Article ID Journal Published Year Pages File Type
6935764 Transportation Research Part C: Emerging Technologies 2018 12 Pages PDF
Abstract

- Proposes a Tabu Search based optimization framework to simulate shared autonomous electric vehicles.
- Case study shows that allowing multiple occupants improves service rate and system savings.
- The average wait time per trip increases exponentially as ridesharing percentage increases.
- Compared to traditional ride-hailing service, the fleet size and the number of charging stations significantly reduce.
- Private vehicle ownership may reduce as vehicle capacity and range increase in the context of ridesharing operations.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
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