This study aims to solve the increasing number of vehicles for ride-sourcing or online taxi service on the road and the operational issues in those services by developing an optimization model of ride-splitting services in the online taxi with a resource sharing (sharing platform) scheme. Ride-splitting service is a ride-sourcing service where one vehicle can serve two or more request customers at a similar time. Meanwhile, the resource-sharing scheme interlinks drivers from different platforms in providing services to the customers. That is, a driver from platform X can serve customers from platform Y and vice versa, with a predetermined profit sharing. We formulate the optimization problem as a new modified weighted bipartite matching and solve the problem using a greedy heuristic method. Based on the simulation, the proposed model can generate higher overall profit for all vehicles serving passengers, use fewer vehicles, and lower passengers’waiting time.
- Greedy Heuristic Method
- Modified Weighted Bipartite Matching
- Resource Sharing Scheme
- Ride Sourcing (Online Taxi) Services
- Ride Splitting Service