Autonomous Vehicle Dispatch Routing for Remote Assistance Load Balancing
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Solution Overview
Problem
Existing vehicle dispatch systems for autonomous driving vehicles do not effectively consider the load on remote operators when determining dispatch routes, leading to inefficient use of remote assistance resources.
Innovation Solution
A vehicle dispatch system that includes a route search unit, required time prediction unit, and remote assistance request number calculation unit to determine optimal dispatch routes based on both travel time and remote assistance requests, reducing the load on remote operators by selecting routes with fewer assistance requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle dispatch system determines routes based only on travel time, then the dispatch efficiency is improved, but the load on remote operators increases
Solution Approach 1:
The system changes the routing parameters from considering only travel time to considering both travel time and remote assistance request frequency. This dual-parameter approach allows the system to balance dispatch efficiency with remote operator workload distribution, resolving the contradiction by expanding the decision-making criteria rather than sacrificing one parameter for the other.
Solution Approach 2:
The system introduces feedback mechanisms that monitor remote assistance request patterns and use this information to dynamically adjust route selections. By incorporating real or historical data on where remote assistance is most frequently needed, the system can distribute workload more evenly across operators while maintaining efficient dispatch times.
2Ease of operation
If the system calculates remote assistance request numbers for each route, then the remote operator load is reduced, but the system complexity increases
Solution Approach 1:
The system performs preliminary calculations of remote assistance request numbers for each potential route before making the final dispatch decision. By pre-computing these metrics based on historical data and route characteristics, the system avoids complex real-time calculations during dispatch, reducing operational complexity while still achieving balanced workload distribution.
Solution Approach 2:
The system introduces an intermediary calculation layer that translates complex route evaluation into simplified metrics (remote assistance request numbers). This intermediary step breaks down the complexity by creating a manageable intermediate representation that can be easily compared and used for decision-making without requiring the full complexity of the underlying data processing.
Data Source
AI summary
A vehicle dispatch system for dispatching an autonomous driving vehicle capable of traveling with remote assistance by a remote operator. The vehicle dispatch system comprising: a required time prediction unit for predicting the required time until the autonomous driving vehicle arrives at a point of dispatch by a route, a remote assistance request number calculation unit for calculating the remote assistance request number on a route, and a vehicle dispatch determination unit for determining the vehicle dispatch route to the point of dispatch where the autonomous driving vehicle travels based on the required time for each route and the remote assistance request number for each route, when the route search unit searched for a plurality of the routes.