activity
20162021
most citedOptimal Passenger-Seeking Policies on E-hailing Platforms Using Markov Decision Process and Imitation Learning

93 citations · 100 across the 8 of their papers we have counts for

collaborators

8 papers

math.PR2021

Controlling arrival and service rates to reduce sensitivity of queueing systems with customer abandonment

Katsunobu Sasanuma, Robert Hampshire, Alan Scheller-Wolf

The Erlang A model--an M/M/s queue with exponential abandonment--is often used to represent a service system with impatient customers. For this system, the popular square-root staf…

stat.AP2021

Estimating on-street parking occupancy using smart meter data

Daniel Jordon, Robert Hampshire, Tayo Fabusuyi

The excessive search for parking, known as cruising, generates pollution and congestion. Cities are looking for approaches that will reduce the negative impact associated with sear…

cs.PF2020★ 2 cited

Flattening the Curve: Insights From Queueing Theory

Sergio Palomo, Jamol Pender, William Massey +1

The worldwide outbreak of the coronavirus was first identified in 2019 in Wuhan, China. Since then, the disease has spread worldwide. As it currently spreading in the United States…

cs.PF2019

How to Staff When Customers Arrive in Batches

Andrew Daw, Robert C. Hampshire, Jamol Pender

In many different settings, requests for service can arrive in near or true simultaneity with one another. This creates batches of arrivals to the underlying queueing system. In th…

cs.LG2019★ 93 cited

Optimal Passenger-Seeking Policies on E-hailing Platforms Using Markov Decision Process and Imitation Learning

Zhenyu Shou, Xuan Di, Jieping Ye +3

Vacant taxi drivers' passenger seeking process in a road network generates additional vehicle miles traveled, adding congestion and pollution into the road network and the environm…

math.PR2019★ 5 cited

Markov Chain Decomposition Based On Total Expectation Theorem

Katsunobu Sasanuma, Robert Hampshire, Alan Scheller-Wolf

A divide-and-conquer approach to analyzing Markov chains (MCs) is not utilized as widely as it could be, despite its potential benefits. One primary reason for this is the fact tha…

cs.AI2016

An Evaluation of Information Sharing Parking Guidance Policies Using a Bayesian Approach

Xinyi Wu, Kartik Balkumar, Qi Luo +2

Real-time parking occupancy information is critical for a parking management system to facilitate drivers to park more efficiently. Recent advances in connected and automated vehic…

cs.RO2016

A Statistical Method for Parking Spaces Occupancy Detection via Automotive Radars

Qi Luo, Romesh Saigal, Robert Hampshire +1

Real-time parking occupancy information is valuable for guiding drivers' searching for parking spaces. Recently many parking detection systems using range-based on-vehicle sensors…