An Optimal Ride Sharing Recommendation Framework for Carpooling Services

Carpooling services allow drivers to share rides with other passengers. This helps in reducing the passengers' fares and time, as well as traffic congestion and increases the income for drivers. In recent years, several carpooling-based recommendation systems have been proposed. However, most o...

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Bibliographic Details
Published in:IEEE access 2018, Vol.6, p.62296-62313
Main Authors: Qadir, Hajra, Khalid, Osman, Khan, Muhammad U. S., Khan, Atta Ur Rehman, Nawaz, Raheel
Format: Article
Language:English
Subjects:
Car pools
Driving conditions
Heuristic algorithms
Incentives
information filtering
Passengers
Pricing
Public transportation
Real-time systems
Recommender systems
Schedules
System effectiveness
Taxicabs
Time lag
Traffic congestion
Transportation system
Vehicle dynamics
Vehicles
vehicular recommendation
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Summary:Carpooling services allow drivers to share rides with other passengers. This helps in reducing the passengers' fares and time, as well as traffic congestion and increases the income for drivers. In recent years, several carpooling-based recommendation systems have been proposed. However, most of the existing systems do no effectively balance the conflicting objectives of drivers and passengers. We propose a highest aggregated score vehicular recommendation (HASVR) framework that recommends a vehicle with highest aggregated score to the requesting passenger. The aggregated score is based on parameters, namely: a) average time delay; b) vehicle's capacity; c) fare reduction; d) driving distance; and e) profit increment. We propose a heuristic that balances the incentives of both drivers and passengers keeping in consideration their constraints and the real-time traffic conditions. We evaluated HASVR with a real-world data set that contains GPS trace data of 61,136 taxicabs. Evaluation results confirm the effectiveness of HASVR compared with existing scheme in reducing the total mileage used to deliver all passengers, reducing the passengers' fare, increasing the profit of drivers, and increasing the percentage of satisfied ride requests.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2876595