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Development of a Map-Matching Algorithm for Rural Passenger Information Systems through Mobile Phones and Crowd Sourcing

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Title Development of a Map-Matching Algorithm for Rural Passenger Information Systems through Mobile Phones and Crowd Sourcing
 
Creator VELAGA, NR
NELSON, JD
EDWARDS, P
CORSAR, D
SRIPADA, S
SHARMA, N
BEECROFT, M
 
Subject Geographic information systems
Fuzzy sets
Public transportation
Rural areas
Algorithms
Passengers
United Kingdom
Information management
Map-matching
GPS
Passenger information
Crowd sourcing
Fuzzy logic
OF-THE-ART
FUZZY RULES
TRANSPORT
PERFORMANCE
PREDICTION
NAVIGATION
NETWORKS
 
Description In this research, a passenger-centric passenger information system is proposed, which uses crowd sourcing and mobile phones so that passengers are not only information consumers but are also providers of information to the system. Passengers can allow the system to track their location through their smart phones when they are traveling on public transportation; this will compensate for the lack of a vehicle tracking system in public transportation, particularly in nonurban areas. Map-matching (MM) algorithms integrate location data (i.e.,latitude and longitude) obtained from positioning sensors (in this case, mobile GPS) with a digital geographic information system (GIS) road map. Any map-matching algorithm first identifies the road link on which a vehicle is traveling and then determines the vehicle's location on that road segment. In the proposed information system, at a given point of time, a number of vehicle locations (latitude and longitude) are received from passengers traveling on a bus. In order to provide a precise vehicle location at a given point of time, a novel map-matching algorithm using fuzzy logic, which integrates multiple vehicle locations (obtained from passenger's smart phones) with a GIS road map, has been developed. The developed map-matching algorithm was tested using real-world data collected on four different bus routes in Aberdeenshire, Scotland, and also GPS data collected in and around Nottingham, United Kingdom. It was identified that the developed MM algorithm is efficient and capable of supporting the proposed passenger information system. (C) 2013 American Society of Civil Engineers.
 
Publisher ASCE-AMER SOC CIVIL ENGINEERS
 
Date 2014-10-14T13:09:01Z
2014-10-14T13:09:01Z
2013
 
Type Article
 
Identifier JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 27(6)732-742
0887-3801
1943-5487
http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000238
http://dspace.library.iitb.ac.in/jspui/handle/100/14483
 
Language en