Average Speed Estimation for Road Networks based on GPS Raw Trajectories

Ivanildo Barbosa, Marco Antonio Casanova, Chiara Renso, José Antônio Fernandes de Macedo

2013

Abstract

For applications involving displacements around cities, planners cannot count on moving at the legal speed limits. Indeed, the amount of circulating vehicles decreases the average speed and consequently increases the estimated time for daily trips. On the other hand, the number of available trajectories generated by GPS devices is growing. This paper presents a methodology to compute statistics about a road network based on GPS-tracked points, generated by vehicles moving around a city. The proposed methodology allows selecting the most representative data to describe how speeds are distributed along the days of week as well as along the time of the day. The results obtained may be used as an alternative to the shortest-path routing criterion for route planning.

References

  1. Albuquerque, F. C., Barbosa, I., Casanova, M. A., de Carvalho, M. T. M., de Macedo, J. A. F., 2012. Proactive monitoring of moving objects. In ICEIS'12, 14th International Conference on Enterprise Information Systems (ICEIS).
  2. Brakatsoulas, S., Pfoser, D., Salas, R., Wenk, C. 2005. On map-matching vehicle tracking data. In VLDB'05, 31st international conference on Very large data bases.
  3. Biagioni, J.; Gerlich, T.; Merrifield, T.; Eriksson, J. 2011. EasyTracker: Automatic Transit Tracking , Mapping , and Arrival Time Prediction Using Smartphones. In 9th ACM Conference on Embedded Networked Sensor Systems, Pages 68-81.
  4. Lou, Y., Zhang, C., Zheng, C., Xie, X. Wang, W., Huang, Y. 2009. Map-matching for low-sampling-rate GPS trajectories. In 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.
  5. Masiero, L., Casanova, M.A., Carvalho, M.T.M. 2011. Travel Time Prediction using Machine Learning. In IWCTS'11, 4th ACM SIGSPATIAL International Workshop on Computational Transportation Science.
  6. Min, W., and Wynter, L. 2011.Real-time road traffic prediction with spatio-temporal correlations. In: Transportation Research Part C: Emerging Technologies 19.4: 606-616.
  7. Pang, L. X., Chawla, S. Liu, W., Zheng, Y. 2011. On Mining Anomalous Patterns in Road Traffic Streams. In 7th International Conference on Advanced Data Mining and Applications.
  8. Sinn, M.; Yoon J. W.; Calabrese , F. 2012. Predicting arrival times of buses using real-time GPS measurements, In 15th IEEE Intelligent Transportation Systems Conference.
  9. Yuan, J.; Zheng, Y.; Xie, X.; Sun, G. 2011. T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence, In IEEE Transactions on Knowledge and Data Engineering, vol. PP, no.99.
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Paper Citation


in Harvard Style

Barbosa I., Antonio Casanova M., Renso C. and Antônio Fernandes de Macedo J. (2013). Average Speed Estimation for Road Networks based on GPS Raw Trajectories . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 490-497. DOI: 10.5220/0004450904900497


in Bibtex Style

@conference{iceis13,
author={Ivanildo Barbosa and Marco Antonio Casanova and Chiara Renso and José Antônio Fernandes de Macedo},
title={Average Speed Estimation for Road Networks based on GPS Raw Trajectories},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={490-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004450904900497},
isbn={978-989-8565-59-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Average Speed Estimation for Road Networks based on GPS Raw Trajectories
SN - 978-989-8565-59-4
AU - Barbosa I.
AU - Antonio Casanova M.
AU - Renso C.
AU - Antônio Fernandes de Macedo J.
PY - 2013
SP - 490
EP - 497
DO - 10.5220/0004450904900497