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Sinopsis
Dynamic ridesharing is a profitable way to reduce traffic and carbon emissions by providing an opportunity for a flexible and affordable service that utilizes vehicle seating space. Matching of ride seeker requests with the rides, distributed over the roads is a tedious work. While fulfilling the request of all passengers, the total travel distance of the trip may get increased. Therefore, this book proposes an optimal dynamic ridesharing system which matches rides and requests in real time by satisfying multiple participant constraints (e.g. time bounds, availability of empty seat, maximum allowed deviation distance and minimized route ride) to minimize the total travel distance. To efficiently match ride givers and riders we are proposing a novel dynamic ride matching algorithm MRB (Minimal route bi-searching algorithm) considering all above mentioned constraints. We demonstrate working of our algorithm by developing a prototype and evaluated our system on GPS (Global positioning system) trajectories of Lahore city dataset. Evaluated results are compared with existing algorithms which shows that our system significantly reduces the travel distance and computation cost.
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Reseña del editor
Dynamic ridesharing is a profitable way to reduce traffic and carbon emissions by providing an opportunity for a flexible and affordable service that utilizes vehicle seating space. Matching of ride seeker requests with the rides, distributed over the roads is a tedious work. While fulfilling the request of all passengers, the total travel distance of the trip may get increased. Therefore, this book proposes an optimal dynamic ridesharing system which matches rides and requests in real time by satisfying multiple participant constraints (e.g. time bounds, availability of empty seat, maximum allowed deviation distance and minimized route ride) to minimize the total travel distance. To efficiently match ride givers and riders we are proposing a novel dynamic ride matching algorithm MRB (Minimal route bi-searching algorithm) considering all above mentioned constraints. We demonstrate working of our algorithm by developing a prototype and evaluated our system on GPS (Global positioning system) trajectories of Lahore city dataset. Evaluated results are compared with existing algorithms which shows that our system significantly reduces the travel distance and computation cost.
Biografía del autor
Samia Arshad is a software engineer,she has completed her MS from Comsats institute of information technology lahore in 2014. Has published her article in Journal of Applied Environmental and Biological Sciences in 2014. Currently working as a lecturer in COMSATS Lahore. She has a great interest in resolving real world computing problems.
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A New Method for Optimization of Dynamic Ride Sharing System
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LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659756652
ISBN 13: 9783659756658
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A New Method for Optimization of Dynamic Ride Sharing System
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LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659756652
ISBN 13: 9783659756658
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A New Method for Optimization of Dynamic Ride Sharing System
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LAP Lambert Academic Publishing, 2015
ISBN 10: 3659756652
ISBN 13: 9783659756658
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 128 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 26053529/1
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A New Method for Optimization of Dynamic Ride Sharing System
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LAP Lambert Academic Publishing Aug 2015, 2015
ISBN 10: 3659756652
ISBN 13: 9783659756658
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dynamic ridesharing is a profitable way to reduce traffic and carbon emissions by providing an opportunity for a flexible and affordable service that utilizes vehicle seating space. Matching of ride seeker requests with the rides, distributed over the roads is a tedious work. While fulfilling the request of all passengers, the total travel distance of the trip may get increased. Therefore, this book proposes an optimal dynamic ridesharing system which matches rides and requests in real time by satisfying multiple participant constraints (e.g. time bounds, availability of empty seat, maximum allowed deviation distance and minimized route ride) to minimize the total travel distance. To efficiently match ride givers and riders we are proposing a novel dynamic ride matching algorithm MRB (Minimal route bi-searching algorithm) considering all above mentioned constraints. We demonstrate working of our algorithm by developing a prototype and evaluated our system on GPS (Global positioning system) trajectories of Lahore city dataset. Evaluated results are compared with existing algorithms which shows that our system significantly reduces the travel distance and computation cost. 128 pp. Englisch. Nº de ref. del artículo: 9783659756658
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A New Method for Optimization of Dynamic Ride Sharing System
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LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659756652
ISBN 13: 9783659756658
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Arshad SamiaSamia Arshad is a software engineer,she has completed her MS from Comsats institute of information technology lahore in 2014. Has published her article in Journal of Applied Environmental and Biological Sciences in 2014. Nº de ref. del artículo: 158247436
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A New Method for Optimization of Dynamic Ride Sharing System
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LAP Lambert Academic Publishing, 2015
ISBN 10: 3659756652
ISBN 13: 9783659756658
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dynamic ridesharing is a profitable way to reduce traffic and carbon emissions by providing an opportunity for a flexible and affordable service that utilizes vehicle seating space. Matching of ride seeker requests with the rides, distributed over the roads is a tedious work. While fulfilling the request of all passengers, the total travel distance of the trip may get increased. Therefore, this book proposes an optimal dynamic ridesharing system which matches rides and requests in real time by satisfying multiple participant constraints (e.g. time bounds, availability of empty seat, maximum allowed deviation distance and minimized route ride) to minimize the total travel distance. To efficiently match ride givers and riders we are proposing a novel dynamic ride matching algorithm MRB (Minimal route bi-searching algorithm) considering all above mentioned constraints. We demonstrate working of our algorithm by developing a prototype and evaluated our system on GPS (Global positioning system) trajectories of Lahore city dataset. Evaluated results are compared with existing algorithms which shows that our system significantly reduces the travel distance and computation cost. Nº de ref. del artículo: 9783659756658
Cantidad disponible: 1 disponibles
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A New Method for Optimization of Dynamic Ride Sharing System
Publicado por
LAP Lambert Academic Publishing Aug 2015, 2015
ISBN 10: 3659756652
ISBN 13: 9783659756658
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Dynamic ridesharing is a profitable way to reduce traffic and carbon emissions by providing an opportunity for a flexible and affordable service that utilizes vehicle seating space. Matching of ride seeker requests with the rides, distributed over the roads is a tedious work. While fulfilling the request of all passengers, the total travel distance of the trip may get increased. Therefore, this book proposes an optimal dynamic ridesharing system which matches rides and requests in real time by satisfying multiple participant constraints (e.g. time bounds, availability of empty seat, maximum allowed deviation distance and minimized route ride) to minimize the total travel distance. To efficiently match ride givers and riders we are proposing a novel dynamic ride matching algorithm MRB (Minimal route bi-searching algorithm) considering all above mentioned constraints. We demonstrate working of our algorithm by developing a prototype and evaluated our system on GPS (Global positioning system) trajectories of Lahore city dataset. Evaluated results are compared with existing algorithms which shows that our system significantly reduces the travel distance and computation cost.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. Nº de ref. del artículo: 9783659756658
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