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Transcript
Using Information Technology to Reduce
Traffic Jam in a Highly Traffic Congested City
Sayed Ahmed and Rasit Eskicioglu
We propose a cost effective and practical
model to reduce traffic jam in a highly
congested city, using four approaches:
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Simulation
Sensor Networks
Real-Time Website Based Management
Data Mining Approach
Simulation
Steps using this approach:
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Define a simulation model
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Parameter distribution
Experimental design
Define output variables
Run simulations
Analyze simulation output
Find an optimal schedule for the vehicles
Sensor Networks
Steps using this approach:
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Recommend hardware/software platform
Identify a solution for:
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Vehicle detection
Sensor deployment
Power saving
Topology of the network over the city
Detecting jammed and free areas
Determine how to use sensor data to reduce a
traffic jam
Real Time Website Management
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Integrated with sensor network
Shows schedules of all vehicles
Shows current traffic status
Provides congestion free shortest path
Data Mining
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Analyze sensor data to re-schedule vehicles
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Find causes and characteristics of a traffic jam
Use cluster data mining
Use classification data mining
Use data mining software
Incident Management
Traffic signal timing plans
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Hierarchical cluster data mining
Work in Progress
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Develop a simulation software
Develop a prototype sensor network
Develop a real-time web site
Apply data mining techniques to the data
collected from the prototype system
Analyze socio-economic factors, including the
influence of the system to people
A technical and financial feasibility study