Urban Traffic Congestion Detection Based on Clustering Analysis of Real-time Traffic Data

2012 ◽  
Vol 14 (6) ◽  
pp. 775 ◽  
Author(s):  
Xiaoya LU ◽  
Zhihao SONG ◽  
Zhu XU ◽  
Muzi LI ◽  
Ting LI ◽  
...  
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Clustering Analysis ◽  
Urban Traffic ◽  
Traffic Data ◽  
Real Time Traffic ◽  
Congestion Detection

Real-Time Monitoring Unit of Traffic Flow

2012 ◽  
Vol 588-589 ◽  
pp. 1058-1061
Author(s):  
Ting Zhang ◽  
Zhan Wei Song
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Urban Traffic ◽  
Traffic Information ◽  
Real Time Monitoring ◽  
Traffic Lights ◽  
Real Time Traffic ◽  
Transit Use ◽  
Control Traffic

With the sustained growth of vehicle ownerships, traffic congestion has become obstacle of urban development. In addition to developing public transport and accelerating the construction of rail transit, use scientific managing and controlling method in real-time monitoring traffic flow to divert the traffic stream is an effective way to solve urban traffic problems. In this paper, cross-correlation algorithm is used to obtain real-time traffic information, such as capacity and occupancy of a lane, so as to control traffic lights intelligently.

scholarly journals Expressive Real-Time Intersection Scheduling

2019 ◽  
Vol 33 ◽  
pp. 9882-9883
Author(s):  
Rick Goldstein
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Metropolitan Areas ◽  
Control Method ◽  
Traffic Data ◽  
Traffic Lights ◽  
Traffic Conditions ◽  
Real Time Traffic ◽  
Scheduling Strategies ◽  
Negative Impacts

Traffic congestion is a widespread annoyance throughout global metropolitan areas. It causes increases in travel time, increases in emissions, inefficient usage of gasoline, and driver frustration. Inefficient signal patterns at traffic lights are one major cause of such congestion. Intersection scheduling strategies that make real-time decisions to extend or end a green signal based on real-time traffic data offer one opportunity reduce congestion and its negative impacts. My research proposes Expressive Real-time Intersection Scheduling (ERIS). ERIS is a decentralized, schedule-driven control method which makes a decision every second based on current traffic conditions to reduce congestion.

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