Life in the fast lane: Duration-based investigation of driver behavior differences across freeway lanes

Transportation Research Record

Volumn , Issue 2124, 2009, Pages 89-102

  Hamdar, Samer H ^a   Mahmassani, Hani S ^a  

^a Northwestern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHANGE LANE; DRIVER'S BEHAVIOR; LANE CHANGING MANEUVER; LANE-CHANGING BEHAVIORS; SLOWER LANE; TIME DURATION; TRAFFIC CONDITIONS; TRAJECTORIES DATUM;

EID: 76149137255     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2124-09     Document Type: Article

References (19)

1. Gartner, N., C. Messer, and A. Rathi (eds.). Revised Monograph on Traffic Flow Theory. 2001. www.tft.pdx.edu/docs/revised-monograph- 2001.pdf.
2. Daganzo, C. F. A Behavioral Theory of Multi-Lane Traffic Flow. Part I. Long Homogeneous Freeway Sections. Transportation Research B, Vol.36, No.2, 2002, pp. 131-158.
3. Laval, J. A., and C. Daganzo. Multilane Hybrid Traffic Flow Model: Theory on Impacts of Lane-Changing Maneuvers. Presented at 84th Annual Meeting of the Transportation Research Board, Washington, D.C., 2005.
4. Daganzo, C. F. A Behavioral Theory of Multi-Lane Traffic Flow Part II: Merges and the Onset of Congestion. Institute of Transportation Studies Research Reports UCB-ITS-RR-99-106 University of California, Berkeley, 1999.
5. Garcia, A., and M. A. Romero. Tracking Behavior in a Deceleration Lane with Different Lengths. Presented at 3rd International Symposium on Highway Geometric Design, Chicago, Ill., 2005, p. 17.
6. Lee, J.-J. L., N. M. Rouphail, and J. E Hummer. Models for Lane Utilization Prediction for Lane Drop Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No.1912, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 47-56.
7. Hoogendoorn, S. P. Vehicle-Type and Lane-Specific Free Speed Distributions on Motorways: A Novel Estimation Approach Using Censored Observations. In Transportation Research Record: Journal of the Transportation Research Board, No.1934, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 148-156.
8. Hensher, D. A., and F. L. Mannering. Hazard-Based Duration Models and Their Application to Transport Analysis. Transport Reviews, Vol.14, No.1, 1994, pp. 63-82.
9. Bhat, C. R. Duration Modeling (Chap. 6). In Handbook of Transport Modelling, 2000, pp. 91-111.
10. Mannering, F., E. Murakami, and S. G. Kim. Temporal Stability of Travelers' Activity Choice and Home-Stay Duration: Some Empirical Evidence. Transportation, Vol.21, 1994, pp. 371-392.
11. Mannering, F., S. G. Kim, W. Barfield, and L. Ng. Statistical Analysis of Commuters' Route, Mode, and Departure Time Flexibility. Transportation Research, Part C, Vol.2, 1994, pp. 35-47.
12. Ettema, D., A. Borgers, and H. Timmermans. Competing Risk Hazard Model of Activity Choice, Timing, Sequencing, and Duration. In Transportation Research Record 1493, TRB, National Research Council, Washington, D.C., 1995, pp. 101-109.
13. Wang, J. J. Timing Utility of Daily Activities and Its Impact on Travel. Transportation Research A, Vol.30, 1996, pp. 189-206.
14. Bhat, C. R. A Generalized Multiple Durations Proportional Hazard Model with an Application to Activity Participation Behavior During the Work Commute. Transportation Research B, Vol.30, 1996, pp. 432-452.
15. Misra, R., and C. R. Bhat. A Representation and Analysis Framework for Non-Worker Activity Travel Pattern. Technical report. Department of Civil Engineering, University of Texas at Austin, 1999.
16. Hamdar, S. H., and H. S. Mahmassani. Driver Car-Following Behavior: From Discrete Event Process to Continuous Set of Episodes. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
17. NGSIM Task E.1-1: Core Algorithms Assessment. Final report. Prepared by Cambridge Systematics, Inc., for FHWA, U.S. Department of Transportation 2005.
18. Thiemann, C., M. Treiber, and A. Kesting. Estimating Acceleration and Lane-Changing Dynamics Based on Next Generation Simulation Trajectory Data. In Transportation Research Record: Journal of the Transportation Research Board, No.2088, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 90-101.
19. Wasielewski, P. Car-Following Headways on Freeways Interpreted by Semi-Poisson Headway Distribution Model. Transportation Science, Vol.13, No.1, 1974, pp. 36-55.