Link Travel Time Estimation Model Fusing Data from Mobile and Stationary Detector Based on BP Neural Network
Real-time transportation information is the foundation and ensure of dynamic route guidance system. Stationary sensors detecting precision is high. But because stationary sensors only can detect point information of links, stationary sensors maturity degree is bad. On account of mobile sensors detecting links livelong transportation information, mobile sensors maturity degree is high. However because of GPS data’s errors and probe vehicles randomness mobile sensors’ detecting precision is bad. Considering colligating the mobile and stationary sensors advantage, this paper proposes a new mobile and stationary sensor fusion model based on BP neural network to improve the accuracy and maturity degree of estimating travel time. The model consists of three modules: (1) mobile detecting module which measure first part, second part and third part travel time over a link using taxis equipped with differential global positioning system receivers; (2) loop detecting module which measure travel time using fixed detectors fixed in roads and traffic signal timing parameters; and (3) data fusion module which uses a neural network to combine outputs from the above two modules to improve the travel time estimation accuracy. This models inputs respectively are: travel time detected by mobile sensors, travel time detected by stationary sensors, mobile sensors density in the link and stationary sensors density in the link. This models output is the link’s travel time. To validate the validity of this model, this paper presents the test of this model using a great deal of real data in Guangzhou city. The result indicates that this model is valid.
Zou Liang Zhu Ling-xiang
College of Architecture and Civil Engineering Shenzhen University Shenzhen, Guangdong, China Department of Applied Mathematics, College of Science South China Agricultural University Guangzhou,
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
2146-2149
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）