V2X Air Quality Control via Dynamic Vehicle Mode Switching
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Solution Overview
Problem
The increasing number of vehicles on the road leads to air quality norms being exceeded, particularly due to the emissions from fuel-based power generated vehicles.
Innovation Solution
A real-time or near real-time vehicle-to-everything (V2X) communication and processing system that computes the level of pollution in a specific location and determines how many vehicles should be switched from fuel-based power to battery power to maintain air quality norms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of fuel-based power generated vehicles is increased to meet transportation demand, then vehicle availability and transportation capacity are improved, but air quality deteriorates and emission levels exceed acceptable thresholds
Solution Approach 1:
The system dynamically adjusts the operating mode of hybrid vehicles based on real-time air quality conditions. When air quality deteriorates or emission thresholds are approached, the system automatically transitions vehicles from fuel-based mode to battery-powered mode, creating a dynamic response mechanism that adapts transportation operations to environmental conditions
Solution Approach 2:
The system implements a feedback loop where air quality sensors continuously monitor emission levels, and this information is fed back to control hybrid vehicles' operating modes. The system calculates aggregated emissions, compares them against thresholds, and adjusts vehicle operations accordingly, creating a closed-loop control system that responds to actual environmental conditions
Solution Approach 3:
The system changes the operational parameters of hybrid vehicles by switching between different power modes (fuel-based vs. battery-powered). This parameter change allows the same vehicle fleet to adapt its emission characteristics based on environmental conditions, maintaining transportation capacity while controlling harmful emissions
2Object-generated harmful factors
If real-time monitoring and control of vehicle emissions is implemented to maintain air quality norms, then air quality is improved, but system complexity increases due to V2X communication and processing requirements
Solution Approach 1:
The system uses a multi-functional V2X communication infrastructure that serves both traditional transportation coordination purposes and the additional function of air quality monitoring and control. The same communication network handles vehicle-to-vehicle, vehicle-to-infrastructure, and vehicle-to-cloud communications, reducing the need for separate dedicated systems
Solution Approach 2:
The system introduces a centralized processing server as an intermediary that receives data from multiple hybrid vehicles and air quality sensors, performs emissions calculations, and distributes control commands. This intermediary consolidates the complexity of real-time processing and coordination, making the system more manageable than distributed peer-to-peer control
Data Source
AI summary
A V2X computing system to manage air quality by reducing carbon emissions by changing a vehicle mode of operation from fuel to battery. The system identifies the position of the vehicle and changes the mode of the vehicle to a target battery-based vehicle. The system calculates how much aggregated emission can be allowed within a defined time range around a geo-fencing area to identify appropriate distribution of battery-operated vehicle and fossil fuel-based vehicle to ensure the required air-quality. The system leverages historical data around environmental parameters like wind direction, speed, etc. for a period to calculate the emission requirements vs. predicted emission. The system uses this data to dynamically switch vehicle from using fuel power to battery power based on the capability available within the vehicle for environmental sustainability. The system further spaces vehicles appropriately to ensure the air quality is maintained on the road in a geo-fenced area.