Examination of multiple mode/route-choice paradigms under ATIS

IEEE Transactions on Intelligent Transportation Systems

Volumn 7, Issue 3, 2006, Pages 332-348

  Abdel Aty, Mohamed A ^a   Abdalla, M Fathy ^a  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Compliance; Correlation; Diversion; En route; Mode route choices; Pretrip

Indexed keywords

COMPUTER SIMULATION; CORRELATION METHODS; DATA ACQUISITION; DATA TRANSFER; DATABASE SYSTEMS; MATHEMATICAL MODELS; TRAFFIC SIGNALS;

ADVANCED TRAVELER INFORMATION SYSTEMS (ATIS); DYNAMIC DATA COLLECTION TOOL; ROUTE CHOICE PARADIGMS; TRAFFIC INFORMATION;

INFORMATION TECHNOLOGY;

EID: 33748583506     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2006.880634     Document Type: Article

References (70)

1. M. Abdel-Aty and F. Abdalla, "Design and development of a computer simulation tool to collect data that support hybrid travel models under ATIS," in Proc. Annu. Conf. Can. Soc. Civil Eng., Montreal, QC, Canada, 2002.
2. S. Pallottino and M. Grazia, "Shortest path algorithms in transportation models: Classical and innovative aspects," in Equilibrium and Advanced Transportation Modeling, P. Marcotte and S. Nguyen, Eds. Boston, MA: Kluwer, 1998, pp. 245-281.
3. H. Mahmassani and D. Stephan, "Experimental investigation of route and departure time choice dynamics of urban commuters," Transp. Res. Rec. 1203, pp. 69-84, 1988.
4. H. Mahmassani and R. Herman, "Interactive experiments for the study of trip-maker behavior dynamics in congested commuting systems," in Developments in Dynamic and Activity-Based Approaches to Travel Analysis, P. Jones, Ed. Aldershot, U.K.: Gower, 1990, pp. 272-289.
5. P. Bonsall and T. Parry, "Using an interactive route-choice simulator to investigate driver's compliance with route guidance advice," Transp. Res. Rec., vol. 1306, pp. 59-68, 1991.
6. R. Allen, D. Ziedman, T. Rosenthal, A. Stein, J. Torres, and A. Halati, "Laboratory assessment of driver route diversion in response to in-vehicle navigation and motorist information systems," Transp. Res. Rec., vol. 1306, pp. 82-91, 1991.
7. J. Adler, W. Recker, and M. McNally, A Conflict Model and Interactive Simulator (FASTCARS) for Predicting En-Route Assessment and Adjustment Behavior in Response to Real-Time Traffic Condition Information, 1992, Berkeley, CA: Univ. California Transp. Center. Working paper UCTC No. 127.
8. J. Polak and P. Jones, "The acquisition of pretrip information: A stated preference approach," in Proc. 71st Annu. Meeting Transp. Res. Board, Washington, DC, 1992.
9. K. Vaughn, M. Abdel-Aty, R. Kitamura, P. Jovanis, H. Yang, N. Kroll, R. Post, and B. Oppy, "Experimental analysis and modeling of sequential route choice behavior under ATIS in a simplistic traffic network," Transp. Res. Rec., vol. 1408, pp. 75-82, 1993.
10. P. Chen and H. Mahmassani, "Dynamic interactive simulator for studying commuter behavior under real-time traffic information supply strategies," Transp. Res. Rec. 1413, pp. 12-21, 1993.
11. Y. Iida, T. Akiyama, and T. Uchida, "Experimental analysis of dynamic route choice behavior," Transp. Res., vol. 26B, no. 1, pp. 17-32, Feb. 1992.
12. H. Koutsopoulos, T. Lotan, and Q. Yang, "A driving simulator and its application for modeling route choice in the presence of information," Transp. Res., vol. 2C, no. 2, pp. 91-107, Jun. 1993.
13. B. Kantowitz, C. Becker, and S. Barlow, "Assessing driver acceptance of IVHS components," in Proc. 37th Annu. Meeting Human Factors and Ergonomics Soc., Seattle, WA, 1993, pp. 1062-1066.
