United Kingdom

Taxi fleets and car aggregation systems are an important component of the urban public transportation system. Taxis and cars in taxi fleets and car aggregation systems (e.g., Uber) are dependent on a large number of self-controlled and profit-driven taxi drivers, which introduces inefficiencies in the system. There are two ways in which taxi fleet performance can be optimized: (i) Operational decision making: improve assignment of taxis/cars to customers, while accounting for future demand; (ii) strategic decision making: optimize operating hours of (taxi and car) drivers. Existing research has primarily focused on the operational decisions in (i) and we focus on the strategic decisions in (ii).

AAMAS 2021

Adaptive Operating Hours for Improved Performance of Taxi Fleets

AAMAS is the largest and most influential conference in the area of agents and multiagent systems, bringing together researchers and practitioners in all areas of agent technology and providing and internationally renowned high-profile forum for publishing and finding out about the latest developments in the field. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).  

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technical paper

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Adaptive Operating Hours for Improved Performance of Taxi Fleets

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Adaptive Operating Hours for Improved Performance of Taxi Fleets

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Next from AAMAS 2021

Interpretive Blindness and the Impossibility of Learning from Testimony

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A General Framework for the Logical Representation of Combinatorial Exchange Protocols

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PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads