Call Allocation System for Commercial Vehicles Using Concentration Area Detection
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Solution Overview
Problem
Commercial vehicles face issues such as excessive competition in high-demand areas, leading to passenger refusal and inefficient operation, as taxi drivers often lack information about frequent call areas and prefer not to serve distant or low-demand destinations.
Innovation Solution
A call allocation system that uses a server to identify high-demand concentration areas and preference areas based on vehicle grades and customer preferences, allocating calls to vehicles entering these areas to optimize service distribution and reduce idle time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If commercial vehicles operate in high-demand areas without call allocation guidance, then they can serve more customers, but excessive competition leads to passenger refusal and inefficient operation
Solution Approach 1:
The server performs preliminary analysis of call concentration areas and vehicle grades before allocation, then provides advance guidance to vehicles on which areas to target. This preliminary action prevents excessive competition by distributing vehicles to different high-demand areas based on their grades, rather than allowing all vehicles to compete for the same customers.
Solution Approach 2:
The system applies different allocation strategies to different vehicle grades and different geographic areas. High-grade vehicles are directed to specific concentration areas while lower-grade vehicles are directed to other areas, creating localized quality differences in service distribution that reduce competition and improve operational efficiency.
2Reliability
If taxi drivers wander in certain areas without information guidance, then they may find customers, but they spend excessive time in low-demand areas with no passengers
Solution Approach 1:
The server continuously monitors call concentration data and vehicle positions, then provides real-time feedback guidance to vehicles. This feedback mechanism directs vehicles away from low-demand areas and toward high-demand concentration areas, reducing idle time while maintaining reliable customer acquisition through data-driven routing.
Solution Approach 2:
The system pre-identifies call concentration areas based on historical and real-time data before vehicles arrive, then provides advance routing guidance to direct vehicles to these areas. This preliminary identification prevents vehicles from wandering in low-demand areas and reduces unnecessary idle time.
3Adaptability or versatility
If commercial vehicles are allocated calls without considering area concentration, then service coverage is broad, but service efficiency and matching success rates decrease
Solution Approach 1:
The system implements localized quality differentiation by analyzing call concentration in specific geographic areas and directing vehicles to these concentrated areas. This creates efficient local service zones rather than uniform broad coverage, improving matching success rates and service efficiency while maintaining overall adaptability through the ability to dynamically adjust to different concentration patterns.
Data Source
AI summary
A call allocation system includes a server which extracts first concentration areas matched with an operating time of the commercial vehicle among a concentration areas, extracts a second concentration area corresponding to a grade of the commercial vehicle among first concentration areas, and transmits a first message requesting movement thereof to the second concentration area to vehicle terminal of commercial vehicle, wherein the server allocates the call of the customer terminal, in which a departure or a destination is located in the second concentration area, to the commercial vehicle when the commercial vehicle enters the second concentration area, the concentration area is an area in which an average value of a number of calls per unit time corresponding to the operating time is a first reference value or more than the first reference value among areas divided according to a predetermined reference, and the grade is a score of evaluating satisfaction of the commercial vehicle.