Taxi Dispatch Server Weighted Selection Mechanism
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Solution Overview
Problem
Existing taxi dispatch systems lack efficiency in matching passengers with available taxis in real-time, often resulting in long waiting times and inefficient resource allocation.
Innovation Solution
A mobile taxi dispatch system that utilizes a network of communication devices and servers to connect users with nearby taxis, allowing for real-time requests, selection based on criteria such as distance, availability, and ratings, and automated payment processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional taxi dispatch systems are used, then taxis can operate independently without real-time coordination, but passenger waiting times increase and resource allocation becomes inefficient
Solution Approach 1:
The system continuously receives feedback from both passengers (location, destination, timing) and taxis (location, availability, capacity) to dynamically adjust matching decisions. This real-time feedback loop enables efficient resource allocation and minimizes waiting times by constantly optimizing the passenger-taxi matching process based on current system state.
Solution Approach 2:
The patent replaces traditional mechanical/phone-based taxi dispatch systems with an automated computer-based matching system. The computer algorithm processes multiple criteria (distance, availability, ratings, timing) simultaneously to make matching decisions, eliminating the need for manual coordination and significantly improving dispatch efficiency while reducing passenger waiting times.
2Productivity
If real-time matching algorithms are implemented, then passenger-taxi matching efficiency improves, but system complexity increases
Solution Approach 1:
The matching system is divided into separate functional modules: location tracking module, criteria evaluation module, matching algorithm module, and communication module. Each module handles specific tasks independently, making the overall complex system more manageable and easier to maintain while achieving high matching efficiency through coordinated operation of these segmented functions.
Solution Approach 2:
The server system performs multiple functions within a single integrated platform: it tracks locations of both passengers and taxis, stores and retrieves data from databases, evaluates multiple matching criteria, processes payments, and communicates with various devices. This multi-functionality consolidates what would otherwise require separate systems into one unified platform, managing complexity through functional integration rather than multiplication of separate components.
3Speed
If automated payment processing is added, then transaction speed and safety improve, but system complexity and initial costs increase
Solution Approach 1:
The payment system operates autonomously without requiring manual intervention. The automated processing system automatically calculates fares based on distance and time, processes payments through integrated payment gateways, and handles transactions between passengers and taxis without human involvement. This self-service approach speeds up transactions while managing complexity through standardized automated protocols rather than manual procedures.
Data Source
AI summary
One or more servers may include a first communication interface to communicate with a mobile device; a second communication interface to communicate with devices associated with a plurality of vehicles; and a selection mechanism. The first communication interface may receive, via a network, a request from the mobile device based on an interaction with the mobile device. And, the selection mechanism may determine weighted scores for two or more, of the plurality of vehicle, and select one of the two or more vehicles by using a selection function that improves access to vehicle services and decreases waste of resources used by the plurality of vehicles.