Development of A Safe, Profitable, and Fair Robotaxi Deployment Strategy
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2021-08-01
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Abstract:The deployment of autonomous vehicles (AVs) has been troubled by the soaring cost of operations and the public’s concerns about the safety and fairness issues potentially brought by the new mobility. As leading companies such as Waymo and Uber which have obtained permits to commercialize their robotaxi fleets domestically and overseas, it is urgent to investigate deployment strategies that are sustainable for companies to run their business and beneficial to the public. This project aims to develop a safe, profitable, and fair deployment strategy for robotaxis by studying the possibility of deploying a fleet of autonomous vehicles with different functionalities. The temporospatial requirement for AVs will be analyzed using the traffic primitives method and synthesized with transportation demands. In this project, the authors visualize the complexity of the possible situations and the risk level on the whole Pittsburgh City level.
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