Real-time dynamic forecast of truck link travel time
Bai Run-cai · Journal of Liaoning Technical University · 2005
The deficiency of traditional method which is used to build truck link travel time model is analyzed. The theory and method of neural network, and the feasibility and superiority of forecasting the travel time are also discussed. The open mining transportation system of great non-liner relation distinguish from highway traffic system is considered. According to the randomness of truck link travel time, the forecasts of multiple factor is used. The neural network is built, and the non-liner mapping relation between travel time and its influence factors is also described. Thereby the forecasting model of travel time based on neural network is brought forward.