NDLI: The prediction of bus arrival time using global positioning system data and dynamic traffic information

Content Provider	IEEE Xplore Digital Library
Author	Tongyu Zhu Fajin Ma Tao Ma Congcong Li
Copyright Year	2011
Description	Author affiliation: State Key Laboratory of Software Development Environment, Beihang University, Beijing, China (Tongyu Zhu; Fajin Ma; Tao Ma; Congcong Li)
Abstract	As more and more vehicles are being introduced into the urban streets every year, congestion has become a serious problem in the context of urban transport around the world. A desirable strategy to deal with such issues is to shift more people from personal vehicles to public transport by providing better service (comfort, convenience and so on). Travel time information is a vital component of many intelligent transportation systems (ITS) applications. In this context, advanced public transportation systems (APTS) are one of the most important ITS applications, which can significantly improve the traffic situation in Beijing. One such application will be to provide accurate information about bus arrivals to passengers, leading to reduced waiting times at bus stops. Travel time prediction has been a well-renowned topic of research for years. However, studies which were model based and incorporating dwell times at bus stops and also delay time at signalized intersection explicitly are limited. The present study tries to explicitly incorporate the bus stop delays and signalized intersection delays associated with the total travel times of the buses. This will help in obtaining a reliable algorithm which can be adopted for bus arrival time prediction.
Starting Page	1
Ending Page	5
File Size	691509
Page Count	5
File Format	PDF
ISBN	9781457711923
e-ISBN	9781457711930
e-ISBN	9781457711916
DOI	10.1109/WMNC.2011.6097232
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-26
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Bus arrival time prediction Predictive models Data models GPS data Dynamic traffic information Delay Global Positioning System Vehicles
Content Type	Text
Resource Type	Article

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