Title
How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network
Abstract
Customized path-based speed prediction is an eventful tool for congestion avoidance, route optimization and travel time prediction for navigation apps, cab-hailing companies and autonomous vehicles. Traditionally, the speed prediction algorithms are based on road segments and can only support several main roads. Path-based speed prediction is very challenging since the speed is always changing in ...
Year
DOI
Venue
2022
10.1109/TITS.2020.3031026
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Computer architecture,Roads,Microprocessors,Feature extraction,Prediction algorithms,Predictive models,Navigation
Journal
23
Issue
ISSN
Citations 
3
1524-9050
1
PageRank 
References 
Authors
0.36
0
5
Name
Order
Citations
PageRank
Hao Yang110.36
Chenxi Liu210.36
Meixin Zhu340.73
Jeff Ban419421.57
Yinhai Wang529239.37