This research has two objectives: 1) To develop algorithms for plausible and legally-justifiable freeway car-following and arterial-street gap acceptance driving behavior for AVs 2) To implement these algorithms on a representative road network, in order to generate representative drive cycles for AVs that are both theoretically-grounded and based on empirical driving conditions.
Simulation of Automated Vehicles' Drive Cycles
2018
48 pages
Report
Keine Angabe
Englisch
Transportation Safety , Road Transportation , Transportation & Traffic Planning , Regional Administration & Planning , Urban Administration & Planning , Computer Software , Common Carrier & Satellite , Road network model , Freeway congestion , Vehicle automation , Freeway pipeline capacity , Turning movement , Empirical driving conditions , Implementation , Simulation development
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