Parking-Lot Vehicle Routing for Carbon Emission Reduction
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Solution Overview
Problem
Traditional parking lots face inefficiencies in optimizing parking routes and monitoring vehicle emissions, leading to increased greenhouse gas emissions from vehicles searching for parking spaces.
Innovation Solution
A carbon emission management system comprising a sensing unit, identification module, monitoring unit, route optimization calculation module, and carbon emission calculation module, which identifies vehicle type and location, calculates optimized routes, and provides guidance to minimize emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If traditional parking lot management is used, then device complexity is low, but carbon emissions from vehicles increase due to non-optimized routes and lack of monitoring
Solution Approach 1:
The system divides the parking lot into multiple zones with different carbon emission characteristics and guides vehicles to specific zones based on their emission levels. The sensing units are distributed throughout the parking lot to monitor different areas independently, allowing localized optimization without requiring complete system redesign.
Solution Approach 2:
The route optimization calculation module acts as an intermediary between the sensing units and the vehicles, processing sensor data to determine optimized routes and guiding vehicles through the parking lot in a way that minimizes overall carbon emissions without requiring direct vehicle-to-vehicle communication.
2Loss of time
If route optimization calculation is implemented, then driving time is reduced, but device complexity increases due to additional monitoring and calculation modules
Solution Approach 1:
The system pre-calculates optimized routes based on real-time sensing data and makes them available to vehicles before they enter the parking lot or at the decision point, eliminating the need for complex real-time recalculation as vehicles move through the parking lot.
Solution Approach 2:
The monitoring units continuously provide feedback on vehicle locations and environmental conditions to the route optimization calculation module, which adjusts routes dynamically based on current conditions rather than relying on static pre-planned paths.
3Measurement precision
If real-time monitoring of vehicle location and driving status is performed, then measurement precision is improved, but use of energy increases due to continuous sensing and data processing
Solution Approach 1:
The sensing units perform monitoring at periodic intervals rather than continuously, capturing vehicle location and driving status at regular time steps. This reduces energy consumption while maintaining sufficient measurement precision for route optimization purposes.
Solution Approach 2:
The system monitors only the critical parameters needed for route optimization (location, speed, acceleration) rather than all possible vehicle parameters, and focuses monitoring efforts on areas of the parking lot with highest carbon emission potential.
Data Source
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AI summary
A carbon emission management system (100) and a management method thereof are provided. A route optimization calculation module (102) calculates an optimized route (R1∼R6) for a target vehicle (TA1∼TA3) to drive to a destination according to an identification result and location information of the target vehicle (TA1-TA3), and provides route guidance information according to the optimized route (R1∼R6) to guide the target vehicle (TA1∼TA3) to the destination. A carbon emission calculation module (104) calculates a carbon emission of the target vehicle (TA1∼TA3) according to the identification result and driving status information, and provide carbon emission reduction information according to the carbon emission of the target vehicle (TA1~TA3) and a preset carbon emission.