activity
20192024
most citedOn the needs for MaaS platforms to handle competition in ridesharing mobility

55 citations · 120 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2024

A Bi-criterion Steiner Traveling Salesperson Problem with Time Windows for Last-Mile Electric Vehicle Logistics

Prateek Agarwal, Debojjal Bagchi, Tarun Rambha +1

This paper addresses the problem of energy-efficient and safe routing of last-mile electric freight vehicles. With the rising environmental footprint of the transportation sector a…

econ.EM2024

Microtransit revenue management informed by citywide travel demand and joint subscription-mode choice modeling

Xiyuan Ren, Joseph Y. J. Chow, Venktesh Pandey +1

As an IT-enabled multi-passenger mobility service, microtransit can improve accessibility, reduce congestion, and promote sustainability. However, realizing its business potential…

math.OC2022

Computationally-Efficient Decomposition Heuristic for the Static Traffic Assignment Problem

Venktesh Pandey, Priyadarshan N. Patil

Applications such as megaregional planning require efficient methods for solving traffic assignment problems (TAPs) on large-scale networks. We propose a decomposition heuristic th…

cs.LG2022★ 13 cited

Temporal Multimodal Multivariate Learning

Hyoshin Park, Justice Darko, Niharika Deshpande +7

We introduce temporal multimodal multivariate learning, a new family of decision making models that can indirectly learn and transfer online information from simultaneous observati…

econ.TH2020

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…

eess.SY2019★ 52 cited

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…

cs.CY2019★ 55 cited

On the needs for MaaS platforms to handle competition in ridesharing mobility

Venktesh Pandey, Julien Monteil, Claudio Gambella +1

Ridesharing has been emerging as a new type of mobility. However, the early promises of ridesharing for alleviating congestion in cities may be undermined by a number of challenges…