Cloud Speed Enforcement Coordination for Faster Vehicle Citation
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Solution Overview
Problem
Existing traffic speed enforcement methods are prone to inefficiencies and miscommunication between spotter and chase officers, leading to delays and increased chances of violators evading citations.
Innovation Solution
A cloud-based cooperative speed enforcement system utilizing a spotter system on a smartphone to capture and transmit vehicle speed and image data to chase officers, enabling automated citation generation and coordinated pursuit through a centralized database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual coordination between spotter and chase officers is used, then device complexity is low, but communication efficiency deteriorates due to miscommunication and delays
Solution Approach 1:
A centralized cloud-based database serves as an intermediary system that receives data from spotter officers and automatically distributes it to appropriate chase officers. This intermediary eliminates direct manual coordination between spotter and chase officers, reducing miscommunication while managing system complexity through automated data routing and officer matching algorithms.
Solution Approach 2:
The patent replaces manual mechanical communication methods (radio calls, verbal descriptions) with an automated electronic system that uses databases, algorithms, and digital messaging. This substitution eliminates human error in communication while the system manages complexity through standardized digital protocols and automated processing.
2Loss of time
If manual verification of target vehicle identity is performed, then measurement precision is maintained, but time consumption increases due to delays in citation process
Solution Approach 1:
The system performs preliminary actions by pre-establishing officer availability status, pre-organizing chase vehicles, and pre-preparing citation templates in the database. When a speeding incident occurs, the system quickly matches available officers with target vehicles and automatically generates citations, eliminating delays while maintaining identification accuracy through automated data verification.
Solution Approach 2:
The system implements feedback mechanisms where chase officers receive real-time notifications about target vehicles, and the system continuously updates on citation status. This feedback loop ensures that identification accuracy is maintained while reducing time loss through automated status tracking and immediate action initiation.
3Adaptability or versatility
If multiple chase vehicles are coordinated manually, then adaptability is maintained, but coordination complexity increases leading to resource waste
Solution Approach 1:
The system dynamically adapts to different chase scenarios by automatically determining which chase vehicles are needed based on real-time data from spotter officers. The database dynamically assigns available officers to appropriate targets based on location, vehicle type, and urgency, maintaining flexibility while reducing coordination complexity through automated decision-making algorithms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the efficiency of traffic speed enforcement by reducing miscommunication and delays, ensuring violators are accurately identified and cited, and optimizing resource use among chase officers.
Implementation Method 1
A speed detection system operating on a processor and configured to generate target vehicle speed information, such as a radar or Lidar speed detection system
Implementation Method 2
A speed detection system operating on a processor and configured to generate target vehicle speed information, such as a radar or Lidar speed detection system
Data Source
AI summary
A system for processing law enforcement data, including a speed detection system operating on a processor and configured to generate target vehicle speed information, a spotter system operating on a second processor, the spotter system configured to receive the target vehicle speed information and generating notification data and one or more chase system, each operating on an associated third processor, each chase system configured to receive the notification data and to identify a target vehicle associated with the notification data.