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Smart city article details
| Title | Asc: Actuation System For City-Wide Crowdsensing With Ride-Sharing Vehicular Platform |
|---|---|
| ID_Doc | 10605 |
| Authors | Chen X.; Xu S.; Fu H.; Joe-Wong C.; Zhang L.; Noh H.Y.; Zhang P. |
| Year | 2019 |
| Published | SCOPE 2019 - Proceedings of the 2019 International Science of Smart City Operations and Platforms Engineering |
| DOI | http://dx.doi.org/10.1145/3313237.3313299 |
| 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. We 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 our 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, our ASC only requires 10% of the baseline budget. © 2019 ACM. |
| Author Keywords | actuation system; mobile crowdsensing; ride-sharing; smart city |
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