Vehicle Load Status Determination for On-Demand Transport
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Solution Overview
Problem
On-demand transportation services face challenges in determining the availability of vehicles, leading to inefficiencies when drivers are unable to accept orders due to vehicles being in an unavailable state, impacting the quality of service.
Innovation Solution
A system and method that utilize a server to determine the load status of vehicles by processing information about prior orders, current time, and vehicle locations, using a neural network model to assess availability and broadcast orders to suitable vehicles, ensuring that only available vehicles receive service requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the server broadcasts orders to all drivers, then the coverage of order distribution is improved, but the service quality deteriorates because drivers with unavailable vehicles cannot accept orders
Solution Approach 1:
The system performs preliminary determination of vehicle load status before broadcasting orders. The server checks whether the vehicle is in an available or unavailable state based on load information received from the terminal, and only broadcasts orders to drivers whose vehicles are in an available state, preventing wasted order assignments
Solution Approach 2:
The terminal provides feedback to the server about the vehicle's load status (available or unavailable). The server uses this feedback information to intelligently determine whether to broadcast the order to the driver, creating a closed-loop control system that adapts to real-time vehicle conditions
2Device complexity
If the server determines vehicle availability using simple status checks, then the system complexity is reduced, but the accuracy of availability determination deteriorates
Solution Approach 1:
The terminal acts as an intermediary between the vehicle's actual load status and the server's order assignment decision. The terminal collects and processes load information (such as current passenger count, vehicle capacity) and transmits this processed information to the server, enabling accurate availability determination without requiring the server to directly monitor complex vehicle conditions
Data Source
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AI summary
A method for determining a load status of a vehicle and a system thereof. The load status of the vehicle indicates whether the vehicle is available to accept an order. The method (800) includes establishing a communication between a terminal (130) associated with the vehicle (160) and the server (110); obtaining a record of a first prior order corresponding to a first prior transaction associated with the terminal (130) by the server (810); determining an estimated end time of the first prior transaction by the server (820); and determining the load status of the vehicle (160) based on a current time and the estimated end time of the first prior transaction by the server(830).