Actuation System For City-Wide Sensing and Ride Distribution Using Managed Vehicular Fleets

Zhang, Pei; Chen, Xinlei; Xu, Susu; Fu, Haohao; Joe-Wong, Carlee; Zhang, Lin; Noh, Hae Young

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Actuation System For City-Wide Sensing and Ride Distribution Using Managed Vehicular Fleets

2019-04-15
By Zhang, Pei ; Chen, Xinlei ; Xu, Susu

File Language:

English

Details

Creators:

Zhang, Pei ; Chen, Xinlei ; Xu, Susu ; Fu, Haohao ; Joe-Wong, Carlee ; Zhang, Lin ; Noh, Hae Young
Corporate Creators:

Carnegie Mellon University. Traffic21 University Transportation Center (UTC)
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Research Report
Corporate Publisher:

Mobility21 (UTC)
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.
Format:

PDF
Funding:

69A3551747111
Download URL:

https://rosap.ntl.bts.gov/view/dot/53885/dot_53885_DS1.pdf
File Type:

[PDF - 1.35 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:490ac8af43f47c0d772656033beb1f81df4add28d7b2a979ddc4feb524c1f574bb9f695ec8193c63ee199f36d8999f469f5d3e79c66a5560ef522f22787edac7

Actuation System For City-Wide Sensing and Ride Distribution Using Managed Vehicular Fleets [supporting datasets]

Dataset

This is a dataset of location data used for actuated taxi data related to paper:Chen, X., Xu, S., Fu, H., Joe-Wong, C., Zhang, L., Noh, H. Y., & Zhang ...

Zhang, Pei

;

Chen, Xinlei

File Language:

English

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