52 citations · 80 across the 8 of their papers we have counts for
8 papers
Electric Vehicle Traveling Salesman Problem with Drone with Partial recharge Policy
Tengkuo Zhu, Stephen D. Boyles, Avinash Unnikrishnan
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 energ…
Electric Vehicle Traveling Salesman Problem with Drone with Fixed-time-full-charge Policy
Tengkuo Zhu, Stephen D. Boyles, Avinash Unnikrishnan
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…
Budget-constrained rail electrification modeling using symmetric traffic assignment -- a North American case study
Priyadarshan N. Patil, Rydell Walthall, Stephen D. Boyles
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…
Time-Equitable Dynamic Tolling Scheme For Single Bottlenecks
John W Helsel, Venktesh Pandey, Stephen D. Boyles
Dynamic tolls present an opportunity for municipalities to eliminate congestion and fund infrastructure. Imposing tolls that regulate travel along a public highway through monetary…
Book-Ahead & Supply Management for Ridesourcing Platforms
Cesar N. Yahia, Gustavo de Veciana, Stephen D. Boyles +2
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 pr…
Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations
Venktesh Pandey, Evana Wang, Stephen D. Boyles
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…
Unmanned Aerial Vehicle Path Planning for Traffic Estimation and Detection of Non-Recurrent Congestion
Cesar N. Yahia, Shannon E. Scott, Stephen D. Boyles +1
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 det…
Traffic Optimization For a Mixture of Self-interested and Compliant Agents
Guni Sharon, Michael Albert, Tarun Rambha +2
This paper focuses on two commonly used path assignment policies for agents traversing a congested network: self-interested routing, and system-optimum routing. In the self-interes…