Accelerated incident detection and verification: A benefit to cost analysis of traffic cameras

Journal of Intelligent Transportation Systems: Technology, Planning, and Operations

Volumn 11, Issue 4, 2007, Pages 191-203

  Fries, Ryan ^a   Chowdhury, Mashrur ^a   Ma, Yongchang ^a  

^a CLEMSON UNIVERSITY   (United States)

Author keywords

Incident detection; Incident verification; PARAMICS; Simulation; Traffic cameras

Indexed keywords

CAMERAS; COMPUTER PROGRAMMING; COMPUTER SIMULATION; COST BENEFIT ANALYSIS; INTERFACES (COMPUTER);

COST-RELATED PARAMETERS; INCIDENT DETECTION; INCIDENT VERIFICATION; TRAFFIC CAMERAS;

HIGHWAY TRAFFIC CONTROL;

EID: 35648960391     PISSN: 15472450     EISSN: 15472442     Source Type: Journal    
DOI: 10.1080/15472450701653499     Document Type: Article

References (48)

1. Abdulhai, B., Sheu, J.-B., and Recker, W (1999). Simulation of ITS on. the Irvine FOT Area Using 'Paramics 1.5' Scalable Microscopic Traffic Simulator: Phase I: Model Calibration and Validation. California PATH Research Report: UCB-ITS-PRQ-99-12.
2. Akçelik, R. and Besley, M. (2003). Operating cost, fuel consumption, and emission models in. aaSIDRA and aaMOTION. Paper presented the 25th Conference of Australian Institute of Transportation. Research. (CAITR 2003), University of South Australia, Adelaide, Australia, 3-5, December 2003.
3. American Automobile Association (AAA). (2006). AAA's media site for retail, gasoline prices available online. Retrieved, from http://www. fuelgaugereport.com, on August 15, 2006.
4. Bartin, B., Ozbay, K., Mudiganda, S., Yanmaz-Tuzel, O., and List, G. (2006). Modeling and simulation of unconventional traffic circles. Journal of Transportation Research Record, 1965, 201-209.
5. Cambridge Systematics. (1990). Incident Management. Prepared for Trucking Research Institute, American Trucking Association, Cambridge, MA.
6. Cambridge Systematics and Texas Transportation. Institute. (2004). Traffic congestion and reliability: linking solutions to problems final report. Prepared for FHWA. Cambridge, MA.
7. Carter, M., Cluett, C., DeBlasio, A., Dion, F., Hicks, B., Lappin, J., Novak, D., Rakha, H., Riley, J., St-Onge, C., and Van Aerde, M. (2000). Metropolitan Model Deployment Initiative San Antonio Evaluation Report. Prepared for the Federal. Highway Administration, FHWAOP-00-017, U.S. DOT, Washington, D.C.
8. Chowdhury, M. A. and Sadek, A. (2003). Fundamentals of Intelligent Transportation Systems. Planning, ME: Artech House, Inc.
9. Church, R. L. and Noronha, V (2003). S2P Version 3.Od: Users Manual. Vehicle Intelligence and Transportation Analysis Laboratory, National Center for Geograhic Information, and Analysis, University of California, Santa Barbara, 2003.
10. Davis, S. C. and Diegel, S.W. (2002). Transportation Energy DataBook (22nd ed.). Washington, DC: U.S. Department of Energy.
11. Derr, B. R. (2004). Measuring and communicating the effects of traffic incident management, improvements. National Cooperative Highway Research Program, Research Results Digest, 289.
12. Dumke, L. R. and Doyle, T. E. (2001). Intelligent transportation systems in work zones: leveraging the internet and wireless communications. ITS America 11th Annual Meeting, Miami Florida, June 2001.
13. Dunn, W. M. and Latoski, S. P. (2003). NCHRP Synthesis 318, Safe and Quick Clearance of Highway Incidents: A Synthesis of Highway Practice. Washington, DC: National Cooperative Highway Research Program, Transportation Research Board.
14. Federal Highway Administration. (1996). Innovations in Transportation and Air Quality: Twelve Exemplary Projects. US Department of Transportation, Publication Number FHWA-PD-96-016. Retrieved from http://www.itslessons.its.dot. gov/its/benecost.nsf/ 0/38039BE879F46547852569610051E26D? OpenDocument& Query=BApp.
15. Fenno, D. W. and Ogden, M. A. (1998). Freeway services patrols: A state of the practice. Transportation Research Record, 1634, 28-39.
16. Gardes, Y., May, A. D., Dahlgren, J., and Skabardonis, A. (2002). Freeway calibration, and application of the Paramics model. Transportation Research Board 81st Annual Meeting, Washington D.C., January 2002, 1-23.
17. Hawkins, H. G., Wainwright, W. S., and Tignor, S. C. (1999). Innovative traffic control practices in Europe. Public Roads, 63, 2.
18. Henk, R. H., Molina, M. E., and Venglar, S. P. (1997). Before and After Analysis of the San, Antonio TransGuide System,. Transportation, Research Board Annual Meeting. Washington, DC: Transportation Research, Board, National Research Council.
19. Highway Industry Development Organization. (1997). Intelligent Transport Systems Handbook in Japan, Ministry of Construction. Retrieved from http://www.itslessons.its.dot.gov/its/benecost.nsf/ 0/ 30D32D9BB1685CF3852569610051E26F?OpenDocument& Query=BApp. Retrieved May 12, 2006.
20. Hourdakis, J., Michalopoulos, P. G., and Kottommannil, J. (2003). Practical procedure for calibrating microscopic traffic simulation models. Transportation Research Record, 1852, 130-139.
21. Institute of Transportation Engineers. (2000). Manual of Transportation Engineering Studies, Washington, D.C.
