Virtual Gate Traffic Signals Using Mobile Location Authorization
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Solution Overview
Problem
Existing traffic management systems struggle to selectively control and restrict traffic flow at intersections based on vehicle or user identity and location, leading to inefficiencies and unauthorized access.
Innovation Solution
A system integrating traffic signals, dynamic message signs, and a computing network to adaptively control traffic flow by restricting certain directions and allowing authorized traffic, using geofences, sensors, and mobile device communication to manage access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional traffic signal systems are used, then traffic flow is controlled in a fixed manner, but the system cannot selectively restrict or allow traffic based on vehicle identity or location
Solution Approach 1:
The traffic signal system is enhanced with multi-functional capabilities by integrating vehicle detection sensors, communication modules, and computing networks. The system can perform both traditional fixed-time traffic control and adaptive selective control based on vehicle identity, location, and authorization status, allowing one system to serve multiple traffic management functions.
Solution Approach 2:
A computing network acts as an intermediary between the traffic signal system and mobile devices/vehicles. This intermediary processes vehicle identification data, determines authorization status, and communicates control decisions back to the traffic signals, enabling selective traffic control without directly modifying the core signal hardware.
2Reliability
If traffic restriction based on identity and location is implemented, then unauthorized access is prevented, but the system requires complex communication and detection infrastructure
Solution Approach 1:
Vehicles are equipped with mobile devices that automatically transmit their identity and location information to the traffic signal system. The system automatically determines authorization status and issues appropriate control signals without requiring manual intervention or complex verification procedures, making the access control process self-service oriented.
Solution Approach 2:
The system implements continuous feedback loops where sensors detect vehicle presence, the computing network processes authorization data, and traffic signals provide real-time feedback to control vehicle access. This feedback mechanism ensures reliable authorization verification while streamlining the communication infrastructure through automated decision-making.
3Productivity
If adaptive traffic control using mobile device location is used, then traffic flow efficiency is improved, but the system requires integration of multiple communication components
Solution Approach 1:
The system merges multiple communication components including sensors, dynamic message signs, traffic signals, and mobile device communication into a unified traffic management platform. This integrated approach allows the system to efficiently process location data and control traffic flow while reducing the operational complexity of managing separate communication systems.
Data Source
AI summary
A system for adaptively controlling traffic control devices having a traffic signal system, a computing network, and a communication system is configured to restrict traffic in one or more directions through a junction and to selectively allow traffic through the restricted directions based, in part, on an identity or action of certain traffic. The traffic signal system is configured to be in communication with the computing network through the communication system. The mobile device is also configured to be in communication with the computing network through the communication system. Then the computing network adaptively controls the traffic signal system using a location of the mobile device.