Abstract. As new markets for transportion arise, on-demand trans-port services are set to grow as more passengers seek affordable per-sonalized journeys. To reduce passenger prices and increase provider revenue, these journeys will often be shared with other passengers. As such, new negotiation mechanisms between passengers and the service provider are required to plan and price journeys. In this pa-per, we propose a novel profit-aware negotiation mechanism: a multi-agent approach that accounts for both passenger and service provider preferences. Our negotiation mechanism prices each passenger’s journey, in addition to providing vehicle routing and scheduling. We prove a stability property of our negotiation mechanism using a con-nection to...
In a mature market, telecommunication operators try to differentiate themselves by marketing bundles...
Purpose of this paperRevenue management has been vastly used in different modes of passenger and fre...
Over the last decade, platforms have emerged in numerous industries and often transformed them, posi...
We consider the situation where multiple transportation service providers cooperate to offer an inte...
The success of carsharing as a new and more sustainable way of travel is moving private car ownershi...
Abstract: We present a distributed learning algorithm for optimizing transit prices in the inter-dom...
We present a distributed learning algorithm for optimizing transit prices in the inter-domain routin...
We study whether the efficiency of the taxi industry can be improved by introducing price negotiati...
Pricing measures (e.g., a kilometre charge or cordon toll) are used to improve the external effects ...
ISBN 978-3-540-72708-8International audienceWe present both a game theoretic and a distributed algor...
The traveling salesman problem and its variants are among the most studied problems in the literatur...
This paper examines different car-sharing models offered by ride-hailing firms. In the traditional m...
A great challenge of city planners is to provide efficient and effective connection service to trave...
Emerging on-demand sharing alternatives, in which one resource is utilised simultaneously by a circu...
Effective public transportation pricing strategies are critical to reducing traffic congestion and m...
In a mature market, telecommunication operators try to differentiate themselves by marketing bundles...
Purpose of this paperRevenue management has been vastly used in different modes of passenger and fre...
Over the last decade, platforms have emerged in numerous industries and often transformed them, posi...
We consider the situation where multiple transportation service providers cooperate to offer an inte...
The success of carsharing as a new and more sustainable way of travel is moving private car ownershi...
Abstract: We present a distributed learning algorithm for optimizing transit prices in the inter-dom...
We present a distributed learning algorithm for optimizing transit prices in the inter-domain routin...
We study whether the efficiency of the taxi industry can be improved by introducing price negotiati...
Pricing measures (e.g., a kilometre charge or cordon toll) are used to improve the external effects ...
ISBN 978-3-540-72708-8International audienceWe present both a game theoretic and a distributed algor...
The traveling salesman problem and its variants are among the most studied problems in the literatur...
This paper examines different car-sharing models offered by ride-hailing firms. In the traditional m...
A great challenge of city planners is to provide efficient and effective connection service to trave...
Emerging on-demand sharing alternatives, in which one resource is utilised simultaneously by a circu...
Effective public transportation pricing strategies are critical to reducing traffic congestion and m...
In a mature market, telecommunication operators try to differentiate themselves by marketing bundles...
Purpose of this paperRevenue management has been vastly used in different modes of passenger and fre...
Over the last decade, platforms have emerged in numerous industries and often transformed them, posi...