Use of vehicle signature analysis and lexicographic optimization for vehicle reidentification on freeways

Transportation Research Part C: Emerging Technologies

Volumn 7, Issue 4, 1999, Pages 167-185

  Sun, Carlos ^a   Ritchie, Stephen G ^b   Tsai, Kevin ^b   Jayakrishnan, R ^b  

^a Rowan University   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Lexicographic optimization; Section measures; Vehicle reidentification

Indexed keywords

ALGORITHMS; MATHEMATICAL PROGRAMMING; OPTIMIZATION; TRAFFIC CONTROL;

ADVANCED TRANSPORTATION MANAGEMENT INFRASTRUCTURE; BAYESIAN ANALYSIS TECHNIQUE; CONVENTIONAL SURVEILLANCE INFRASTRUCTURE; LEXICOGRAPHIC GOAL PROGRAMMING; LEXICOGRAPHIC OPTIMIZATION; VEHICLE REIDENTIFICATION;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 0033350353     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0968-090X(99)00018-2     Document Type: Article

References (16)

1. Böhnke P., Pfannerstill E. A system for the automatic detection of traffic situations. ITE Journal. 1986;56.
2. Chang G., Kao Y. An empirical investigation of macroscopic lane changing characteristic on uncongested multilane freeways. Transporation Research. 25A(6):1990;375-389.
3. Hawkins T. Lebesgue's Theory of Integration. 1970;The University of Wisconsin Press, Madison.
4. Intersection Development Corporation, 1997. Model IVS-2000 Intelligent Vehicle Sensor Technical Information.
5. Kapur, K., 1970. Mathematical Methods of Optimization for Multi-Objective Transportation Systems, paper presented at the Operations Research Society of America Meeting. Washington, DC, 20-22 April.
6. Kühne R.D. Freeway control using a dynamic traffic flow model and vehicle reidentfication techniques. Transportation Research Record. 20:1991;251-259.
7. Kühne, R.D., Immes, S., 1993. Freeway control systems for using section-related traffic variable detection. Pacific Rim. Trans. Tech. Conference, July 25-28, Seattle, Washington.
8. Kühne, R., Palen, J., Gardner, C., Ritchie, S., 1997. Section related measures of traffic system performance, presented at the 1997 transportation research board annual meeting, Washington, DC.
9. Lippmann, R., 1987. An introduction to computing with neural nets, IEEE Acoustics, Speech and Signal Processing Magazine, April, pp. 4-22.
10. Rentmeesters, M., Tsai, W., Lin, K. (Eds.), 1996. A theory of lexicographic multi-criteria optimization. In: Proceedings of the Second IEEE International Conference on Engineering of Complex Computer Systems, 76-79, IEEE Computer Society Press, Los Alamitos, California.
11. Rentmeesters, M., 1998. A theory of multi-objective optimization: comprehensive Kuhn-Tucker conditions for lexicographic and pareto optima. Ph.D. Dissertation, University of California, Irvine.
12. Stadler W. Multicriteria Optimization in Engineering and in the Sciences. 1988;Plenum Press, New York.
13. Steuer R.E. Multiple Criteria Optimization: Theory, Computation and Application. 1986;Wiley, New York.
14. Sun, C., Ritchie, S., Tsai, K., 1998. Algorithm development for derivation of section-related measures of traffic system performance using inductive loop detectors, Preprints, Transportation Research Board. 77th Annual Meeting, January 11-15. Washington, DC.
15. Wasserman P. Neural Computing Theory and Practice. 1989;Van Nostrand Reinhold, New York.
16. Zionts S. Multiple criteria mathematical programming: an overview and several approaches. Mathematics of Multi Objective Optimization. 1985;227-274 Springer, New York.