Dynamic traffic assignment model considering drivers' unfamiliarity with network layout

Most existing dynamic traffic assignment models assume that drivers have sufficient knowledge on roadway networks. However, past experiments have shown that drivers' familiarity with the network layout is an essential component in route selections. In this paper, the concept of recognition level is defined to categorize drivers based on their unfamiliarity of the network and of the alternative routes between origins and destinations. Each catalog is assigned a specific utility function that is dependent on travel time, length of route and recognition parameters. Drivers' route choice behavior is determined by these specific utility functions. A sample network is first employed to test the feasibility of the proposed model, and the result complies with the specified travel patterns. After that, a real network near downtown Houston is used to further test the proposed model. An experiment is conducted based on the information collected from an on-site survey and the on-line realtime traffic map from Houston TranStar. In order to validate the necessity of the proposed model, a control experiment is carried out with all parameters being set in the same way as the designed experiment except that drivers are assumed to be fully familiar with the network layout and alternative routes. Test results show that the proposed model better fit the real case.

[1]  Samer Madanat,et al.  Perception updating and day-to-day travel choice dynamics in traffic networks with information provision , 1998 .

[2]  Jorge Ramos,et al.  Driver response to variable message signs-based traffic information , 2006 .

[3]  George L. Nemhauser,et al.  Optimality Conditions for a Dynamic Traffic Assignment Model , 1978 .

[4]  Kay W. Axhausen,et al.  Effects of information in road transport networks with recurrent congestion , 1995 .

[5]  Yu-Hsin Liu,et al.  Route switching behavior on freeways with the provision of different types of real-time traffic information , 2005 .

[6]  J G Wardrop,et al.  CORRESPONDENCE. SOME THEORETICAL ASPECTS OF ROAD TRAFFIC RESEARCH. , 1952 .

[7]  T Lotan,et al.  Effects of familiarity on route choice behavior in the presence of information , 1997 .

[8]  Thijs J. Muizelaar,et al.  Drivers’ Preferences for Traffic Information for Nonrecurrent Traffic Situations , 2007 .

[9]  Henry X. Liu,et al.  An Analytical Dynamic Traffic Assignment Model with Probabilistic Travel Times and Travelers' Perceptions , 2002 .

[10]  Mohammad M. Hamed,et al.  Drivers' familiarity with urban route network layout in Amman, Jordan , 2001 .

[11]  Ta Theo Arentze,et al.  A micro-simulation model system of departure time using a perception updating model under travel time uncertainty , 2005 .

[12]  M. R. McCord,et al.  Urban transportation networks: Equilibrium analysis with mathematical programming methods: Yosef Sheffi. Prentice-Hall, Inc., Englewood Cliffs, NJ, U.S.A. 1985. 399 pp. + xvi. $40.95 , 1987 .

[13]  Deepak K. Merchant,et al.  A Model and an Algorithm for the Dynamic Traffic Assignment Problems , 1978 .

[14]  Hai Yang,et al.  A stochastic user equilibrium assignment model for congested transit networks , 1999 .

[15]  Li Jing,et al.  Dynamic drivers' behavior under the effect of advanced traveler information and guidance systems , 2001, 2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No.01EX479).

[16]  Bin Ran,et al.  Analytical Dynamic Traffic Assignment Model with Probabilistic Travel Times and Perceptions , 2002 .

[17]  E. Cascetta,et al.  A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS , 1996 .

[18]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[19]  Hani S. Mahmassani,et al.  Effect of Information Quality on Compliance Behavior of Commuters Under Real-Time Traffic Information , 1999 .