14. H. Yang, "Exploration of route choice behavior with advanced traveler information using neural network concepts," Transportation, vol. 20, no. 2, pp. 199-223, 1994.
15. K. Vaughn, P. Reddy, M. Abdel-Aty, R. Kitamura, and P. Jovanis, "Route choice and information use: Initial results simulation experiment," Transp. Res. Rec., vol. 1516, pp. 61-91, 1995.
16. P. Bonsall, P. Firmin, M. Anderson, J. Palmer, and P. Balmforth, "Validating the results of a route choice simulator," Transp. Res., Part C Emerg. Technol., vol. 5, no. 6, pp. 371-387, Dec. 1997.
17. T. Lotan, "Effects of familiarity on route choice behavior in the presence of information," Transp. Res., Part C, vol. 5, no. 3/4, pp. 225-243, Aug. 1997.
18. H. Mahmassani and Y. Liu, "Dynamics of commuting decision behavior under advanced traveler information systems," Transp. Res. C, vol. 7, no. 2/3, pp. 91-107, Apr./Jun. 1999.
19. P. Chen and H. Mahmassani, "Dynamics of urban commuter behavior under real-time traffic information," Center for Transp. Res., Univ. Texas, Austin, TX, Rep. No: SWUTC/99/472840-00066-1, 1999.
20. H. Mahmassani, N. Huynh, and K. Srinivasan, "Tripmaker choice behavior for shopping trips under real-time information: Model formulation and results of stated-preferences Internet-based interactive experiments," in Proc. 80th Annu. Meeting Transp. Res. Board, Washington, DC, 2000.
21. M. Kraan, H. Mahmassani, and N. Huynh, "Interactive survey approach to study traveler responses to ATIS for shopping trips," Transp. Res. Rec. 1725, pp. 116-123, 2000.
22. K. Ozbay, A. Datta, and P. Kachroo, "Modeling route choice behavior with stochastic learning automata," in Transp. Res. Rec. 1725, pp. 38-46, 2001.
23. M. Stokes, C. Davis, and G. Koch, Categorical Data Analysis Using the SAS System, 2nd ed. Cary, NC: SAS Inst., 2000.
24. A. Khattak, Y. Yim, and L. Stalker, "Does travel information influence commuter and noncommuter behavior? Results from the San Francisco bay area TRAVINFO project," Transp. Res. Rec., vol. 1694, pp. 48-58, 1999.
25. K. Wunderlich, "An assessment of pre-trip and en route ATIS benefits in a simulated regional urban network," in Proc. 3rd World Congr. Intell. Transp. Syst., Orlando, FL, 1996.
26. M. Abdel-Aty, R. Kitamura, and P. Jovanis, "Using stated preference data for studying the effect of advanced traffic information on drivers' route choice," Transp. Res. Part C, vol. 5, no. 1, pp. 39-50, Feb. 1997.
27. R. Sengupta and B. Hongola, "Estimating ATIS benefits for the smart corridor," in "Partners for Advanced Transit and Highways," Inst. Transp. Studies, Univ. California, Berkeley, Res. Rep., UCB-ITS-PRR-98-30, 1998.
28. S. Zhao, N. Harata, and K. Ohta, "Assessing driver benefits from information provision: A logit model incorporating perception band of information," in Proc. 24th Annu. Passenger Transp. Res. Conf., London, U.K., 1996, pp. 280-292.
29. H. Mahmassani and T. Hu, "Day-to-day evolution of network flows under real-time information and reactive signal control," Transp. Res. C, vol. 5, no. 1, pp. 51-69, Feb. 1997.
30. R. Reiss, N. Gartner, and S. Cohen, "Dynamic control and traffic performance in a freeway corridor: A simulation study," Transp. Res. A, vol. 25A, no. 5, pp. 267-276, 1991.
31. R. Arnott, A. De-Palma, and R. Lindsey, "Departure time and route choice for the morning commute," Transp. Res. B, vol. 24, no. 3, pp. 209-228, Jun. 1990.
32. J. Adler, W. Recker, and M. McNally, "A conflict model and interactive simulator (FASTCARS) for predicting en-route driver behavior in response to real-time traffic condition information," Transp., vol. 20, no. 2, pp. 83-106, 1993.
