Abstract: The neuro-fuzzy refers to the recent technology that couples the traditional fuzzy logic developments with neural nets training capabilities to compose the fuzzy logic’s knowledge base and fuzzy sets’ parameters optimally. ...

Abstract: This paper provides a detailed overview on the state of practice in the area of data collection, modeling, calibration, and validation of route choice models. This paper presents a new approach for modeling route choice ...

Abstract: This paper is an attempt to address the issue of data flow interdependency and error propagation in Advanced Traveler Information Systems/Advanced Traffic Management Systems supporting simulation-based models. A complex ...