On-Demand Automated Vehicle Dispatch for Energy and Waiting Time
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Solution Overview
Problem
On-demand predefined route automated driving vehicles face limitations in energy storage capacity, restricting design freedom and increasing waiting times due to high energy consumption when regularly circulating along predefined routes.
Innovation Solution
The implementation of an on-demand predefined route automated driving vehicle system that includes wheels, a drive mechanism, a brake mechanism, and a vehicle-mounted controller, which allows for advanced route planning and vehicle dispatch optimization by selecting vehicles with sufficient energy for pre-emptive dispatch to anticipated riding locations, reducing energy consumption and increasing design flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If multiple on-demand predefined route automated driving vehicles regularly circulate along an annular predefined route, then the waiting time for users is reduced, but the total energy consumption of all vehicles increases
Solution Approach 1:
The system dynamically adjusts vehicle circulation patterns based on real-time demand. Instead of fixed regular circulation, vehicles are dispatched on-demand to specific locations along the annular route, optimizing both response time and energy usage by avoiding unnecessary vehicle movements when no users are waiting.
Solution Approach 2:
The system performs preliminary dispatching by predicting user demand and positioning vehicles in advance at strategic locations along the annular route. This allows vehicles to be ready near anticipated pickup points without continuously circulating, reducing energy consumption while maintaining quick response times.
2Adaptability or versatility
If the energy storage amount of the automated driving vehicle is increased, then the vehicle can operate more freely, but the vehicle size and cost increase
Solution Approach 1:
The system introduces a fleet management intermediary that coordinates multiple vehicles with smaller energy storage capacities. By managing a fleet of vehicles with standardized, smaller batteries, the system achieves the adaptability of larger energy storage while keeping individual vehicle sizes manageable through centralized dispatch and routing optimization.
Data Source
AI summary
An on-demand predefined route automated driving vehicle comprising a vehicle-mounted controller configured to cause the vehicle to run toward a planned riding location such that the vehicle automatically runs along a predefined route which is determined in advance and in a runnable area. The vehicle-mounted controller communicates with an on-demand predefined route automated driving vehicle fleet controller. Based on route information and an in-advance vehicle dispatch command signal received from the vehicle fleet controller, the vehicle-mounted controller controls the vehicle so that the vehicle runs toward an anticipated riding location based on the in-advance vehicle dispatch command signal.