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A real‐time bus‐subway transfer scheme recommendation systems
Author(s) -
Zhang Jun,
Tu Lai,
Zhang Fan,
Huang Benxiong,
Liu Jin
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4640
Subject(s) - public transport , global positioning system , real time data , service (business) , transfer (computing) , transport engineering , computer science , scheme (mathematics) , travel time , arrival time , scalability , real time computing , automatic vehicle location , operations research , telecommunications , engineering , database , business , world wide web , mathematical analysis , mathematics , marketing , parallel computing
Summary Bus and subway service is an important public transportation. Besides the major goal of carrying passengers around, providing accurate and reliable travel information for passengers is also an important business consideration. The route and its traveling time can directly affect the number of people choosing the line. Traditional approaches to obtain route and its traveling time rely on historical experience, which are both non‐scalable and incomplete. The wide adoptions of On Board Units (OBUs) in public transportation provide new opportunities. In this paper, we associate bus GPS data with station locations to derive the traveling time between two stations and make a short forecast. To our best knowledge, this is the first paper that utilizes real‐time bus GPS data and subway arrival station data to design route and give its traveling time for a passenger.