subject: shared mobility type: dataset
10.4231/GDFY-5A56
Bharat Bhargava , Marina Haliem , Vaneet Aggarwal
08/31/2021
Significant development of ride-sharing services presents a plethora of opportunities to transform urban mobility by providing personalized and convenient transportation while ensuring the efficiency of large-scale ride pooling.
Computer Science Deep Q-Network Deep Reinforcement Learning ridesharing Route Planning shared mobility Vehicle Dispatching Vehicle Routing
10.4231/3FT5-MJ18
Darcy M. Bullock , Deborah Horton , Howell Li , Jijo K Mathew , Mingmin Liu
12/17/2020
This data set includes 1-year of E-scooter trip data from the city of Indianapolis, IN between Sep 2018 and Aug 2019.
Civil Engineering e-scooter JTRP micro mobility shared mobility trips
10.4231/K57J-VD94
Konstantina Gkritza , Ricardo Chahine
07/07/2023
Survey data conducted in areas with different shared mobility and transit usage (Indianapolis (low), Minneapolis (medium), and Chicago(heavy)) to assess public perceptions for public transit and shared emerging technologies in the COVID-19 era.
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