Traffic Rule Management Using Semantic Map Layers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional traffic management systems are inadequate for enforcing traffic rules, particularly in managing lane violations, due to high false positive detection rates and the lack of specialized personnel and resources for municipalities.
Innovation Solution
A system and method for managing traffic rules using multiple mapping layers, including a semantic map layer generated from positioning data and videos captured by edge devices, a traffic enforcement layer that saves and enforces traffic rules, and a traffic insight layer that adjusts rules based on traffic violations and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If automated camera-based solutions are deployed to enforce traffic violations beyond intersections and crosswalks, then the coverage area for traffic enforcement is expanded, but the false positive detection rate increases to up to eighty percent
Solution Approach 1:
The patent segments the traffic enforcement system into multiple specialized components: edge devices for data collection, semantic map generation modules for contextual understanding, and layered map structures (base map, semantic map, enforcement map) for organized information processing. This segmentation allows each component to focus on specific tasks, improving overall detection accuracy while maintaining wide coverage.
Solution Approach 2:
The patent introduces semantic maps as an intermediary layer between raw camera data and enforcement decisions. These maps provide contextual information about road geometry, lane configurations, and traffic patterns, mediating between the expanded coverage area and accurate violation detection by filtering out false positives through contextual understanding.
2Measurement precision
If traditional traffic enforcement cameras are positioned near crosswalks or intersections, then the detection capability for traffic violations is maintained, but the field of view is limited and cannot capture violations beyond these locations
Solution Approach 1:
The patent creates a universal enforcement system where edge devices mounted on carrier vehicles can be deployed anywhere in the municipality, not just at fixed locations like intersections. The system processes multiple data types (video, positioning, map data) universally to enforce traffic rules across diverse locations including bus lanes, bike lanes, and parking zones throughout the entire service area.
Solution Approach 2:
The patent transitions from two-dimensional fixed camera views at intersections to three-dimensional mobile edge devices that can capture violations throughout the entire municipal area. The multi-layered map structure adds another dimension of spatial organization, enabling comprehensive coverage while maintaining precise violation detection through contextual map matching.
3Reliability
If municipalities dedicate specialized personnel to enforce traffic violations, then the accuracy and reliability of enforcement improves, but the financial cost and resource requirements increase significantly
Solution Approach 1:
The patent implements a self-service enforcement system where the automated edge devices and AI processing perform the enforcement function without requiring specialized human personnel. The system autonomously collects data, generates semantic maps, detects violations, and produces enforcement records, making municipalities independent of expensive specialized staff while maintaining high reliability through multiple verification mechanisms.
Solution Approach 2:
The patent replaces the mechanical system of human enforcement personnel with an automated electronic system comprising edge devices, processors, and AI algorithms. This substitution eliminates the need for specialized personnel while maintaining or improving enforcement reliability through consistent, unbiased automated decision-making based on objective sensor data and map contextualization.
4Reliability
If traffic rules or lane restrictions are implemented to alleviate traffic congestion, then the schedule adherence of public fleet vehicles improves, but vehicles may clog up these lanes to avoid congestion
Solution Approach 1:
The patent implements continuous feedback loops where the system monitors traffic conditions, violation patterns, and schedule adherence metrics in real-time. The traffic insight layer analyzes this data and provides feedback to dynamically adjust enforcement priorities and generate recommendations for rule modifications, allowing the system to respond to emerging congestion patterns and prevent vehicles from clogging restricted lanes while maintaining schedule adherence.
Data Source
AI summary
Disclosed herein are systems and methods for managing traffic rules. In one embodiment, a method of managing traffic rules can comprise generating or updating a semantic map layer based in part on positioning data obtained from one or more edge devices and videos captured by the one or more edge devices. The method can also comprise generating or updating a traffic enforcement layer on top of the semantic map layer. A plurality of traffic rules can be saved as part of the traffic enforcement layer. The method can further comprise generating or updating a traffic insight layer based in part on traffic violations or traffic conditions determined by the one or more edge devices or the server. The traffic insight layer can adjust or provide a suggestion to adjust at least one of the traffic rules based on an impact analysis conducted by the traffic insight layer concerning the traffic rule.