Increasing Traffic Flow through Adaptive Traffic Lights Control

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Increasing Traffic Flow through Adaptive Traffic
Lights Control

• By Johnny Huynh

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1 Adaptable Local Optimization

• Exploit Detectors
• Estimate number of waiting cars
• Estimate number of cars approaching intersection

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2 Approach

• System Cost Function
• Sum of cost function for each car.
• Cost function for each car
• ? StopTimei 2

• Traffic System
• Persistent Number of Cars

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3 System Implementation

• Cars move to destinations based on Djikstras
  shortest path algorithm.

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3 System Implementation

• Cars move to destinations based on Djikstras
  shortest path algorithm.

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3 System Implementation

• Three lanes left, center, and right.
• Length of all the lanes are equal.

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3 System Implementation

• If cannot move to left lane, go to next road
  straight ahead (then find shortest path from
  there).

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3 System Implementation

• Light Switches
• Standard Light -gt Center and Right Lanes
• Left Light -gt Left Lane
• Cars on right lane can only turn when the
  standard light is green.

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4 AI Implementation

• Assign light switch priority based on stop time
  of waiting cars for each specific light switch.

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4 AI Implementation

• Top priority pair of non-conflicting light
  switches.

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4 AI Implementation

• Top priority pair of non-conflicting light
  switches.

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4 AI Implementation

• Duration light stays green - based on number of
  approaching cars for top priority light switch
  from top priority pair.

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4 AI Implementation

• Duration light stays green - based on number of
  approaching cars for top priority light switch
  from top priority pair.

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5 Light Deadlock
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5 Light Deadlock
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5 Light Deadlock
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5 Light Deadlock
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End