Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems
September 20, 2019 Β· Declared Dead Β· π Applied Sciences
"No code URL or promise found in abstract"
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Authors
Xinghua Zheng, Ming Tang, Hankz Hankui Zhuo, Kevin X. Wen
arXiv ID
1909.09616
Category
cs.AI: Artificial Intelligence
Citations
9
Venue
Applied Sciences
Last Checked
4 months ago
Abstract
Bike Sharing Systems (BSSs) have been adopted in many major cities of the world due to traffic congestion and carbon emissions. Although there have been approaches to exploiting either bike trailers via crowdsourcing or carrier vehicles to reposition bikes in the ``right'' stations in the ``right'' time, they do not jointly consider the usage of both bike trailers and carrier vehicles. In this paper, we aim to take advantage of both bike trailers and carrier vehicles to reduce the loss of demand with regard to the crowdsourcing of bike trailers and the fuel cost of carrier vehicles. In the experiment, we exhibit that our approach outperforms baselines in several datasets from bike sharing companies.
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