TY - GEN
T1 - On the feasibility of using public transport as data mules for traffic monitoring
AU - Lan, Kun Chan
AU - Wu, Ze Ming
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - A broad range of diverse technologies, known collectively as intelligent transportation systems (ITS), holds the answer to many of our transportation problems. ITS provides the intelligent link between travellers, vehicles, and infrastructure. In this paper, we study the feasibility of an architecture that involves deploying mobile gateways on a selected subset of public transport vehicles for one particular ITS application: traffic monitoring. We assume that all buses, bus stops and traffic lights are equipped with a wireless device to communicate with in-range neighbours (e.g. other buses). In our analysis, we use realistic movement patterns of public transport buses in a metropolitan city. Our results suggest that it is feasible to use such an architecture with existing radio technologies for traffic monitoring applications.
AB - A broad range of diverse technologies, known collectively as intelligent transportation systems (ITS), holds the answer to many of our transportation problems. ITS provides the intelligent link between travellers, vehicles, and infrastructure. In this paper, we study the feasibility of an architecture that involves deploying mobile gateways on a selected subset of public transport vehicles for one particular ITS application: traffic monitoring. We assume that all buses, bus stops and traffic lights are equipped with a wireless device to communicate with in-range neighbours (e.g. other buses). In our analysis, we use realistic movement patterns of public transport buses in a metropolitan city. Our results suggest that it is feasible to use such an architecture with existing radio technologies for traffic monitoring applications.
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U2 - 10.1109/IVS.2008.4621154
DO - 10.1109/IVS.2008.4621154
M3 - Conference contribution
AN - SCOPUS:57749183616
SN - 9781424425693
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 979
EP - 984
BT - 2008 IEEE Intelligent Vehicles Symposium, IV
T2 - 2008 IEEE Intelligent Vehicles Symposium, IV
Y2 - 4 June 2008 through 6 June 2008
ER -