Comparative Analysis of Random Utility Models and Fuzzy Logic Models for Representing Gap-Acceptance Behavior Using Data from Driving Simulator Experiments

Author:

Riccardo Rossi,Massimiliano Gastaldi,Gregorio Gecchele,Claudio Meneguzzer

Publisher

Elsevier BV

Subject

General Medicine

Reference24 articles.

1. Gap acceptance behaviour – aggregate and Logit perspectives: Part 1;Teply;Traffic Engineering and Control,1997

2. Gap acceptance behaviour – aggregate and Logit perspectives: Part 2;Teply;Traffic Engineering and Control,1997

3. A probabilistic model of gap acceptance behavior;Maze;Transportation Research Record,1981

4. Rossi R., Meneguzzer C. (2002). The effect of crisp variables on fuzzy models of gap-acceptance behaviour. Proceedings of the 13-th Mini-EURO Conference “Handling Uncertainty in the Analysis of Traffic and Transportation Systems”, (p. 240-246). Bari.(Italy).

5. Rossi, R., Gastaldi, M., Gecchele, G., & Meneguzzer, C. (2011a). Logit model versus fuzzy logic model for representing gap-acceptance behavior. WSC16 2011 Online Conference on Soft Computing in Industrial Applications.

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