Sap Se

Zhongcun Wang

Qiwei Zhang

Ye Jin

Jing Liu

Daihui Zhu

Yongxun Li

Frank Spruenken

Described herein is a framework for optimal demand-based allocation. In accordance with one aspect of the framework, trip data is extracted from vehicle operation data received from one or more vehicle data devices servicing a region of interest. Vehicle demands for multiple tiles of the region of interest and mutual travel times between neighboring tiles are estimated based at least in part on the trip data. A set of candidate tiles for allocating vehicle stations may then be determined by minimizing total travel time based on the mutual travel times and vehicle demands.

Optimal demand-based allocation

A framework for origin-destination (OD) analysis of vehicle trajectory data is described herein. In accordance with one aspect, a vehicle trajectory dataset is provided to an OD analyzer. The vehicle trajectory dataset includes vehicle trajectory data collected from a sensor network having a plurality of sensor stations for detecting vehicles. The sensor stations of the sensor network are distributed in a geographical area of interest, where the vehicle trajectory data include trajectories of vehicles captured by the sensor network. The vehicle trajectory dataset may be analyzed by the OD analyzer to determine an origin and a destination of trips for trajectories of the vehicles in the vehicle trajectory dataset. The analysis includes calculating a probability distribution of travel time between sensor pairs of the sensor network of a number of (dropped-out) intermediate stations, and determining a stop probability between a station pair in the trajectories of the vehicles, where a stop is a destination of a previous trip and an origin of a next trip in the trajectories.

Origin destination estimation based on vehicle trajectory data

Growing community of inventors

Nanjing, China

Zhongcun Wang