17542469. DYNAMIC TRAFFIC SIGNAL OPTIMIZATION USING RECEIVED VEHICLE INFORMATION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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DYNAMIC TRAFFIC SIGNAL OPTIMIZATION USING RECEIVED VEHICLE INFORMATION

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Lior Aronovich of Thornhill (CA)

Stephen Haertel of Ajax (CA)

DYNAMIC TRAFFIC SIGNAL OPTIMIZATION USING RECEIVED VEHICLE INFORMATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17542469 titled 'DYNAMIC TRAFFIC SIGNAL OPTIMIZATION USING RECEIVED VEHICLE INFORMATION

Simplified Explanation

The patent application describes a system for optimizing traffic signal control based on the wait time of incoming lanes. Here are the key points:

  • The system identifies a set of lanes near a traffic signal that can receive a go-signal.
  • It calculates a prioritized overall wait time for each lane.
  • The system selects lanes to receive the go-signal based on their prioritized wait time.
  • It calculates the amount of time needed for the go-signal based on the number of vehicles in the selected lanes.
  • The go-signal is presented to the selected lanes, including non-conflicting lanes.
  • The system collects metrics, such as vehicle throughput, to determine the time allocation for the next go-signal iteration.
  • It updates parameters for the prioritized wait time and initiates the next iteration of the traffic signal.

Potential applications of this technology:

  • Traffic management systems in cities and urban areas.
  • Intelligent transportation systems for highways and major roadways.
  • Intersection control systems to optimize traffic flow.

Problems solved by this technology:

  • Inefficient traffic signal control leading to congestion and delays.
  • Lack of coordination between traffic signals causing traffic bottlenecks.
  • Inability to adapt traffic signal timing based on real-time traffic conditions.

Benefits of this technology:

  • Improved traffic flow and reduced congestion.
  • Reduced travel times and delays for drivers.
  • Enhanced safety at intersections.
  • More efficient use of road infrastructure.
  • Potential for integration with smart city initiatives.


Original Abstract Submitted

A set of incoming lanes are identified within a pre-determined proximity of a traffic signal as candidate lanes to receive a go-signal from the traffic signal. A prioritized overall lane wait time is calculated for each incoming lane. Selected lanes receive the go-signal in the current iteration, based on the prioritized overall lane wait time. An amount of time to allocate to the go-signal is calculated, based on the number of vehicles to flush from the selected lanes. The go-signal is presented to the selected lanes for the allocated time, including non-conflicting lanes. A set of metrics are collected including throughput of vehicles leaving the pre-determined proximity of the traffic signal. Based on the metrics, a time allocation is determined for the next iteration of the go-signal, parameters are updated for the prioritized overall lane wait time, and the next iteration of the traffic signal is initiated.