Risk-Aware AV Routing With Oversight-Guided Map Planning
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Solution Overview
Problem
Autonomous vehicles face challenges in safely navigating through uncertain dynamic environments, particularly in recognizing and avoiding high-risk areas on highways and roadways, without extensive learning or training, and in adhering to regulations.
Innovation Solution
The system generates an optimal risk-aware path based on a risk map and cost criteria, using a combination of vehicle sensors, an in-vehicle control computer, and an oversight system that communicates with the vehicle to execute maneuvers that ensure safe operation, signaling, and compliance with infrastructure and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles use traditional routing methods without risk awareness, then the routing system is simple and fast, but the vehicles cannot safely navigate through high-risk areas in dynamic environments
Solution Approach 1:
The system pre-generates risk maps and identifies high-risk areas before the autonomous vehicle begins its journey. The oversight system creates a comprehensive risk map of the operating environment in advance, marking dangerous zones, construction areas, and high-traffic regions. This preliminary risk assessment allows the vehicle to plan safe routes beforehand rather than reacting to dangers in real-time, improving safety while maintaining computational efficiency.
Solution Approach 2:
An oversight system acts as an intermediary between the autonomous vehicle and the complex task of risk assessment. Instead of the vehicle's onboard computer directly analyzing all environmental risks, the oversight system generates risk maps and provides guidance to the vehicle. This intermediary approach distributes computational complexity away from the vehicle, allowing safer navigation without overwhelming the vehicle's processing capabilities.
2Reliability
If autonomous vehicles extensively learn and train to recognize dynamic environments, then navigation safety improves, but the learning and training time increases significantly
Solution Approach 1:
The oversight system performs comprehensive environmental risk assessment and route planning in advance, before the autonomous vehicle begins operation. By pre-generating risk maps and identifying safe pathways, the system eliminates the need for the vehicle to learn and adapt to dynamic environments during actual operation. The vehicle can immediately navigate safely using pre-computed routes, avoiding lengthy training periods.
Solution Approach 2:
The oversight system serves the autonomous vehicle by providing pre-analyzed risk information and recommended routes. Instead of the vehicle needing to independently learn environmental dynamics through extensive training, the oversight system performs this analytical work in advance and delivers ready-to-use navigation guidance, allowing the vehicle to operate safely from the start.
3Reliability
If autonomous vehicles prioritize risk avoidance, then safety improves, but travel time and route efficiency may decrease
Solution Approach 1:
The system dynamically adjusts routing parameters based on risk levels and vehicle priorities. The oversight system can modify route recommendations to balance safety with efficiency by changing parameters such as acceptable risk thresholds, preferred travel times, and route constraints. This allows the system to optimize for safety when risks are high while maintaining efficiency when conditions permit, achieving both goals through flexible parameter adjustment.
Solution Approach 2:
The routing system is dynamic and adaptable, allowing real-time adjustments to balance safety and efficiency. The oversight system continuously monitors environmental conditions and can modify recommended routes based on changing risk levels, traffic conditions, and vehicle priorities. This dynamic approach enables the system to prioritize safety when necessary while maintaining travel efficiency when conditions allow, rather than rigidly adhering to one strategy.
4Ease of operation
If autonomous vehicles navigate without oversight system guidance, then operational independence improves, but risk awareness and compliance with regulations decrease
Solution Approach 1:
The oversight system provides pre-computed risk maps and route recommendations before the autonomous vehicle begins its journey. This preliminary guidance equips the vehicle with necessary risk awareness information in advance, allowing it to navigate independently while still benefiting from the oversight system's comprehensive risk analysis. The vehicle maintains operational independence during execution while having access to pre-established safety guidance.
Solution Approach 2:
The oversight system serves as an intermediary that enhances the vehicle's risk awareness capabilities without requiring constant direct control. By providing pre-analyzed risk information and recommended routes, the oversight system acts as a knowledge base that the independent vehicle can consult, maintaining operational independence while ensuring comprehensive risk awareness and regulatory compliance.
Data Source
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AI summary
An autonomous vehicle (AV) route planning system and method comprising receiving data indicating a risk on each road segments of a road network, generating a risk aware map of the road network having a dynamic risk layer determined by the received data on each of the road segments of the road network, generating a set of feasible routes between an origin and destination, selecting an optimal route from the set of feasible routes, and transmitting the optimal route to the AV, where the every route in the set of feasible route has an overall risk below a predetermined risk level specified by an oversight system or a third-party. The autonomous vehicle may operate in conjunction with an oversight system, such as when coordinating a fleet of autonomous vehicles.