Vehicle Coordination System for Transport Capacity Utilization
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Solution Overview
Problem
Existing vehicle coordination solutions often result in low utilization of transport capacity, leading to increased traffic, higher costs, and environmental impact, with insufficient reliability and limited functionality, necessitating a more efficient method to share and manage transport capacities.
Innovation Solution
A method for automated vehicle coordination that involves collecting and processing route information, detecting input requests, and transmitting data to a central processing device to match and assign desired routes with available transport capacities, allowing for efficient division and utilization of transport capacity across various vehicle types, including motor vehicles, buses, trucks, and autonomous vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing vehicle coordination solutions are used, then vehicles can exchange traffic information, but transport capacity utilization remains low
Solution Approach 1:
The patent introduces a central server as an intermediary that coordinates vehicles by matching supply and demand. The server receives route information from vehicles and user requests, processes matches, and coordinates vehicle assignments. This mediator enables efficient transport capacity utilization by systematically connecting available vehicles with needed routes, resolving the contradiction between reliable capacity utilization and traffic efficiency.
Solution Approach 2:
The system implements feedback mechanisms where vehicles continuously transmit their current route information, availability, and capacity to the central server. The server processes this feedback and provides coordination instructions back to vehicles. This closed-loop feedback enables dynamic adjustment of vehicle coordination, improving both transport capacity utilization and traffic efficiency simultaneously.
2Reliability
If more vehicles are used to ensure sufficient coordination, then reliability improves, but resource consumption and costs increase
Solution Approach 1:
The patent makes vehicles universal by enabling them to serve multiple functions and multiple users through the coordination system. A single vehicle can be assigned to different routes and users based on real-time demand, rather than being dedicated to a single purpose. This multi-functionality ensures reliable coordination coverage with fewer vehicles, reducing resource consumption while maintaining service reliability.
Solution Approach 2:
The system dynamically changes vehicle assignment parameters (route, destination, time, user) based on real-time conditions. Rather than fixing vehicle assignments, the system continuously adjusts parameters to optimize coordination reliability. This flexibility allows the same vehicle fleet to reliably serve varying demands without increasing the number of vehicles required.
3Adaptability or versatility
If manual coordination methods are used, then system complexity is low, but functionality and convenience are limited
Solution Approach 1:
The patent replaces manual coordination mechanisms with automated electronic systems. Instead of human operators manually assigning vehicles, the system uses digital communication between vehicles, mobile devices, and a central server to automatically process route information, match demands, and coordinate assignments. This substitution dramatically enhances coordination functionality and convenience while the modular system architecture keeps complexity manageable.
Solution Approach 2:
The coordination system is segmented into independent functional modules: vehicle information transmission, user request submission, central processing, matching algorithms, and assignment notification. Each module operates independently but connects through standardized interfaces. This segmentation enables high functionality through specialized modules while keeping overall system complexity manageable through modular design.
Data Source
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AI summary
The invention relates to a method (120) for coordinating vehicles (214), comprising the following steps: - providing a route collection (230), wherein the route collection (230) includes different route information (210), each specific to at least one starting location (211), one destination location (212), one time information (213), and one vehicle (214), which are assigned to a proposed route; - acquiring (105) input information (220), which is specific to at least one desired starting location (221), one desired destination location (222), one desired time information (223), and one vehicle request (224), which are assigned to a desired route; - transmitting (110) the input information (220) to a data processing device (50); - processing (115) the transmitted input information (220) and the route information (210) in the route collection. (230),to determine at least one match and/or assignment of the desired route to the offered routes, - performing the coordination (120) based on a result of the processing (115).,