Traffic Routing Algorithm for Pollution Distribution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems fail to effectively address flash crowding and unequal pollution distribution caused by vehicles taking common routes, leading to increased air pollution in specific areas, which harms both the environment and public health.
Innovation Solution
A computationally implemented system and method that processes user-input locations to determine optimal routes with varying edge capacities, identifies maximum traffic flow routes, partitions traffic flow capacity, and generates distributions to reduce vehicular pollution by allowing vehicles to take different routes and times, thereby controlling pollution concentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If drivers follow common and known routes to reach their destination, then travel time and route familiarity are improved, but vehicular concentration and pollution levels increase in specific regions
Solution Approach 1:
The system segments the traffic flow by dividing vehicles into different groups and assigning them to different routes based on real-time pollution levels and traffic conditions. This segmentation prevents flash crowding on single routes and distributes vehicular concentration more evenly across the road network, thereby reducing pollution hotspots while maintaining route familiarity through guided navigation.
Solution Approach 2:
The system dynamically adjusts route recommendations based on real-time data from pollution monitoring stations and traffic sensors. Routes are not static but change adaptively to current environmental conditions, allowing the system to optimize both travel efficiency and pollution distribution by directing traffic away from high-pollution areas while maintaining ease of operation through continuous guidance.
2Productivity
If traffic flow is concentrated on shortest and known routes, then productivity and travel efficiency are improved, but flash crowding and unequal pollution distribution occur
Solution Approach 1:
The system applies local quality by treating different regions of the road network differently based on their specific characteristics. Routes are evaluated and weighted according to local pollution levels, traffic capacity, and environmental sensitivity. This allows traffic to be directed through less congested or less polluted areas when appropriate, maintaining overall travel efficiency while preventing excessive vehicular concentration in specific high-risk zones.
Solution Approach 2:
The system changes the parameters used for route determination by incorporating pollution concentration levels and traffic flow density into the routing algorithm alongside traditional metrics like distance and time. This multi-parameter approach enables the system to optimize travel efficiency while simultaneously controlling vehicular concentration and pollution distribution by adjusting route recommendations based on real-time parameter changes.
3Productivity
If maximum traffic flow is directed through specific routes, then throughput is improved, but pollution hotspots and environmental burden increase
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring pollution levels from fixed and mobile monitoring stations, traffic flow data from sensors, and route performance metrics. This real-time feedback is fed back into the routing algorithm to dynamically adjust traffic distribution, ensuring that maximum throughput is achieved while preventing pollution hotspots by redirecting traffic away from areas exceeding environmental thresholds.
Solution Approach 2:
The system introduces an intermediary layer between drivers and route selection by using a centralized server that processes traffic and pollution data, computes optimal routes, and provides guidance to vehicles. This intermediary enables coordinated traffic flow management that maximizes throughput while distributing pollution burden more evenly, as the server can balance overall network flow rather than allowing individual drivers to independently choose routes.
Data Source
AI summary
A method for providing maximum traffic flow throughput and controlling vehicular pollution concentration is provided. The method includes (i) processing a source location and a destination location obtained from a user device associated with a user to determine at least one possible route to reach the destination location from the source location, (ii) determining at least one maximum flow route that includes at least one edge with an edge capacity from the at least one possible route, (iii) determining maximum traffic flow capacity for the at least one maximum flow route, (iv) determining active traffic flow routes by comparing continuously if shared or common edges of a plurality of route solutions is less than or equal to a pre-defined limit and (v) partitioning the maximum traffic flow capacity for the active traffic flow routes and permuting each partition of the maximum traffic flow capacity for the active traffic flow routes.