activity
20202023
most citedA Review and Outlook of Energy Consumption Estimation Models for Electric Vehicles

6 citations · 8 across the 9 of their papers we have counts for

collaborators

10 papers

cs.AI2023★ 1 cited

Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows

Youngseo Kim, Danushka Edirimanna, Michael Wilbur +4

The offline pickup and delivery problem with time windows (PDPTW) is a classical combinatorial optimization problem in the transportation community, which has proven to be very cha…

cs.CY2022

Designing Equitable Transit Networks

Sophie Pavia, J. Carlos Martinez Mori, Aryaman Sharma +4

Public transit is an essential infrastructure enabling access to employment, healthcare, education, and recreational facilities. While accessibility to transit is important in gene…

cs.AI2022★ 1 cited

Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit

Amutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay +4

Vehicle routing problems (VRPs) can be divided into two major categories: offline VRPs, which consider a given set of trip requests to be served, and online VRPs, which consider re…

cs.AI2022

An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services

Michael Wilbur, Salah Uddin Kadir, Youngseo Kim +6

Many transit agencies operating paratransit and microtransit services have to respond to trip requests that arrive in real-time, which entails solving hard combinatorial and sequen…

eess.SY2021

Transit-Gym: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems

Ruixiao Sun, Rongze Gui, Himanshu Neema +6

Public-transit systems face a number of operational challenges: (a) changing ridership patterns requiring optimization of fixed line services, (b) optimizing vehicle-to-trip assign…

cs.CY2021

Efficient Data Management for Intelligent Urban Mobility Systems

Michael Wilbur, Philip Pugliese, Aron Laszka +1

Modern intelligent urban mobility applications are underpinned by large-scale, multivariate, spatiotemporal data streams. Working with this data presents unique challenges of data…

physics.soc-ph2020

Impact of COVID-19 on Public Transit Accessibility and Ridership

Michael Wilbur, Afiya Ayman, Anna Ouyang +7

Public transit is central to cultivating equitable communities. Meanwhile, the novel coronavirus disease COVID-19 and associated social restrictions has radically transformed rider…

eess.SP2020

Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets

Afiya Ayman, Michael Wilbur, Amutheezan Sivagnanam +3

Due to increasing concerns about environmental impact, operating costs, and energy security, public transit agencies are seeking to reduce their fuel use by employing electric vehi…

cs.AI2020

Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service

Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur +3

Affordable public transit services are crucial for communities since they enable residents to access employment, education, and other services. Unfortunately, transit services that…

eess.SY2020★ 6 cited

A Review and Outlook of Energy Consumption Estimation Models for Electric Vehicles

Yuche Chen, Guoyuan Wu, Ruixiao Sun +3

Electric vehicles (EVs) are critical to the transition to a low-carbon transportation system. The successful adoption of EVs heavily depends on energy consumption models that can a…