Discover the road sequences of bus lines using bus stop information and historical bus locations

Discovering the road sequences traveled by the bus lines is of great importance for public transport management, such as bus journey time prediction and multimodal travel route recommendation, as the road sequence provides important information on roadway characteristics such as the number of inters...

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Main Authors: Ying Zhou, Guiyuan Jiang, Guifeng Jiang
Format: Article
Language:English
Published: SAGE Publishing 2019-02-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147719830552
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spelling doaj-748d98aba86541bda7ec87d79a6b297a2020-11-25T03:28:29ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772019-02-011510.1177/1550147719830552Discover the road sequences of bus lines using bus stop information and historical bus locationsYing Zhou0Guiyuan Jiang1Guifeng Jiang2School of Mechanical Engineering, Tianjin Polytechnic University, Tianjin, ChinaSchool of Computer Science and Engineering, Nanyang Technological University, SingaporeSchool of Computer Science and Engineering, Nanyang Technological University, SingaporeDiscovering the road sequences traveled by the bus lines is of great importance for public transport management, such as bus journey time prediction and multimodal travel route recommendation, as the road sequence provides important information on roadway characteristics such as the number of intersections and traffic signals, road type, and number of lanes. This article develops methods to discover the covered road sequence for a given bus line, using bus stop information as well as historical bus locations (i.e. locations where buses had appeared in history). To solve the problem, we first construct a high-quality global positioning system (GPS) trajectory and then employ a novel map-matching algorithm to the resultant dense trajectory to obtain the road sequence of the bus line. We focus on constructing high-quality trajectory with dense GPS points by (1) forming an initial bus stop trajectory using ordered bus stop coordinates, (2) identifying sufficient suitable historical bus locations, and (3) inserting the identified bus locations into proper positions of the bus stop trajectory. Our proposed method is evaluated on real-world bus line data involving more than 400 bus services in Singapore.https://doi.org/10.1177/1550147719830552
collection DOAJ
language English
format Article
sources DOAJ
author Ying Zhou
Guiyuan Jiang
Guifeng Jiang
spellingShingle Ying Zhou
Guiyuan Jiang
Guifeng Jiang
Discover the road sequences of bus lines using bus stop information and historical bus locations
International Journal of Distributed Sensor Networks
author_facet Ying Zhou
Guiyuan Jiang
Guifeng Jiang
author_sort Ying Zhou
title Discover the road sequences of bus lines using bus stop information and historical bus locations
title_short Discover the road sequences of bus lines using bus stop information and historical bus locations
title_full Discover the road sequences of bus lines using bus stop information and historical bus locations
title_fullStr Discover the road sequences of bus lines using bus stop information and historical bus locations
title_full_unstemmed Discover the road sequences of bus lines using bus stop information and historical bus locations
title_sort discover the road sequences of bus lines using bus stop information and historical bus locations
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2019-02-01
description Discovering the road sequences traveled by the bus lines is of great importance for public transport management, such as bus journey time prediction and multimodal travel route recommendation, as the road sequence provides important information on roadway characteristics such as the number of intersections and traffic signals, road type, and number of lanes. This article develops methods to discover the covered road sequence for a given bus line, using bus stop information as well as historical bus locations (i.e. locations where buses had appeared in history). To solve the problem, we first construct a high-quality global positioning system (GPS) trajectory and then employ a novel map-matching algorithm to the resultant dense trajectory to obtain the road sequence of the bus line. We focus on constructing high-quality trajectory with dense GPS points by (1) forming an initial bus stop trajectory using ordered bus stop coordinates, (2) identifying sufficient suitable historical bus locations, and (3) inserting the identified bus locations into proper positions of the bus stop trajectory. Our proposed method is evaluated on real-world bus line data involving more than 400 bus services in Singapore.
url https://doi.org/10.1177/1550147719830552
work_keys_str_mv AT yingzhou discovertheroadsequencesofbuslinesusingbusstopinformationandhistoricalbuslocations
AT guiyuanjiang discovertheroadsequencesofbuslinesusingbusstopinformationandhistoricalbuslocations
AT guifengjiang discovertheroadsequencesofbuslinesusingbusstopinformationandhistoricalbuslocations
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