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In order to analyze the delay level of bus stations, two bus station delay estimation methods are proposed from the micro and macro perspectives for typical linear and harbor bus stations. The first is to decompose the bus stop process at a micro level, select bus entry and exit time, passenger boarding time and other delay time as delay parameters according to the different stages of bus stop, analyze the actual survey data to obtain the reference value under the condition of no delay at each stage and calculate delay time at bus stops. The second is to introduce the bus load arrival rate to reflect the actual operation status of the station, analyze the relationship between load arrival rate and delay of the bus station, propose a delay time estimation model and determine that the bus load arrival rate is greater than 20 vehicles/h as the scope of application. Through field survey verification, the results show that the error rate between the results obtained by the two estimation methods and the actual observation data is less than 15%, which is basically in line with the actual situation, can be used to estimate the delay of the bus station and provide theoretical basis for optimizing the layout of bus stops, reducing residents' travel time and improving travel satisfaction [ABSTRACT FROM AUTHOR]

Public transportation is a means of improving the efficiency of urban travel and alleviating urban congestion. To improve the utilization rate of buses, the most direct and effective way to improve the service level of public transportation vehicles is to improve the efficiency of public transportation operations and reduce delays. This paper mainly studies the setting method of bus priority sensing signal, and proposes five situations that the bus may encounter when passing the detector. Then it analyzes the basis of three priority modes in detail, and discusses the location of the induction coil. It can achieve the priority of public transport, and meet the requirements of minimizing the impact on the rest of the social vehicles. Finally, combined with VISSIM, the green light extension model is simulated to verify the validity of the model. The results show that the green light extension can alleviate the congestion at the intersection and improve the traffic efficiency of the intersection. [ABSTRACT FROM AUTHOR]