Travel Behaviour Analysis Of Various Bus Passenger Groups Using Smart Card And GPS Data

In recent years,with the rapid development of urban public transportation in China,the government has heavily invested in infrastructure construction and purchased advanced operating equipment.Intelligent Transportation System not only provides a variety of control management and traffic information service for the public transit system,but also produces a lot of data.For improving the planning and management level of urban public transport system and alleviating urban traffic congestion,it is of importance to mine the information behind the data.Nowadays,due to the rapid development of intelligent bus system and data collection technology,a large number of scholars have begun to use the IC card data collected passively to study travelers' travel behaviors and activities.In terms of exploring residents' travel activities by using data,smart card data has obvious advantages over data obtained from traditional survey methods.In terms of research objects,most studies focus on the overall data of smart card data,but there are few studies on specific groups.Based on this reason,this paper proposes a series of algorithms to identify OD matrixes of various bus passenger groups to analyze the travel behaviors of different groups.In this paper,bus GPS and smart card data are firstly preprocessed.After that,a series of algorithms are proposed to identify the boarding stops,alighting stops and transfer stops to infer the bus passengers' travel chains and OD matrix,and finally to analyze the travel behaviors and bus operation.Finally,the success rate of alighting stop identification for the commuter group,the student group,the disabled group and the elder group is respectively 60.0%,74.9%,72.3%,and 74.0%.Based on boarding behaviors,transfer behaviors and OD trip behaviors,the trip behavior patterns of different bus passenger groups are compared and analyzed,so as to provide basis for planning,management and other policy recommendations,such as the allocation of public facilities and services,advertising,adjustment and optimization of bus scheduling and customized buses.