Abstract: A position selecting method of a U-turn median opening at a signalized intersection under the influence of traffic flow compositions. In the process of determining the traffic capacity of a left-turn lane, different influences of various vehicle arrival modes on the utilization rate of the left-turn green light and the utilization rate of the U-turn green light are analyzed. A method for the traffic capacity of the left-turn lane with the U-turn median opening at a signalized intersection in combination with traffic management demands and traffic flow space-time characteristics is provided, so that the traffic capacity of the left-turn lane under the influence of actual traffic flow compositions is calculated more accurately.

Abstract: The present invention relates to a collaborative optimization method for bus timetables based on big data, which belongs to the technical field of urban bus operation and management. Bus GPS data, IC card data and line station data are fused together to provide real-time operation data for the formulation of bus timetables, and a bus timetable optimization model considering transfer between buses and rail transit lines is proposed. In the model, by taking the departure interval of each time period as a decision variable and taking the minimum total system cost as an objective function, the waiting time cost of non-transfer passengers, the waiting time cost of transfer passengers, and the operation cost of bus operation enterprises are comprehensively considered. By means of the present invention, passenger flow data are acquired through multisource data fusion, a large number of manpower is saved, and the accuracy of data is increased.