Road Safety at Intersections Controlled by Traffic Lights - IVC and Risk Indexes

Bruno Dalla Chiara, Francesco Paolo Deflorio, Serena Cuzzola

Abstract

The paper reports the results of safety analyses conceived to assess the effects and benefits which might be generated by the forthcoming use of the infrastructure-to-vehicle (I2V) or vehicle-to-infrastructure (V2I) communication systems at road intersections regulated by traffic lights. Road crossings are often considered as critical areas for the occurrence of accidents, because they increase the likelihood of the event given the confluence of traffic streams from and to different directions. The analyses are aimed at calculating a real-time estimate of some risk indexes of accident, which might be provided on-board when approaching road intersection regulated by traffic lights. This information can then be used by an ADAS for traffic signal approaching. Two typologies of use of the information on the risk indexes can be identified: if data can be detected in real time, the driver could be informed on-board of a potentially hazardous situation using algorithms to predict the trend of the vehicle on the basis of the data detected from the monitoring; another use would be detecting – in case the vehicle were already within the dilemma zone – the lowest risk manoeuvre and sending a message on board to inform the driver.

References

  1. Archer J., 2005. Indicators for traffic safety assessment and prediction and their application in micro - simulation modelling: A study of urban and suburban intersections. Doctoral Thesis; Royal Institute of Technology, Stockholm, Sweden.
  2. Benz T., Gaitanidou E., Spyropoulou I., Yannis G., and Tapani A.,2006. Modelling road traffic safety - The In-Safety approach. In Proceedings of the 13th World Congress and Exhibition on Intelligent Transport Systems and Services, ERTICO, London.
  3. COOPERS project CO-OPerativeSystEms for Intelligent Road Safety - (accessed March 07, 2012) http://www.coopers-ip.eu/index.php?id=project.
  4. CoVeL - Cooperative Vehicle Localization for Efficient Urban Mobility (accessed March 07, 2012) http://www.covel-project.eu/.
  5. CVIS Cooperative Vehicle-Infrastructure Systems (accessed March 07, 2012) http://www.cvisproject.org/.
  6. Dalla Chiara B., Deflorio F. P., Diwan S., Assessing the effects of inter-vehicle communication systems on road safety, IET Intelligent Transport Systems, June 2009, IET Intell. Transp. Syst., 2009, Vol. 3, Iss. 2, pp. 225-235, doi: 10.1049/iet-its:20080059.
  7. Day C. M., Premachandra H., Brennan T. M., Sturdevant J. R., Bullock D. M., Operational Evaluation of Wireless Magnetometer Vehicle Detectors at Signalized Intersection, Transportation Research Record 2192.
  8. FHWA (2006). Traffic Detector Handbook: Third Edition Chapter 4. http://www.fhwa.dot.gov (accessed March 07, 2012).
  9. FOTsis - European Field Operational Test on Safe, Intelligent and Sustainable Road Operation (accessed March 07, 2012) http://www.fotsis.com/.
  10. Gettman D. & Pu L., 2006. Theoretical validation of Surrogate Safety Assessment Methodology for roundabouts and cross intersections. In Proceedings of the 13th World Congress and Exhibition on Intelligent Transport Systems and Services, London.
  11. Hurwitz, D. S., 2009. Application of Driver Behavior and Comprehension to Dilemma Zone Definition and Evaluation. Open Access Dissertations. Paper 112, University of Massachusetts.
  12. INTERSAFE-2 - Cooperative Intersection Safety (accessed March 07, 2012) http://www.intersafe2.eu/public/
  13. Johansson G., Rumar K., 1971. Driver's brake reaction times. Human Factors, 13(1), pp. 23-27
  14. Ki-Joon K., Jaehoon S., 2009. Development of Intersection Traffic Accident Risk Assessment Model - Application of Micro-simulation Model with SSAM to Sungnam City. In IRTAD CONFERENCE, Seoul, Korea.
  15. Klunder G., Abdoelbasier A., Immers B., 2006. Development of a micro-simulation model to predict road traffic safety on intersections with surrogate safety measures. In Proceedings of the 13th World Congress and Exhibition on Intelligent Transport Systems and Services, London.
  16. Liu C., Herman R. and Gazis D.C., 1996. A review of the yellow interval dilemma, Transportation Research Part A: Policy and Practice, 1996, vol. 30, issue 5, pages 333-348.
  17. MacNeill, P. Miller, R., 2003. A new technology for a cruise control system A new technology for a cruise control system. IEEE Vehicle Technology Conference
  18. Maile M., Delgrossi L., 2009. Cooperative intersection collision avoidance system for violations (CICAS-V) for avoidance of violation-based intersection crashes. Enhanced Safety of Vehicles.
  19. Monteil J., Billot R., El Faouzi N. E., 2011. Towards cooperative traffic management: methodological issues and perspectives. In Australasian Transport Research Forum 2011 Proceedings, 28 - 30 September 2011, Adelaide, Australia.
  20. Morsink P. L. J., Wismans L. J. J., Dijkstra A., 2008. Micro-simulation for road safety impact assessment of advanced driver assistance systems. InEuropean ITS Congress, Geneva.
  21. Rausand M., Risk Assessment, 2011. Theory, Methods, and Applications, Norwegian Univ. of Science and Technology, ISBN: 978-0-470-63764-7, September 2011.
  22. SAFESPOT Integrated Project (accessed March 07, 2012) http://www.safespot-eu.org/.
  23. Tapani A., 2009. Traffic simulation modelling of driver assistance systems. In 16th World congress on ITS.
  24. Torday A., Baumann D., Dumont A. G., 2003. Road safety assessment using micro simulation based indicators. Proc. of the ITS World Congress, Madrid.
  25. U.S. Department of Transportation Federal Highway Administration,2009.Surrogate Safety Assessment Model (SSAM).
  26. U.S. Department of Transportation, Cooperative Intersection Collision Avoidance System Limited to Stop Sign and Traffic Signal Violations (CICAS-V), Task 8 Final Report, Prototype Build and Testing, (Appendix F), June 24, 2008, August 29, 2008.
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Paper Citation


in Harvard Style

Dalla Chiara B., Deflorio F. and Cuzzola S. (2012). Road Safety at Intersections Controlled by Traffic Lights - IVC and Risk Indexes . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: IVC&ITS, (ICINCO 2012) ISBN 978-989-8565-22-8, pages 569-577. DOI: 10.5220/0004165105690577


in Bibtex Style

@conference{ivc&its12,
author={Bruno Dalla Chiara and Francesco Paolo Deflorio and Serena Cuzzola},
title={Road Safety at Intersections Controlled by Traffic Lights - IVC and Risk Indexes},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: IVC&ITS, (ICINCO 2012)},
year={2012},
pages={569-577},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004165105690577},
isbn={978-989-8565-22-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: IVC&ITS, (ICINCO 2012)
TI - Road Safety at Intersections Controlled by Traffic Lights - IVC and Risk Indexes
SN - 978-989-8565-22-8
AU - Dalla Chiara B.
AU - Deflorio F.
AU - Cuzzola S.
PY - 2012
SP - 569
EP - 577
DO - 10.5220/0004165105690577