T. Morenz and R. Meier ‘An Estimation-based Automatic Vehicle Location System for Public Transport Vehicles’ in proceedings of the The 11th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2008), Beijing, China, IEEE Computer Society Press, 2008, pp 850 - 856
Public transport vehicles often share a road
network with other road users making their journeys
susceptive to changing road conditions and especially to
congestion. Travelers using such public transport increasingly
depend on real-time information to plan their journeys. While
such information can be provided by Automatic Vehicle
Location (AVL) systems, AVLs depend heavily on large-scale
deployment of designated sensory equipment, which may
prevent their pervasive adoption. This paper presents a system
for estimating vehicle location based on information generated
by data sources typically integrated within existing ITS
platforms. This enables location estimation for public transport
vehicles without the need for deploying a designated sensor
infrastructure in each vehicle, thereby reducing deployment
and maintenance cost significantly. A prototypical vehicle
location estimation system has been realized as part of and
using data provided by the iTransIT ITS framework. Initial
evaluation results show that such a system is feasible in a
distributed manner and that estimated results are within 20%
compared to empirical data.
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