Multi-Modal AV Route Planning With Real-Time Trip Optimization

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Solution Overview

Problem

Conventional transportation systems require users to manually determine and arrange multiple transportation modalities, which can be time-consuming and costly, as they often lack the ability to optimize routes that combine different transportation methods such as autonomous vehicles, public transit, and walking, leading to inefficiencies in reaching destinations.

Innovation Solution

A multiple-modality transportation system that includes a client computing device, a server computing device, and autonomous vehicles (AVs), which optimizes routes by considering various transportation modalities like AVs, trains, buses, and walking, allowing users to order and pay for multiple-modal transportation through a single interface, and dynamically updates routes in real-time to adapt to changing conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users manually determine and arrange multiple transportation modalities, then they can reach their destination, but it becomes time-consuming and costly

Engineering Contradiction:
Improvetransportation efficiencyVSAvoidtime to arrange transportation
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs automated route optimization and multi-modality transportation arrangement without requiring manual user intervention. The server computing device automatically determines the optimal combination of transportation modalities (AVs, public transit, walking) and coordinates their integration, allowing the system to serve itself rather than requiring users to manually plan each segment of their journey

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system pre-calculates and prepares optimized multi-modality route plans before the user needs to travel. By performing the optimization algorithm and arranging transportation modalities in advance, the system eliminates the time users would otherwise spend manually determining their transportation options at the moment of need

Inventive Principle:
Principle #10Preliminary action

2Ease of operation

If users manually arrange multiple transportation modalities, then they can reach their destination, but it requires multiple separate orders and arrangements

Engineering Contradiction:
Improvesimplicity of ordering transportationVSAvoidnumber of separate arrangements required
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system merges multiple separate transportation arrangements into a single integrated multi-modality route plan. Instead of requiring users to separately order AVs, public transit tickets, and walking directions, the system combines all these modalities into one unified arrangement that can be ordered through a single interface, simplifying the user experience while coordinating complex multi-modal transportation

Inventive Principle:
Principle #5Merging (Combining)

3Speed

If conventional systems use single modality of transport, then arrangements are simple, but it is not the fastest or least expensive way to reach destination

Engineering Contradiction:
Improvetravel time to destinationVSAvoidcomplexity of route optimization
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The system dynamically adjusts transportation modalities and route segments based on real-time conditions and optimization criteria. Rather than using a fixed single-modality approach, the system flexibly combines multiple modalities (AVs, trains, buses, walking) in optimized sequences, adapting the route plan to achieve the fastest or least expensive travel while managing the complexity through automated algorithms

Inventive Principle:
Principle #15Dynamics

4Measurement precision

If users guess whether multiple modalities would be faster or cheaper, then they can make a decision, but they cannot optimize the route effectively

Engineering Contradiction:
Improveaccuracy of route optimizationVSAvoidlevel of automated optimization
Core Design Contradiction:
Measurement precisionVSExtent of automation

Solution Approach 1:

The system uses optimization algorithms that incorporate feedback from multiple factors including travel time, cost, and user preferences to determine the optimal multi-modality route. By systematically evaluating different transportation combinations and their outcomes, the system achieves precise route optimization that far exceeds user guessing, while the automated nature of this optimization manages the computational complexity

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12135217B2Systems and methods for multi-modality autonomous vehicle transport
Publication Date: 2024.11.05 GM CRUISE HOLDINGS LLC
  • US12135217B2 patent drawing
  • US12135217B2 patent drawing
  • US12135217B2 patent drawing

AI summary

Technologies disclosed herein facilitate identification of a trip route from an origin of a user to a desired destination of the user, wherein the trip route includes multiple transportation modalities, at least one of which is an autonomous vehicle (AV), and dispatching of the AV to a pickup location for the user in connection with providing transportation to the user along a portion of the identified trip route.