Roadside Parking Utilization Mapping from Fleet Parking Positions
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Solution Overview
Problem
Current systems for providing capacity utilization of parking spaces along a road to vehicles are inefficient, leading to significant time and distance spent by drivers searching for available spaces.
Innovation Solution
A method that uses a computer-implemented system to determine the current and forecasted capacity utilization of parking spaces along a road by receiving parking positions of vehicles, classifying these positions, and calculating the capacity utilization based on the distance from the road, which is then provided to the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing systems are used to display capacity utilization information, then some parking space information is provided, but the search time and distance increase significantly
Solution Approach 1:
The system performs preliminary actions by continuously collecting parking position data from vehicles in the fleet and pre-calculating capacity utilization values for road segments before the user needs parking information. This allows real-time availability of accurate capacity data without requiring on-demand computation, thereby reducing search time while maintaining information accuracy.
Solution Approach 2:
The system implements feedback mechanisms by using actual parking position data from vehicles to continuously update and refine capacity utilization calculations. The feedback loop involves receiving parking positions, determining road segments, calculating capacity utilization, and providing this information back to users, which improves accuracy over time and reduces search time through better-informed recommendations.
2Measurement precision
If parking position data from vehicle fleet is collected and processed, then accurate capacity utilization is determined, but system complexity increases
Solution Approach 1:
The system achieves universality by using a multi-functional approach where the same infrastructure (vehicle fleet, communication systems, processing units) serves multiple purposes: collecting parking positions, determining road segments, calculating capacity utilization, and providing navigation guidance. This reduces overall system complexity compared to dedicated specialized systems, while maintaining high measurement precision through the unified data collection and processing architecture.
Solution Approach 2:
The system implements self-service by having vehicles in the fleet automatically transmit their parking position data without requiring active intervention or additional sensors. The vehicles themselves provide the data needed for capacity utilization calculation, eliminating the need for separate data collection infrastructure and reducing system complexity while maintaining accurate measurements.
3Productivity
If real-time capacity utilization data is provided, then parking search efficiency improves, but data accuracy and timeliness become challenging
Solution Approach 1:
The system ensures continuity of useful action by continuously collecting parking position data from vehicles and continuously updating capacity utilization calculations. This continuous operation guarantees that the data provided to users is both timely and accurate, as it reflects the current state of parking availability without interruption, thereby improving search efficiency while maintaining reliability.
Solution Approach 2:
The system performs preliminary calculations and data preparations in advance, continuously maintaining updated capacity utilization values for road segments. This preliminary action ensures that when users request parking information, the data is already ready and accurate, eliminating delays and ensuring both timeliness and accuracy of real-time information provision.
Data Source
AI summary
A method for providing a current capacity utilization of parking spaces along a road to a vehicle includes receiving a parking position of vehicles of a vehicle fleet, determining a number of roads within a given radius around the parking positions, and determining a road for each vehicle that has the shortest distance between the parking position of the vehicle and the position of the road. The method further includes classifying the parking position for each vehicle depending on the distance of the parking position of the respective vehicle from the given road, and determining a parking space type for each vehicle depending on the classified parking position as an off-road parking space or a parking space along the road. The method also includes calculating a current capacity utilization of the parking spaces along the road, and providing the current capacity utilization of the parking spaces along the road.