Dynamic Traffic Signal Optimization Using Vehicle Detection
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Solution Overview
Problem
Current traffic signal management relies on static timing programs that fail to respond dynamically to changing traffic conditions, leading to inefficient traffic flow, unnecessary delays, and frustration for drivers and passengers.
Innovation Solution
A computer-implemented process that uses one or more processors to detect vehicles within a predetermined proximity of a traffic signal, calculate prioritized overall lane wait times, and dynamically allocate go-signal times based on vehicle congestion and priority, thereby optimizing traffic flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static timing programs are used for traffic signals, then the system is simple and reliable, but traffic flow efficiency deteriorates due to inability to respond to dynamic changes
Solution Approach 1:
The traffic signal system transitions from static timing programs to dynamic control by continuously detecting vehicle presence and calculating prioritized wait times. The signal timing is adjusted in real-time based on current traffic conditions, allowing the system to adapt to changing demands while maintaining operational simplicity through automated processor-based control.
Solution Approach 2:
The system implements feedback by detecting vehicle information through sensors, calculating lane wait times, and using this data to dynamically adjust signal timing. The processor continuously monitors traffic conditions and modifies signal phases accordingly, creating a closed-loop control system that responds to actual traffic demand rather than relying on predetermined static schedules.
2Loss of time
If static timing programs are used for traffic signals, then the system is easy to operate, but wait times for vehicles increase due to lack of responsiveness
Solution Approach 1:
The traffic signal system performs self-service by automatically detecting vehicle presence, calculating prioritized wait times, and adjusting signal timing without human intervention. The processor-based system autonomously optimizes traffic flow by responding to real-time conditions, eliminating the need for manual timing adjustments while reducing vehicle wait times through dynamic adaptation.
3Productivity
If dynamic vehicle detection and calculation of prioritized lane wait times is implemented, then traffic flow optimization improves, but system complexity increases
Solution Approach 1:
The processor-based control system performs multiple functions including vehicle detection, wait time calculation, signal phase determination, and timing optimization. By consolidating these diverse functions into a single multi-functional control unit, the system achieves sophisticated traffic flow optimization without proportionally increasing overall system complexity.
Solution Approach 2:
The system replaces complex mechanical timing mechanisms with electronic processor-based control. Instead of using mechanical clocks and switches for signal timing, the invention uses electronic sensors and digital processors to detect vehicles and calculate optimal timing, simplifying the physical infrastructure while enabling dynamic optimization capabilities.
4Loss of time
If dynamic allocation of go-signal times based on vehicle congestion is implemented, then overall wait times are reduced, but measurement and detection requirements increase
Solution Approach 1:
The system merges vehicle detection, wait time calculation, and signal control into an integrated processor-based system. By combining these functions, the system reduces overall complexity despite increased detection requirements, as the same processing unit that detects vehicles also performs the calculations and control decisions, eliminating the need for separate dedicated systems for each function.
Data Source
AI summary
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.