51 citations · 110 across the 8 of their papers we have counts for
8 papers
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning
Qiming Ye, Yuxiang Feng, Jose Javier Escribano Macias +2
The deployment of Autonomous Vehicles (AVs) poses considerable challenges and unique opportunities for the design and management of future urban road infrastructure. In light of th…
Feasibility of Equity-driven Taxi Pricing Strategy based on Double Auction Mechanism in Bangkok Metropolitan Region, Thailand
He-in Cheong, Jonathan Sanz Carcelen, Manlika Sukitpaneenit +3
Passenger rejection by taxi drivers impacts the travel behaviour in many cities and suburban areas, often leaving those potential customers in non-popular zones stranded without ac…
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study
Qiming Ye, Yuxiang Feng, Jing Han +2
With the emerging technologies in Intelligent Transportation System (ITS), the adaptive operation of road space is likely to be realised within decades. An intelligent street can l…
Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing
Renos Karamanis, He-in Cheong, Simon Hu +2
Ride-sourcing platforms enable an on-demand shared transport service by solving decision problems often related to customer matching, pricing and vehicle routing. These problems ha…
The ventilation of buildings and other mitigating measures for COVID-19: a focus on winter 2020
RAMP Task 7 Members
This report reviews knowledge of the tranmission of COVID-19 indoors, reviews mitigating measures, and considers the implications for winter 2020.
Vehicle Redistribution in Ride-Sourcing Markets using Convex Minimum Cost Flows
Renos Karamanis, Eleftherios Anastasiadis, Marc Stettler +1
Ride-sourcing platforms often face imbalances in the demand and supply of rides across areas in their operating road-networks. As such, dynamic pricing methods have been used to me…
Assignment and Pricing of Shared Rides in Ride-Sourcing using Combinatorial Double Auctions
Renos Karamanis, Eleftherios Anastasiadis, Panagiotis Angeloudis +1
Transportation Network Companies employ dynamic pricing methods at periods of peak travel to incentivise driver participation and balance supply and demand for rides. Surge pricing…
Deep-MAPS: Machine Learning based Mobile Air Pollution Sensing
Jun Song, Ke Han
Mobile and ubiquitous sensing of urban air quality has received increased attention as an economically and operationally viable means to survey atmospheric environment with high sp…