Parking Egress Time Tracking and Route Recommendation System
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Solution Overview
Problem
Existing systems lack effective solutions for managing traffic flow within parking structures, particularly in determining egress times and providing optimal exit route recommendations to drivers, leading to inefficiencies during peak exit times.
Innovation Solution
A system that tracks vehicle data to calculate egress times, estimates current traffic conditions, and provides action recommendations to drivers based on real-time and historical data, using Vehicle-to-Everything (V2X) communications and 5G cellular networks to optimize exit routes and departure times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple vehicles attempt to exit the parking structure simultaneously, then the number of vehicles served increases, but the egress time for each vehicle increases substantially
Solution Approach 1:
The system performs preliminary actions by calculating egress times for multiple potential exit routes in advance, before the driver needs to make a decision. The server receives real-time location and destination data, pre-computes multiple route options with their respective egress times, and presents these options to the driver through the client device, enabling informed departure decisions without time pressure
Solution Approach 2:
The system implements dynamics by continuously updating egress time estimates based on real-time traffic conditions, parking structure occupancy, and vehicle movement data. The routing recommendations are dynamically adjusted as conditions change, allowing the system to adapt to varying traffic patterns and maintain optimal egress times even during peak periods
2Productivity
If the system provides real-time routing recommendations to all drivers, then traffic management improves, but the complexity of the system increases
Solution Approach 1:
The system introduces an intermediary server that acts as a mediator between the parking structure infrastructure and individual driver devices. The server consolidates the computational burden of route calculation and egress time estimation, receiving data from multiple sources (traffic sensors, parking spot sensors, vehicle locations) and processing routing logic centrally, thereby simplifying the complexity at the client device level while maintaining comprehensive traffic management capabilities
Solution Approach 2:
The server implements multi-functionality by handling diverse tasks within a single system: tracking vehicle locations, estimating egress times for multiple exits, analyzing traffic conditions, generating routing recommendations, and communicating with various client devices. This universal approach consolidates multiple functions into one system, managing complexity through integration rather than proliferation of separate systems
Data Source
AI summary
A method includes receiving vehicle data for a plurality of vehicles in a parking facility over time, the vehicle data including a time t1 indicating when each of the vehicles leaves its corresponding parking spot in the parking facility, and a time t2 indicating when each of the plurality of vehicles reaches an exit of the parking facility. An egress time is determined for each of the plurality of vehicles based at least in part on the corresponding times t1 and t2. A timestamp is assigned to each of the egress times, resulting in timestamped egress times. A current egress time of the parking facility is estimated based at least in part on the timestamped egress times. An action recommendation is based at least in part on the current egress time of the parking facility and is outputted for subsequent viewing by the driver of the particular vehicle.