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pro vyhledávání: '"Boyles, Stephen D."'
Shared autonomous electric vehicles can provide on-demand transportation for passengers while also interacting extensively with the electric distribution system. This interaction is especially beneficial after a disaster when the large battery capaci
Externí odkaz:
http://arxiv.org/abs/2411.10444
In (Zhu et al., 2022), it proposes an electric vehicle traveling salesman problem with drone while assuming that the electric vehicle (EV) is a battery-electric vehicle whose energy could be refreshed in a battery swap station in minutes. In this pap
Externí odkaz:
http://arxiv.org/abs/2205.13735
The idea of deploying electric vehicles and unmanned aerial vehicles (UAVs), also known as drones, to perform "last-mile" delivery in logistics operations has attracted increasing attention in the past few years. In this paper, we propose the electri
Externí odkaz:
http://arxiv.org/abs/2201.07992
We consider a budget constrained rail network electrification problem with associated changes in costs of energy usage (via path gradient and curvature), operations, and long-term maintenance. In particular, we consider that freight flows on such a n
Externí odkaz:
http://arxiv.org/abs/2110.03832
Dynamic tolls present an opportunity for municipalities to eliminate congestion and fund infrastructure. Imposing tolls that regulate travel along a public highway through monetary fees raise worries of inequity. In this article, we introduce the con
Externí odkaz:
http://arxiv.org/abs/2007.07091
Autor:
Yahia, Cesar N., de Veciana, Gustavo, Boyles, Stephen D., Rahal, Jean Abou, Stecklein, Michael
Ridesourcing platforms recently introduced the ``schedule a ride'' service where passengers may reserve (book-ahead) a ride in advance of their trip. Reservations give platforms precise information that describes the start time and location of antici
Externí odkaz:
http://arxiv.org/abs/2002.09664
Akademický článek
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This article develops a deep reinforcement learning (Deep-RL) framework for dynamic pricing on managed lanes with multiple access locations and heterogeneity in travelers' value of time, origin, and destination. This framework relaxes assumptions in
Externí odkaz:
http://arxiv.org/abs/1909.04760
Publikováno v:
Transportation Letters (2021): 1-14
Unmanned aerial vehicles (UAVs) provide a novel means of extracting road and traffic information from video data. In particular, by analyzing objects in a video frame, UAVs can detect traffic characteristics and road incidents. Leveraging the mobilit
Externí odkaz:
http://arxiv.org/abs/1807.11660
Publikováno v:
In Transportation Research Part C April 2022 137
