Authors:
Mow Fei Kim
and
Hamidah Ibrahim
Affiliation:
Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia
Keyword(s):
Ridesharing, Hard Constraints, Soft Constraints, Recommendation System.
Abstract:
Ridesharing, the act or practice of sharing automobile trips, has now becoming very popular due to many benefits it provides not only to the society, economic but also the environment. There are several ridesharing frameworks and applications being proposed, however in identifying a ridesharing group consisting of a driver and passengers (also known as riders), most of these solutions rely on the hard constraints which include timeslot (departure and arrival), location (departure and arrival), and capacity of the vehicle. Since these people will be sharing a ride together and they are strangers to each other, it is important to consider their preferences in identifying an ideal group. These preferences, called soft constraints in this paper, include among others race, age group, gender, non-smoking, etc. This is for assuring a pleasant, cosy, and most importantly a safe journey. Hence, this paper proposes a ridesharing recommendation framework that aims at identifying an ideal group
by considering both the hard and the soft constraints. The framework is then embedded into a mobile application prototype, named SAGE, which aims to provide a safe, available, green, and economical ridesharing service.
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