traffic signals. e time-space conflict between the vehicle and its influence on the coordinated Journal of Advanced Transportation control of the signals proposes a traffic signal control method that is conducive to subway passengers’ travel [10, 11]
In terms of coordinated control of signals, as early as the 1970s, there was a MAXBAND model for coordinated control of artery roads [12]. e concept of a progression band was proposed. e two-way progression bandwidth was taken as the objective function, and the maximum objective function model was used, combining mixed integer linear programming. en there is the MULTIBAND model [13, 14], which is based on different traffic requirements on different road sections, and the corresponding bandwidth is calculated to get the best coordination effect
E specific process of this chapter is as follows: firstly, we introduce several pedestrian delay models, analyze their advantages and disadvantages, applicable conditions, and use Vissim microsimulation to obtain three cases of motor vehicles through cluster analysis, simulating pedestrian flow from less to more. en the simulation results are compared with the calculation results, and the errors are calculated to determine the adaptability of each model under different flow rates, which lays a theoretical foundation for the actual analysis of pedestrian flow
Summary
Taking Nanjing as an example, in recent years, the growth of urban motor vehicles has been obvious. e main artery roads of many cities are in near-saturated state all the year round. is has brought great negative impacts on our traveling, which affects the efficiency of work, and causes people emotional dissatisfaction, so it is an important mission of our traffic workers to improve traffic capacity and maximize traffic efficiency within a limited road space [1, 2]. E project will use microsimulation as a research tool to analyze the main factors that need to be considered in the coordinated control of traffic signals. Signal coordination control has increasingly favored the use of vehicle-coordinated data, and they have attempted to combine all of the above factors, including weighing the delays of various passers-by, taking into account various priority strategies. Tan realized vehicle information interaction through AVL (Automated Vehicle Location) or APC (Automated Passenger Counter) [23] Such systems are limited to two connected main road intersections (not more), and there are more problems with multiple bus lines and multiple priority control strategies [11]. By collecting a large amount of data, the model of a different motor vehicle and pedestrian flow delays is obtained.
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