Destination Estimation for Bus Passengers Based on Data Fusion

Liu Wusheng; Tan Qian; Liu Lisheng

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Destination Estimation for Bus Passengers Based on Data Fusion

机译：Destination Estimation for Bus Passengers Based on Data Fusion

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The planning and operation of urban buses depend heavily on the time-varying origin-destination (OD) matrix for bus passengers. In most cities, however, only boarding information is recorded, while the alighting information is not available. This paper proposes a novel method to predict the destination of a single bus passenger based on bus smartcard data, metro smartcard data, and global positioning system (GPS) bus data. First, the attractiveness of each bus stop in a bus line was evaluated, considering the attractiveness of nearby metro stations. Then, the exploration and preferential return (EPR) model was employed to estimate the probability of a bus stop to be the alighting stop, i.e., the destination, of a passenger. The estimation result was obtained through a simulation based on the Monte Carlo (MC) algorithm. The effectiveness of our method was proved through a case study on the bus network in Shenzhen, China.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2020年第33期|8305475.1-8305475.10|共10页
作者
Liu Wusheng; Tan Qian; Liu Lisheng;
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作者单位

Changsha Univ Sci & Technol, Minist Educ, Engn Res Ctr Catastroph Prophylaxis & Treatment R, Changsha 410114, Peoples R China;

Cent South Univ, Sch Traff & Transportat Engn, Changsha 410075, Peoples R China;

Wuchang Inst Technol, Sch Urban Construct, Wuhan 430223, Peoples R China;

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Destination Estimation for Bus Passengers Based on Data Fusion

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