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Connected Autonomous Safe Technologies

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Urban Eco-driving

Description

A eco driving style (motion planning) is studied in this project for the pursuit of fuel economy and safety. Specifically, an efficient searching algorithm in state space is proposed for the optimal motion planning of a single vehicle traversing a signalized intersection. This deterministic algorithm is extended to a stochastic scenario, where the vehicle only has partial information of the traffic light. Here a Markov Decision Process (MDP) based model is used to help reduce the fuel cost for traversing the intersection.

Participant

Tianqi Li

CAST
305 Doherty Bldg,
242 Spence St,
College Station, TX 77840

castinfo@tamu.edu

Texas A&M University College of Engineering
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