22. Institute of Transportation Engineers. (1997). ITS tour report: Eastern North America & 1996 ITS World Congress. Institute of Transportation Engineers, 1, 4-5.
23. Kelton, W. D. and Law, A. M. (2000). Simulation Modeling and. Analysis (3rd ed.). McGraw Hill, Boston, MA.
24. Kranig, J., Minge, E., and Jones, C. (1997). Field Test for Monitoring of Urban Vehicle Operations Using Non-Intrusive Technologies, Prepared for the Minnesota Department of Transportation and the Federal, Highway Administration. Report Number FHWA-PL-97-018, St. Paul, MN.
25. Lee, D. H., Yang, X., and Chandrasekar, P. (2001). Parameter calibration using genetic algorithm. Transportation Research Board Annual Meeting, Washington, DC: Transportation Research Board, National Research, Council, Natick, MA.
26. Math Works. (1994). Matlab. The Math Works, Inc.
27. Mather, G., and Younglove, T. (1999). Estimating emissions and fuel, consumption for different, levels of freeway congestion. Transportation Research Record. Journal of the Transportation, Research Board, No. 1664, pp. 47-57.
28. McTrans Inc.(2003). Intelligent Transportation Systems Deployment Analysis Software (IDAS). Developed for the Federal Highway Administration, Gainesville, FL.
29. Nam, D. and Mannering, F. (2000). An exploratory hazard-based analysis of highway incident duration. Transportation Research Part A, 34, 84-102.
30. Ozbay, K. and Bartin, P. (2003). Incident, management simulation. Simulation Journal, 79, 69-82.
31. Ozbay, K. and, Kachroo, P. (1999). Incident Management in Intelligent Transportation Systems. Boston: Artech House.
32. Ozbay, K., Xiao, W., Jaiswal, G., and Bartin, B. (2005). Evaluation of Incident Management Strategies. Prepared for the Federal Highway Administration, and the New Jersey Department of Transportation, FHWA-NJ-2005-20, Trenton, NJ.
33. Ozbay, K., Yasar, I., and Kachroo, P. (2004). Modeling and PARAMICS Based Evaluation of New Local Freeway Ramp Metering Strategy that Takes into Account Ramp Queues. Transportation Research Record, 1867, 89-97.
34. Parsons Transportation Group & TTI. (1997). Estimation of benefits of Houston TranStar. Report Issued, 2-7-97. USDOT ITS Benefits Database Entry. Retrieved from http://www.itsbenefits.its.dot. gov/its/benecost.nsf/0/ 0B37A6D584E620B2852569610051E268, April 10, 2006.
35. Pearce, V. and Subramaniam, S. (1998). Intelligent, transportation systems field operational test: cross-cutting study of incident management: detection, verification, and traffic management. Prepared, for the Federal Highway Administration. FHWA-RD-JPO-034, USDOT, Washington, D.C.
36. Prevedouros, P. D., Ji, X., Papandreou, K., Kopelias, P., and Vegiri, V. (2006). Video incident detection, tested in freeway tunnels. Transportation Research Record, 1959, 130-139.
37. Quadstone. (2002) Paramics Traffic Simulation Model. Quadstone Limited. Retrieved from http://www.Paramics-online.com, January, 2006.
38. Samartin, K. (1997). Under detection. Intelligent Transportation Systems International, May/June. USDOT Benefits Database. Retrieved from http://www.benefitcost.its.dot.gov/its/benecost.nsf.
39. Sato, M. and Mizukoshi, N. (1996). Automated incident detection and management system for expressway tunnels. ITS America Annual Meeting. Houston, TX: ITS America.
40. Schrank, D. and Lomax, T. (2004). The 2004 Urban Mobility Report. College Station, TX: Texas Transportation Institute.
41. Skabardonis, A., Chira-Chavala, T., and, Rydzewski, D. (1998a). The 1-880 field experiment: effectiveness of field experiment using cellular phones. California PATH Research Report UCB-ITS-PRR-98-1. Berkeley: University of California.
42. Skabardonis, A. K., Petty, P., Varaiya, P., and Bertini, R. (1998b). Evaluation of the Freeway Service Patrol, in Los Angeles. California PATH Research Report, UCB JTS.PRR-98-31, Berkeley: University of California at Berkeley, pp. 1-59.
43. Smith, B. L., Qi, Y., and Tang, Y (2005). Phase III Autotrack: Integrated CCTV/VIVDS Prototype Field Test: System Refinement, and Development of Shoulder Detection. Virginia Research, Council. Retrieved from http://www.virginiadot. org/vtrc/main/online.reports/ pdf/06-cr2.pdf, March 4, 2007.
44. Stamatiadis, C., Gartner, N. H., Winn, J., and Bond, R. (1998). Evaluation of the Massachusetts motorist assistance program. Annual Meeting of the Transportation, Research Board, Washington, DC: Transportation Research Record 1634, TRB, National Research Council, Washington D.C., 1998 pp. 1-9.
45. Stodolsky, F., Gaines, L., and Vyas, A. (2000). Analysis of Technologies to Reduce Fuel Consumption of Idling Trucks. US Department of Energy, Argonne National Laboratory, Argonne, IL.
46. US Department, of Transportation (US DOT). (2006). ITS Costs Database. Retrieved from http://www.itscosts.its.dot.gov/its/ benecost.nsf/ AdjustedUnitCosts, March 31, 2006.
47. US Environmental, Protection Agency (US EPA). (2003). Mobile6 Emissions Estimation Model. Retrieved from http://www.epa.gov/otaq/m6.htm, August, 5, 2006.
48. Wells, T. and Toffin, E. (2005). Video-Based Automated Incident, Detection on San-Mateo Bridge in the San Francisco Bay Area. ITS World Congress. San Francisco: ITS America.