Quantifying the Effect on Congestion of Converting Metropolitan Taxi Services Into Ridesharing Mode
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2024-02-28
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Edition:Final Report
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Abstract:This research introduces practical optimization model for implementing ridesharing in taxi services and studies the effects of ridesharing on the congestion status through the case study of Chicago. Ride-sharing combines trips into one ride-shared trip with the objective of maximizing the total mileage saving. This research proposes a multi-stage model to optimize rider matches, aiming to reduce the total travel distance and enhance the matching of multiple riders. To validate the effectiveness of the model, real taxi data from Chicago is used, demonstrating significant improvements in distance reduction. Next, this study conducted congestion analysis by investigating the differences in congestion before and after the implementation of ridesharing mode. The traffic state is assessed through the computed congestion index before being graphically represented on congestion maps. After comparing the congestion map of community areas and census tracts before and after ridesharing, we conclude that ridesharing can improve the overall congestion status at the city level. This is particularly crucial given the increasing public awareness of environmental issues and the need for sustainable transportation solutions in cities.
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Main Document Checksum:urn:sha-512:cf7e518c871494b63b6e85e8b5856f2eb183e13bd62c138d8fcdcd7155c0b1a9a72cc91467c40b0e2592af59fc1d8e1529c6ff087d5883f7eab603412d947932
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