Vehicle Speed Estimation and Forecasting Methods Based on Cellular Floating Vehicle Data
AbstractTraffic information estimation and forecasting methods based on cellular floating vehicle data (CFVD) are proposed to analyze the signals (e.g., handovers (HOs), call arrivals (CAs), normal location updates (NLUs) and periodic location updates (PLUs)) from cellular networks. For traffic information estimation, analytic models are proposed to estimate the traffic flow in accordance with the amounts of HOs and NLUs and to estimate the traffic density in accordance with the amounts of CAs and PLUs. Then, the vehicle speeds can be estimated in accordance with the estimated traffic flows and estimated traffic densities. For vehicle speed forecasting, a back-propagation neural network algorithm is considered to predict the future vehicle speed in accordance with the current traffic information (i.e., the estimated vehicle speeds from CFVD). In the experimental environment, this study adopted the practical traffic information (i.e., traffic flow and vehicle speed) from Taiwan Area National Freeway Bureau as the input characteristics of the traffic simulation program and referred to the mobile station (MS) communication behaviors from Chunghwa Telecom to simulate the traffic information and communication records. The experimental results illustrated that the average accuracy of the vehicle speed forecasting method is 95.72%. Therefore, the proposed methods based on CFVD are suitable for an intelligent transportation system. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Lai, W.-K.; Kuo, T.-H.; Chen, C.-H. Vehicle Speed Estimation and Forecasting Methods Based on Cellular Floating Vehicle Data. Appl. Sci. 2016, 6, 47.
Lai W-K, Kuo T-H, Chen C-H. Vehicle Speed Estimation and Forecasting Methods Based on Cellular Floating Vehicle Data. Applied Sciences. 2016; 6(2):47.Chicago/Turabian Style
Lai, Wei-Kuang; Kuo, Ting-Huan; Chen, Chi-Hua. 2016. "Vehicle Speed Estimation and Forecasting Methods Based on Cellular Floating Vehicle Data." Appl. Sci. 6, no. 2: 47.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.