With the acceleration of China's urbanization construction process and the rapid increase of traveling vehicles, the problem of urban road traffic congestion has become a major problem in urban development. Ride sharing as a way to improve transportation efficiency has extensively researched within the transport domain. This study aimed to develop a model to summarise the key technologies of dynamic taxi sharing and to achieve the dynamic using of ride sharing. Taxi trip information extracted from vehicle trajectory data in HaiKou were considered to evaluate the benefits of ride sharing. Firstly, the concept, characteristics and organization of taxi sharing were described in detail by spatial and temporal analysis of taxi travel. Then, we studied the impact of spatial change of service coverage due to ride sharing. The results suggested that switching from traditional taxis to ride sharing mode can potentially decrease the number of taxi and improve the transportation efficiency while maintaining the taxi service level. Finally, the dynamic taxi sharing optimization algorithm were developed. The experiments showed that the model is more comprehensive and feasible in practice, which can provide the useful strategies for the development of the taxi sharing policy.

CICTP