Literature Database Entry

codeca2014traffic


L. Codeca, R. Frank and T. Engel, "Traffic routing in urban environments: The impact of partial information," Proceedings of 17th IEEE International Conference on Intelligent Transportation Systems (ITSC 2014), October 2014, pp. 2511-2516.

Abstract

There are many studies concerning the problem of traffic congestion in cities. One of the best accepted solutions to relieving congestion involves optimization of resources already available, by means of balancing traffic flows to minimize travel delays. To achieve this optimization, it is necessary to collect and process Floating Car Data (FCD) from vehicles. In this paper we evaluate the repercussions of partial information on the overall traffic view, and rate, consequently on the outcome of the optimization. Our study focuses on the role of the user participation and the availability of Road Side Units to collect the FCD. By means of simulation we quantify the impact of partially-available information on the computation of route optimization, and strategies, how it impedes traffic flows. Our results show that even minor uncertainties can significantly impact routing and situation., lead to deterioration in the overall traffic

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L. Codeca
R. Frank
T. Engel

BibTeX reference

@inproceedings{codeca2014traffic,
    author = {Codeca, L. and Frank, R. and Engel, T.},
    title = {{Traffic routing in urban environments: The impact of partial information}},
    booktitle = {17th IEEE International Conference on Intelligent Transportation Systems (ITSC 2014)},
    pages = {2511-2516},
    keywords = {optimisation;road traffic;road vehicles;vehicle routing;FCD;floating car data;optimization;traffic congestion;traffic routing;urban environments;vehicles;Monitoring;Optimization;Protocols;Real-time systems;Routing;Topology;Vehicles},
    year = {2014},
    month = {October},
    publisher = {IEEE},
    doi = {10.1109/ITSC.2014.6958092},
   }
   
   

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