Ridesharing has great potential to improve transportation efficiency while reducing congestion and pollution. To realize this potential, mechanisms are needed that allocate vehicles optimally and provide the right incentives to riders. However, many existing approaches consider restricted settings (e.g., only one rider per vehicle or a common origin for all riders). Moreover, naive applications of standard approaches, such as the Vickrey-Clarke-Groves or greedy mechanisms, cannot achieve a polynomial-time, truthful, individually rational and budget balanced mechanism. To address this, we formulate a general ridesharing problem and apply mechanism design to develop a novel mechanism which satisfies all four properties and whose social cost i...
Artículo de publicación ISIIt is estimated that 76% of commuters are driving to work alone while eac...
Final ReportTraffic congestion has become a serious issue around the globe, partly owing to single-o...
Abstract — Recently, ridesharing mobile applications, which dynamically match passengers to drivers,...
University Transportation Centers Programhttps://dx.doi.org/10.7302/10552021PDFTech ReportMasoud, Ne...
This paper proposes a novel market-based system for ridesharing, where commuters are matched based o...
Ridesharing is a promising approach for reducing congestion and pollution, and many variants have be...
Ride-sharing or vehicle-pooling allows commuters to team up spontaneously for transportation cost sh...
Americans take 11 billion trips annually on public transportation, a 40 percent increase since 1995 ...
Mobile internet technologies have sparked a multitude of opportunities for people to interact with o...
Ride-sharing services are transforming urban mobility by providing timely and convenient transportat...
Summarization: In this work, we adopt a cooperative game theoretic approach in order to tackle the s...
A great challenge of city planners is to provide efficient and effective connection service to trave...
In this work, we propose a Game Theory-based pricing solution to the ridesharing problem of taxi com...
Abstract — Recently, ridesharing mobile applications, which dynamically match passengers to drivers,...
— Recently, ridesharing mobile applications, which dynamically match passengers to drivers, have beg...
Artículo de publicación ISIIt is estimated that 76% of commuters are driving to work alone while eac...
Final ReportTraffic congestion has become a serious issue around the globe, partly owing to single-o...
Abstract — Recently, ridesharing mobile applications, which dynamically match passengers to drivers,...
University Transportation Centers Programhttps://dx.doi.org/10.7302/10552021PDFTech ReportMasoud, Ne...
This paper proposes a novel market-based system for ridesharing, where commuters are matched based o...
Ridesharing is a promising approach for reducing congestion and pollution, and many variants have be...
Ride-sharing or vehicle-pooling allows commuters to team up spontaneously for transportation cost sh...
Americans take 11 billion trips annually on public transportation, a 40 percent increase since 1995 ...
Mobile internet technologies have sparked a multitude of opportunities for people to interact with o...
Ride-sharing services are transforming urban mobility by providing timely and convenient transportat...
Summarization: In this work, we adopt a cooperative game theoretic approach in order to tackle the s...
A great challenge of city planners is to provide efficient and effective connection service to trave...
In this work, we propose a Game Theory-based pricing solution to the ridesharing problem of taxi com...
Abstract — Recently, ridesharing mobile applications, which dynamically match passengers to drivers,...
— Recently, ridesharing mobile applications, which dynamically match passengers to drivers, have beg...
Artículo de publicación ISIIt is estimated that 76% of commuters are driving to work alone while eac...
Final ReportTraffic congestion has become a serious issue around the globe, partly owing to single-o...
Abstract — Recently, ridesharing mobile applications, which dynamically match passengers to drivers,...