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Real-time urban traffic information extraction from GPS tracking of a bus fleet

Publication ,  Conference
Denaxas, E; Mpollas, S; Vitsios, D; Zolotas, C; Bleris, DG; Spanos, GM; Pitsianis, NP
Published in: Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
October 28, 2013

We present a novel system named Speed-O to estimate in real time the average speed of traffic on every section of urban roads in the city of Thessaloniki, Greece. Speed-O processes the telemetry data reported by the fleet of more than 600 public transportation buses. The system is solving for the mean speed at different temporal and spatial scales much finer than the raw telemetry data. Speed-O is comprised of a large and sparse model of the road system, the bus routes, and the fleet dynamics together with a fast solver that renders the model solution. The solver is multi-layer and iterative. It exploits the physical properties of the problem to operate efficiently in realtime on a multicore processor. We demonstrate the Speed-O system using the Google Maps API as an interactive map that refreshes every minute with the average speed displayed as color-coded road sections. © 2013 IEEE.

Duke Scholars

Published In

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

DOI

ISBN

9781467359139

Publication Date

October 28, 2013

Start / End Page

58 / 63
 

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Denaxas, E., Mpollas, S., Vitsios, D., Zolotas, C., Bleris, D. G., Spanos, G. M., & Pitsianis, N. P. (2013). Real-time urban traffic information extraction from GPS tracking of a bus fleet. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 (pp. 58–63). https://doi.org/10.1109/CIVTS.2013.6612290
Denaxas, E., S. Mpollas, D. Vitsios, C. Zolotas, D. G. Bleris, G. M. Spanos, and N. P. Pitsianis. “Real-time urban traffic information extraction from GPS tracking of a bus fleet.” In Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, 58–63, 2013. https://doi.org/10.1109/CIVTS.2013.6612290.
Denaxas E, Mpollas S, Vitsios D, Zolotas C, Bleris DG, Spanos GM, et al. Real-time urban traffic information extraction from GPS tracking of a bus fleet. In: Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. 2013. p. 58–63.
Denaxas, E., et al. “Real-time urban traffic information extraction from GPS tracking of a bus fleet.” Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, 2013, pp. 58–63. Scopus, doi:10.1109/CIVTS.2013.6612290.
Denaxas E, Mpollas S, Vitsios D, Zolotas C, Bleris DG, Spanos GM, Pitsianis NP. Real-time urban traffic information extraction from GPS tracking of a bus fleet. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. 2013. p. 58–63.

Published In

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

DOI

ISBN

9781467359139

Publication Date

October 28, 2013

Start / End Page

58 / 63