scholarly journals Developement of Dynamic On-Ramp Traffic Control Model for Urban Expressway Network

1995 ◽  
Vol 12 ◽  
pp. 757-768
Author(s):  
Yasunori IIDA ◽  
Ju-Hyun KIM ◽  
Nobuhiro UNO
Keyword(s):  
Traffic Control ◽  
Control Model ◽  
Urban Expressway

Translating the Air Traffic Control Model

2017 ◽  
pp. 39-57
Author(s):  
Leon Starr ◽  
Andrew Mangogna ◽  
Stephen Mellor
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Control Model ◽  
Air Traffic

scholarly journals Research on an intelligent traffic congestion control model

2021 ◽  
Vol 336 ◽  
pp. 07001
Author(s):  
Bo Xu ◽  
Jianbing Chen ◽  
Wei Tang
Keyword(s):  
Congestion Control ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Control Model ◽  
Status Quo ◽  
Key Technology ◽  
Related Research ◽  
The Status ◽  
Traffic Congestion Control

This paper summarizes the status quo of intelligent traffic congestion control and vehicle following on traffic road, puts forward the key technology model and its content of intelligent traffic control, elaborates the model and content in detail, and summarizes the research done, hoping to provide reference for the related research on intelligent traffic congestion control.

scholarly journals Development of Traffic Simlation for Evaluation of Traffic Control Mesure on Urban Expressway

2003 ◽  
Vol 20 ◽  
pp. 531-538
Author(s):  
Masashi OKUSHIMA ◽  
Takefumi OHKUBO ◽  
Takehiko DAITO
Keyword(s):  
Traffic Control ◽  
Urban Expressway

Study on Performance Measurement of Beijing Urban Expressway Based on Microwave Data

2014 ◽  
Vol 505-506 ◽  
pp. 1014-1022
Author(s):  
Yao Wang ◽  
Chang Qiao Shao
Keyword(s):  
Performance Measurement ◽  
Traffic Control ◽  
High Speed ◽  
Transition Probability ◽  
Traffic Data ◽  
High Speed Flow ◽  
Low Speed ◽  
Traffic Conditions ◽  
Urban Expressway ◽  
Speed Flow

The research provides an occupancy-based performance measurement for Beijing urban expressway traffic that would be beneficial for further improvement of traffic control. An analysis of the field traffic data shows that the phenomenon of speed transition happens frequently once occupancy reaches to the critical occupancy (30%). Analyzed with speed transition probability and state stability at different occupancy and speed, four traffic states could be defined as stable high-speed flow, unstable high-speed flow, unstable low-speed flow and stable low-speed flow. The performance of each traffic state is measured by transportation efficiency. The result shows that once occupancy changes from 30% to 31%, transportation efficiency drop 27.8%, representing an extra 1/4 time cost for all vehicles on road. Therefore lane occupancy should be controlled under 30% to avoid a deteriorating traffic conditions.

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