About
Contact & Profiles
A5102938845
Research Areas
- Traffic control and management
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
Huazhong University of Science and Technology
2016
The conventional mathematical models that are used for traffic distribution and mode choice forecasts consider neither the individual heterogeneity on micro level nor changeable scenes. This prompted us to propose a new forecast method composed of survey, an artificial transportation system (ATS), computational experiments. We introduced BDI modeling in agent-based ATS. considers individual's psychological characteristics combination with logical thinking, which was passenger agents, deduce...
10.1109/tits.2016.2598252
article
EN
IEEE Transactions on Intelligent Transportation Systems
2016-08-19
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