33. M. Abdel-Aty, K. Vaughn, R. Kitamura, P. Jovanis, and F. Mannering, "Models of commuters' information use and route choice: Initial results based on Southern California commuter route choice survey," Transp. Res. Rec., vol. 1453, pp. 46-55, 1994.
34. M. Abdel-Aty, R. Kitamura, and P. Jovanis, "Investigating effect of travel time variability on route choice using repeated measurement stated preference data," Transp. Res. Rec., vol. 1493, pp. 39-45, 1995.
35. F. Mannering, S. Kim, W. Barfield, and L. Ng, "Statistical analysis of commuters' route, mode and departure time flexibility," Transp. Res. C, vol. 2, no. 1, pp. 35-47, Mar. 1994.
36. J. Spyridakis, W. Barfield, L. Conquest, M. Haselkorn, and C. Isakson, "Surveying commuter behavior: Designing motorist information system," Transp. Res. A, vol. 25, pp. 17-30, 1991.
37. H. Mahmassani, "Dynamic models of commuter behavior: Experimental investigation and application to the analysis of planned traffic disruptions," Transp. Res. A, vol. 24, no. 6, pp. 465-484, Nov. 1990.
38. L. Conquest, J. Spyridakis, and M. Haselkorn, "The effect of motorist information on commuter behavior: Classification of drivers into commuter groups," Transp. Res. C, vol. 1, no. 2, pp. 183-201, Jun. 1993.
39. M. Abdel-Aty, K. Vaughn, P. Jovanis, R. Kitamura, and F. Mannering, "Impact of traffic information on commuters' behavior: Empirical results from Southern California and their implications for ATIS," in Proc. Annu. Meeting IVHS Amer., 1994, pp. 823-830.
40. Y. Liu and H. Mahmassani, "Dynamic aspects of departure time and route decision behavior under advanced traveler information systems (ATIS): Modeling framework and experimental results," Transp. Res. Rec., vol. 1645, pp. 111-119, 1998.
41. K. Srinivasan and H. Mahmassani, "Analyzing heterogeneity and unobserved structural effects in route-switching behavior under ATIS: A dynamic kernel logit formulation," Transp. Res. Part B, vol. 37, no. 9, pp. 793-814, Nov. 2003.
42. A. Polydoropoulou, M. Ben-Akiva, A. Khattak, and G. Lauprete, "Modeling revealed and stated en-route travel response to advanced traveler information systems," Transp. Res. Rec., vol. 1537, pp. 38-45, 1996.
43. A. Khattak, A. Polydoropoulou, and M. Ben-Akiva, "Modeling revealed and stated pretrip travel response to advanced traveler information systems," Transp. Res. Rec., vol. 1537, pp. 46-54, 1996.
44. S. Peeta and J. Yu, "A Hybrid model for driver route choices incorporating en-route attributes and real-time information effects," in Proc. 82nd Annu. Meeting Transp. Res. Board, Washington, DC, 2003.
45. K. Srinivasan and H. Mahmassani, "Modeling inertia and compliance mechanisms in route choice behavior under real-time information," Transp. Res. Rec. No. 1725, pp. 45-53, 2000.
46. F. Streff and R. Wallace, "Analysis of drivers' information preferences and use in automobile travel: Implications for advanced traveler information systems," in Proc. Vehicle Navigat. and Inf. Syst. Conf., Ottawa, ON, Canada, 1993, pp. 414-418.
47. K. Kim and U. Vandebona, "Understanding route change behavior - A commuter survey in South Korea," presented at the 81st Transp. Res. Board, Annu. Meeting, Washington, DC, 2002.
48. J. Adler and M. McNally, "In-laboratory experiments to investigate driver behavior under advanced traveler information systems," Transp. Res., 2C, pp. 149-164, 1994.
49. K. Chatterjee, N. Hounsell, P. Firmin, and P. Bonsall, "Driver response to variable message sign information in London," Transp. Res. C, vol. 10, no. 2, pp. 149-169, Apr. 2002.
