Collisions in freeway traffic

Transportation Research Record

Volumn , Issue 2396, 2013, Pages 1-9

  Li, Zhibin ^a   Chung, Koohong ^b   Cassidy, Michael ^a  

^a SOUTHEAST UNIVERSITY   (China)

^b CALIFORNIA DEPARTMENT OF TRANSPORTATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; QUEUEING THEORY;

CALIFORNIA; CHANGING LANES; COLLISION RISKS; CONTROL LOGIC; FREEWAY STRETCHES; FREEWAY TRAFFIC; PHYSICAL PROXIMITY; SIMPLE++; TRAFFIC COLLISIONS; VEHICLE APPROACHES;

VEHICLES;

EID: 84897086101     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2396-01     Document Type: Article

References (25)

1. Abdel-Aty, M., N. Uddin, A. Pande, M. F. Abdalla, and L. Hsia. Predicting Freeway Crashes from Loop Detector Data by Matched Case-Control Logistic Regression. In Transportation Research Record: Journal of the Transportation Research Board, No. 1897, Transportation Research Board of the National Academies, Washington, D. C., 2004, pp. 88-95.
2. Abdel-Aty, M., N. Uddin, and A. Pande. Split Models for Predicting Multivehicle Crashes During High-Speed and Low-Speed Operating Conditions on Freeways. In Transportation Research Record: Journal of the Transportation Research Board, No. 1908, Transportation Research Board of the National Academies, Washington, D. C., 2005, pp. 51-58.
3. Abdel-Aty, M., and A. Pande. Comprehensive Analysis of the Relationship Between Real-Time Traffic Surveillance Data and Rear-End Crashes on Freeways. In Transportation Research Record: Journal of the Transportation Research Board, No. 1953, Transportation Research Board of the National Academies, Washington, D. C., 2006, pp. 31-40.
4. Lee, C., F. Saccomanno, and B. Hellinga. Analysis of Crash Precursors on Instrumented Freeways. In Transportation Research Record: Journal of the Transportation Research Board, No. 1784, Transportation Research Board of the National Academies, Washington, D. C., 2002, pp. 1-8.
5. Lee, C., B. Hellinga, and F. Saccomanno. Real-Time-Crash Prediction Model for Application to Crash Prevention in Freeway Traffic. In Transportation Research Record: Journal of the Transportation Research Board, No. 1840, Transportation Research Board of the National Academies, Washington, D. C., 2003, pp. 67-77.
6. Zheng, Z. D., S. Ahn, and C. M. Monsere. Impact of Traffic Oscillations on Freeway Crash Occurrences. Accident Analysis and Prevention, Vol. 42, No. 2, 2010, pp. 626-636.
7. Yeo, H., K. Jang, and A. Skabardonis. Impact of Traffic States on Freeway Collision Frequency. Presented at 89th Annual Meeting of the Transportation Research Board, Washington, D. C., 2010.
8. Xu, C., P. Liu, W. Wang, and Z. Li. Evaluation of the Impacts of Traffic States on Crash Risks on Freeways. Accident Analysis and Prevention, Vol. 47, No. 1, 2012, pp. 162-171.
9. Chung, K., K. Jang, S. Oum, Y. H. Kim, and K. H. Song. Investigation of Attributes of Kinematic Waves Preceding Traffic Collisions. Presented at 90th Annual Meeting of the Transportation Research Board, Washington, D. C., 2011.
10. Li, Z., K. Chung, P. Liu, W. Wang, and D. R. Ragland. Surrogate Safety Measure for Evaluating Rear-End Collision Risk near Recurrent Bottlenecks. Presented at 91st Annual Meeting of the Transportation Research Board, Washington, D. C., 2012.
11. Richards, D., and R. Cuerden. The Relationship Between Speed and Car Driver Injury Severity. Road Safety Web Publication 9, Department for Transport, London, 2009.
12. Sobhani, A., W. Yong, D. Logan, and S. Bahrololoom. A Kinetic Energy Model of Two-Vehicle Crash Injury Severity. Accident Analysis and Prevention, Vol. 43, No. 3, 2011, pp. 741-754.
13. Oh, C., S. Park, and S. G. Ritchie. A Method for Identifying Rear-End Collision Risks Using Inductive Loop Detectors. Accident Analysis and Prevention, Vol. 38, No. 2, 2006, pp. 295-301.
14. Cassidy, M. J., and M. Mauch. An Observed Traffic Pattern in Long Freeway Queues. Transportation Research Part A, Vol. 35, No. 2, 2001, pp. 143-156.
15. Cassidy, M. J., and R. L. Bertini. Some Traffic Features of Freeway Bottlenecks. Transportation Research Part B, Vol. 33, 1999, pp. 25-42.
16. Muñoz, J. C., and C. F. Daganzo. Fingerprinting Traffic from Static Freeway Sensors. Cooperative Transportation Dynamics, Vol. 1, 2002, pp. 1-11.
17. Menendez, M., and C. Daganzo. Assessment of the Impact of Incidents near Bottlenecks: Strategies to Reduce Delays. In Transportation Research Record: Journal of the Transportation Research Board, No. 1867, Transportation Research Board of the National Academies, Washington, D. C., 2004, pp. 53-59.
18. Smirnov, N. V. Tables for Estimating the Goodness of Fit of Empirical Distributions. The Annals of Mathematical Statistics, Vol. 19, No. 2, 1948, pp. 279-281.
19. Smirnov, N. V. On the Estimation of the Discrepancy Between Empirical Curves of Distribution for Two Independent Samples. Bulletin of Moscow University, Vol. 2, 1939, pp. 3-16.
20. Allaby, P., B. Hellinga, and M. Bullock. Variable Speed Limits: Safety and Operational Impacts of a Candidate Control Strategy for Freeway Applications. IEEE Transactions on Intelligent Transportation Systems, Vol. 8, No. 4, 2007, pp. 671-680.
21. Ang, A. H. S., and W. H. Tang. Probability Concepts in Engineering Planning and Design, Vol. 1-Basic Principles. John Wiley & Sons, Inc., New York, 1975.
22. Anush, N. I-80 Integrated Corridor Mobility (ICM) Project. Presented at 2nd International Symposium on Freeway and Tollway Operations, Honolulu, Hawaii, 2009.
23. DKS Associates. Interstate 80 Integrated Corridor Mobility Project-Systems Engineering Management Plan, Nov. 30, 2010. http://www.dot.ca. gov/dist4/systemplanning/docs/csmp/i-80-w-csmp-final-full-doc.pdf.
24. Lin, W. H., and C. F. Daganzo. A Simple Detection Scheme for Delays-Inducing Freeway Incidents. Transportation Research Part A, Vol. 31, 1997, pp. 141-155.
25. Yeo, H., S. E. Shladover, H. Krishnan, and A. Skabardonis. Microscopic Traffic Simulation of Vehicle-to-Vehicle Hazard Alerts on Freeway. In Transportation Research Record: Journal of the Transportation Research Board, No. 2189, Transportation Research Board of the National Academies, Washington, D. C., 2010, pp. 68-77.