A Road Network Traffic State Identification Method Based on Macroscopic Fundamental Diagram and Spectral Clustering and Support Vector Machine
Accurate identification of road network traffic status is the key to improve the efficiency of urban traffic control and management. Both data mining method and MFD-based methods can divide the traffic state of road network, but each has its own advantages and disadvantages. The data mining method i...
Main Author: | Xiaohui Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/6571237 |
Similar Items
-
Macroscopic Fundamental Diagram based Road Network Characteristics Identification and Simulation
by: Yu Yi, et al.
Published: (2020-01-01) -
Determining the Macroscopic Fundamental Diagram from Mixed and Partial Traffic Data
by: Yangbeibei Ji, et al.
Published: (2018-06-01) -
Using the Macroscopic Fundamental Diagram to Characterize the Traffic Flow in Urban Network
by: Ahmed, Istiak
Published: (2017) -
Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic information
by: Kun WANG, et al.
Published: (2020-03-01) -
Simulation and comparison of two fusion methods for macroscopic fundamental diagram estimation
by: Xiaohui Lin, et al.
Published: (2019-09-01)