50. M. Ben-Akiva, A. De-Palma, and I. Kaysi, "Dynamic network models and driver information systems," Transp. Res. A, vol. 25, no. 5, pp. 251-266, 1991.
51. S. Mehndiratta, M. Kemp, J. Lappin, and E. Nierenberg, "Who are the likely users of ATIS? Evidence from the Seattle Region," in Proc. 79th Annu. Meeting Transp. Res. Board, Washington, DC, 2000, pp. 15-24.
52. A. Khattak, J. Schofer, and F. Koppelman, "Commuters' en-route diversion and return decisions: Analysis and implications for advanced traveler information systems," Transp. Res. Rec., vol. 24A, no. 2, pp. 101-111, 1993.
53. H. Mahmassani and P. Chen, "An investigation of the reliability of real-time information for route choice decisions in a congested traffic network system," Transp., vol. 20, no. 2, pp. 157-178, Jun. 1993.
54. A. Khattak, J. Schofer, and F. Koppelman, "Effect of traffic information on commuters' propensity to change route and departure time," J. Adv. Transp., vol. 29, no. 2, pp. 193-212, 1995.
55. K. Viswanathan, K. Goulias, and P. Jovanis, "Use of traveler information in the puget sound region: A preliminary multivariate analysis," Transp. Res. Rec., vol. 1719, pp. 94-102, 2000.
56. D. Gopinath, "Modeling heterogeneity in discrete choice processes: Application to travel demand," Ph.D. dissertation, Mass. Inst. Technol., Cambridge, 1995.
57. K. Delvert, "Heterogeneous agents facing route choice: Experienced versus inexperienced tripmakers," presented at the Int. Association Travel Behaviour Res., Austin, TX, 1997.
58. F. Mannering, "Analysis of the impact of interest rates on automobile demand," Transp. Res. Rec., vol. 1116, pp. 10-14, 1987.
59. R. Kitamura and D. Bunch, "Heterogeneity and state dependence in household car ownership: A panel analysis using ordered-response probit models with error components," in Transportation and Traffic Theory. Oxford, U.K.: Elsevier, 1990, pp. 477-496.
60. T. Morikawa, "Correcting state dependence and serial correlation in the RP/SP combined estimation method," Transp., vol. 21, no. 2, pp. 153-165, 1994.
61. R. Garrido and H. Mahmassani, "Forecasting freight transportation demand with the space-time multinomial probit model," Transp. Res. Part B, vol. 34, no. 5, pp. 403-418, Jun. 2000.
62. W. Chen and P. Jovanis, "Analysis of driver en-route guidance compliance and driver with ATIS using a travel simulation experiment," presented at the 81st Transp. Res. Meeting, Washington, DC, 2003.
63. P. Vovsha and S. Bekhor, "Link-nested logit model of route choice: Overcoming route overlapping problem," Transp. Res. Rec., vol. 1645, pp. 133-142, 1998.
64. S. Bekhor and J. Prashker, "Stochastic user equilibrium formulation for generalized nested logit model," Transp. Res. Rec. No. 1752, pp. 84-90, 2001.
65. K. Liang, S. Zeger, and B. Qaqish, "Multivariate regression analysis for categorical data," J. R. Stat. Soc., Ser. B, vol. 54, pp. 30-40, 1992.
66. Technical Support Resources Version 8.2, 2003. SAS/STAT.
67. S. Zeger, K. Liang, and P. Albert, "Models for longitudinal data: A generalized estimating equation approach," Biometrics, vol. 44, no. 4, pp. 1049-1060, Dec. 1988.
68. K. Liang and S. Zeger, "Longitudinal data analysis using generalized linear models," Biometrika, vol. 73, no. 1, pp. 13-22, 1986.
69. S. Lipsitz, K. Kim, and L. Zhao, "Analysis of repeated categorical data using generalized estimating equations," Stat. Med., vol. 13, no. 11, pp. 1149-1163, Jun. 1994.
70. J. Louviere and G. Woodworth, "Design and analysis of simulated consumer choice or allocation experiments: An approach based on aggregate data," J. Mark. Res., no. 4, pp. 350-367, Nov. 1983.