Intelligent Vehicle On-Board Controller Route Resource Allocation

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Solution Overview

Problem

Traditional urban rail transit operation control systems, based on communication-based train control (CBTC), lack flexibility in path planning and resource allocation, leading to inefficiencies and safety concerns as the operational capacity and frequency of rail transit increase.

Innovation Solution

A route resource controlling method and intelligent vehicle on-board controller (IVOC) system that determines a safe route search extension distance based on train speed, calculates required route resources, and manages resource authority through exclusive or shared lock authorities, enabling flexible and efficient allocation of traffic lane resources while ensuring safety.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional CBTC system uses pre-set admission passages and manual CI operation, then path information can be communicated to CI, but the system lacks flexibility in path planning and resource allocation

Engineering Contradiction:
Improvepath planning flexibilityVSAvoidtrain operation efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent implements dynamic route resource allocation where the IVOC continuously determines route search extension distances based on real-time train speed and location, dynamically adjusting the route search range and resource allocation rather than using fixed pre-set passages

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The IVOC autonomously calculates mobile authorization and determines safe paths without requiring manual CI operation, enabling the system to self-manage path planning and resource allocation decisions

Inventive Principle:
Principle #25Self-service

2Productivity

If the system increases operational capacity and frequency of rail transit, then more trains can operate, but collision risk increases without flexible resource allocation

Engineering Contradiction:
Improveoperational capacityVSAvoidcollision avoidance
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system continuously monitors train location and speed, using this feedback to dynamically adjust route search extension distances and resource allocation, ensuring safe separation between trains as operational capacity increases

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The IVOC proactively determines route resources and safe paths in advance based on predicted train movement, preventing potential collisions before they occur by establishing authorized paths ahead of time

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If the IVOC determines route resources autonomously without CI and ZC, then the system simplifies control architecture, but route resource allocation and safety control become critical challenges

Engineering Contradiction:
Improvecontrol architectureVSAvoidroute resource allocation
Core Design Contradiction:
Device complexityVSEase of operation

Solution Approach 1:

The patent extracts the route resource management function from the traditional CI and ZC architecture, consolidating it into the IVOC which autonomously determines route search extension distances and allocates resources based on real-time train conditions

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The route search extension distance serves as an intermediary parameter that mediates between train operational requirements and route resource allocation, enabling the IVOC to efficiently manage resources without complex CI/ZC architecture

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS10745038B2Route resource controlling method, intelligent vehicle on-board controller and object controller
Publication Date: 2020.08.18 TRAFFIC CONTROL TECH CO LTD
  • US10745038B2 patent drawing
  • US10745038B2 patent drawing
  • US10745038B2 patent drawing

AI summary

An embodiment of the present disclosure provides a route resource controlling method, intelligent vehicle on-board controller and object controller. The method comprises: determining a route search extension distance of a train based on current location and speed of the train, wherein the current route search extension distance is the farthest distance in front of the train that is currently expected to be safe for operation based on current speed of the train; determining the currently required link and route resource contained thereof; determining the target authority of the route resource.