activity
20192021
most citedA dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers

173 citations · 187 across the 4 of their papers we have counts for

collaborators

8 papers

math.OC20218 cited

Optimal queueing-based rebalancing for one-way electric carsharing systems with stochastic demand

Tai-Yu Ma, Theodoros Pantelidis, Joseph Y. J. Chow

Viability of electric vehicle car sharing operations depends on rebalancing algorithms. Earlier methods in the literature suggest a trend toward Markovian stochastic demand with se…

cs.MA2020

Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19

Ding Wang, Fan Zuo, Jingqin Gao +11

The COVID-19 pandemic has affected travel behaviors and transportation system operations, and cities are grappling with what policies can be effective for a phased reopening shaped…

physics.soc-ph20204 cited

NYC Recovery at a Glance: The Rise of Buses and Micromobility

Suzana Duran Bernardes, Zilin Bian, Siva Sooryaa Muruga Thambiran +9

New York City (NYC) is entering Phase 4 of the state's reopening plan, starting July 20, 2020. This white paper updates travel trends observed during the first three reopening phas…

physics.soc-ph20202 cited

Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles

Jingqin Gao, Abhinav Bhattacharyya, Ding Wang +11

Six months into the pandemic and one month after the phase four reopening in New York City (NYC), restrictions are lifting, businesses and schools are reopening, but global infecti…

physics.soc-ph2020

A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City

Brian Yueshuai He, Jinkai Zhou, Ziyi Ma +5

Evaluation of the demand for emerging transportation technologies and policies can vary by time of day due to spillbacks on roadways, rescheduling of travelers' activity patterns,…

cs.AI2020

Dynamic Queue-Jump Lane for Emergency Vehicles under Partially Connected Settings: A Multi-Agent Deep Reinforcement Learning Approach

Haoran Su, Kejian Shi, Joseph. Y. J. Chow +1

Emergency vehicle (EMV) service is a key function of cities and is exceedingly challenging due to urban traffic congestion. The main reason behind EMV service delay is the lack of…