Integrating Semantic Zoning Information with the Prediction of Road Link Speed Based on Taxi GPS Data
Road link speed is one of the important indicators for traffic states. In order to incorporate the spatiotemporal dynamics and correlation characteristics of road links into speed prediction, this paper proposes a method based on LDA and GCN. First, we construct a trajectory dataset from map-matched...
Saved in:
| Main Authors: | He Bing, Xu Zhifeng, Xu Yangjie, Hu Jinxing, Ma Zhanwu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/6939328 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data
by: Kaisheng Zhang, et al.
Published: (2017-06-01) -
Development and Validation of Improved Impedance Functions for Roads with Mixed Traffic Using Taxi GPS Trajectory Data and Simulation
by: Fei Zhao, et al.
Published: (2020-01-01) -
Taxi Driver’s Operation Behavior and Passengers’ Demand Analysis Based on GPS Data
by: Xiaowei Hu, et al.
Published: (2018-01-01) -
Use of GPS at research of roads & a vehicle
by: D. V. Mishuta, et al.
Published: (2021-10-01) -
Machine Learning Analysis of Informal Minibus Taxi Driving
by: Cele Nomfundo, et al.
Published: (2024-01-01)