Vehicle Allocation System Using Real-Time Availability Detection
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Solution Overview
Problem
Frequent users of vehicle transit services face cumbersome and unreliable processes for booking vehicles, requiring multiple steps and advance planning, which can demotivate them from using the services.
Innovation Solution
A vehicle allocation system that uses real-time data and historical travel information to detect vehicle availability and notify users, allowing them to book a ride with a single click, selecting from determined pick-up and drop-off locations based on their travel history, and allocates vehicles based on user responses and selection parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual vehicle allocation process is used, then vehicle can be allocated to passenger, but the process becomes tedious and cumbersome requiring multiple steps
Solution Approach 1:
The system performs preliminary actions by detecting vehicle availability in real-time and proactively notifying users before they need to book. The system identifies suitable vehicles and prepares allocation options in advance, so users only need to confirm with a single click rather than going through the entire booking process manually.
Solution Approach 2:
The system enables self-service by automatically detecting user needs based on historical data, identifying available vehicles, and presenting allocation options without requiring users to initiate complex booking procedures. Users simply confirm the pre-prepared allocation rather than manually searching and booking vehicles.
2Reliability
If advance booking is required, then vehicle allocation can be ensured, but frequent users must repeatedly go through the same procedure
Solution Approach 1:
The system performs preliminary actions by continuously monitoring vehicle availability and user patterns, preparing allocation options in advance before users need to book. This ensures vehicles are ready when needed while eliminating the repetitive booking process for frequent users.
Solution Approach 2:
The system uses feedback from historical travel data to learn user patterns and preferences, continuously improving its ability to predict when and where users will need vehicles. This feedback loop allows the system to proactively offer allocations that match user needs without requiring repeated manual bookings.
3Adaptability or versatility
If online platform with multiple options is provided, then user can select vehicle type and service, but frequent users still have to repeatedly initiate booking requests
Solution Approach 1:
The system performs preliminary actions by analyzing historical data to predict user needs and pre-identifying suitable vehicles with appropriate types and services. Users receive pre-prepared allocation options that already consider their preferences, eliminating the need to repeatedly select from multiple options.
Solution Approach 2:
Instead of requiring users to initiate booking requests and select vehicles from options, the system inverts the process by proactively presenting pre-selected allocation options to users. Users simply confirm the pre-prepared options rather than searching and selecting, reversing who performs the selection action.
Data Source
AI summary
A method and a system for allocating a vehicle to a user are provided. An availability of a vehicle is detected in a geographical location for an allocation. Based on the historical travel data or a real-time travel-related intention of a set of users in the geographical area, a user is identified from the set of users. A notification message is transmitted to a user device of the identified user based on the detected availability of the vehicle in the geographical area. A user response message is received from the user device in response to the transmitted notification message. Based on the received user response message associated with the selected user, the vehicle is allocated to the selected user for a ride.