United States Department of Transportation
i
Actuation System For City-Wide Sensing and Ride Distribution Using Managed Vehicular Fleets
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2019-04-15
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[PDF-1.35 MB]
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Edition:Final Research Report
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Abstract:Vehicular mobile crowdsensing (MCS) enables a lot of smart city applications, such as smart transportation, environmental monitoring etc. Taxis provide a good platform for MCS due to their long operational time and city-scale coverage. However, taxis, as a non-dedicated sensing platform, does not guarantee high sensing coverage quality (large and balanced). This paper presents ASC, a system that actuates vehicular taxis fleets for optimal sensing coverage quality while matching ride requests with taxis. The authors propose a near-optimal algorithm that integrates (1) a mobility prediction model that guides the selection of taxis to actuate and (2) a ride request prediction model to help match ride request with taxis, lower incentive cost and improve taxi drivers’ motivation. Extensive simulation and real-world experiments in a testbed with 230 actuated taxis show that the ASC can achieve up to 40% improvement in sensing coverage quality improvement and up to 20% better ride request matching rate than baselines approaches. In addition, to achieve a similar level of sensing coverage quality, the ASC only requires 10% of the baseline budget.
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