Results 251 to 260 of about 361,441 (286)
Some of the next articles are maybe not open access.
Fuzzy Prediction of Metro Traffic Flow
2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY), 2019With the rapid development of urban metro traffic, the prediction and evacuation of metro pedestrian flow is of great significance to metro traffic scheduling. In this paper, the fuzzy logic method is used to predict and simulate the pedestrian flow of the metro, which is feasible to predict the pedestrian flow of the metro station and provide a ...
Huan Wen, Xuanming Zhao, Xinchao Chen
openaire +1 more source
On the Road: Predicting Traffic
2012Traffic is a problem, and it’s going to get worse. Drivers in Los Angeles can expect to spend about 56 hours a year sitting in jams, while every day traffic jams block around 7,500 km of roads in Europe. In Germany alone in 2012, the year’s total jam length amounted to 450,000 km, equal to the circumference of the Earth plus the distance between Earth ...
openaire +1 more source
The System for Predicting the Traffic Flow with the Real-Time Traffic Information
2006One of the common services of telematics is the car navigation that finds the shortest path from source to target. Until now, some routing algorithms of the car navigation do not consider the real-time traffic information and use the static shortest path algorithm. In this paper, we proposed the method to predict the traffic flow in the future.
Mi-Gyung Cho +2 more
openaire +1 more source
Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
IEEE Transactions on Intelligent Transportation Systems, 2022Yanming Shen, Heng Qi, Baocai Yin
exaly
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
ACM Transactions on Knowledge Discovery From Data, 2023Fuxian Li, Jie Feng, Huan Yan
exaly
Transportation Research Part C: Emerging Technologies, 2022
Collin Meese, Xiaoliang Zhao, Mark Nejad
exaly
Collin Meese, Xiaoliang Zhao, Mark Nejad
exaly
2019
The target in the PRYSTINE project is to realize Fail-operational Urban Surround perceptION (FUSION), which is based on sensor fusion, and control functions in order to enable safe automated driving in urban and rural environments. Estimating the (near) future traffic conditions ahead provides the automated driving controller with enhanced information ...
Palm, Henri +2 more
openaire +1 more source
The target in the PRYSTINE project is to realize Fail-operational Urban Surround perceptION (FUSION), which is based on sensor fusion, and control functions in order to enable safe automated driving in urban and rural environments. Estimating the (near) future traffic conditions ahead provides the automated driving controller with enhanced information ...
Palm, Henri +2 more
openaire +1 more source
Digital Twin-Assisted Real-Time Traffic Data Prediction Method for 5G-Enabled Internet of Vehicles
IEEE Transactions on Industrial Informatics, 2022Chunhua Hu, Weicun Fan, Elan Zen
exaly
Function of Traffic Prediction in Alleviating Traffic Congestion
2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2022Zheng Zhao +3 more
openaire +1 more source
Predictive Line Queries for Traffic Prediction
2012Lasanthi Heendaliya +2 more
openaire +1 more source