Multi-Lane Platoon Control for Autonomous Traffic Flow

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Solution Overview

Problem

Existing traffic management systems for autonomous vehicles are limited in managing multiple lanes and platoons, failing to optimize traffic flow and reduce congestion effectively.

Innovation Solution

A multi-lane traffic management system that organizes autonomous vehicles into platoons within managed lanes, using a centralized controller to assign vehicles to slots, manage lane transitions, and adjust speeds to maximize traffic flow.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If autonomous vehicles are organized into single platoons with computer control, then traffic flow is improved and congestion is reduced, but the system cannot manage multiple platoons across multiple lanes for optimal traffic flow

Engineering Contradiction:
Improvetraffic flowVSAvoidmulti-lane management capability
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The system segments the roadway into multiple managed lanes, each capable of hosting platoons of autonomous vehicles. The traffic management system independently controls each lane, allowing simultaneous management of multiple platoons across different lanes. This segmentation enables the system to handle higher traffic volumes by distributing vehicles across multiple lanes rather than being limited to a single platoon configuration.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system transitions from one-dimensional single-lane platoon management to two-dimensional multi-lane platoon management. By adding the lane dimension, the system can organize vehicles into a grid-like structure where platoons are distributed across multiple lanes, enabling optimal traffic flow management that utilizes both lateral (lane) and longitudinal (platoon formation) dimensions of the roadway.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of time

If vehicles are organized into closely packed platoons, then travel time is reduced and congestion is minimized, but lane capacity and traffic flow optimization across multiple lanes is not achieved

Engineering Contradiction:
Improvetravel timeVSAvoidlane capacity utilization
Core Design Contradiction:
Loss of timeVSProductivity

Solution Approach 1:

The system dynamically adjusts platoon configurations, lane assignments, and vehicle distributions in real-time based on traffic conditions. platoons can be formed, dissolved, merged, or split as needed. Lane capacities and platoon sizes are dynamically optimized to maximize throughput while maintaining safe following distances. This dynamic adaptation allows the system to continuously minimize travel time while fully utilizing available lane capacity.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes key parameters such as platoon size, inter-platoon spacing, lane speed limits, and vehicle assignment configurations to optimize traffic flow. By adjusting these parameters dynamically based on current traffic conditions, the system maximizes lane capacity utilization while maintaining the time-saving benefits of closely packed platoons.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If a centralized traffic controller manages vehicle assignments and lane transitions, then optimal traffic flow is achieved, but system complexity increases

Engineering Contradiction:
Improvetraffic flow optimizationVSAvoidcontrol system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The centralized traffic controller is designed as a universal system that handles multiple functions: vehicle-to-lane assignment, platoon formation management, lane transition coordination, speed regulation, and real-time traffic optimization. By consolidating these diverse functions into a single multi-functional controller, the system achieves optimal traffic flow management without proportionally increasing complexity, as the controller leverages shared computational resources and unified decision-making algorithms.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12579894B2Multi-lane traffic management system for platoons of autonomous vehicles
Publication Date: 2026.03.17 HANSATEKNETICS LLC
  • US12579894B2 patent drawing
  • US12579894B2 patent drawing
  • US12579894B2 patent drawing

AI summary

A traffic management system for multi-lane roads that manages all traffic on dedicated lanes to achieve much higher rates of traffic flow compared to existing freeways. Managed lanes consist entirely of platoons of autonomous vehicles that have a regular, repeating structure. Intra-platoon and inter-platoon spacing is tightly controlled to increase vehicle density. Vehicle speeds differ on different lanes, which greatly simplifies lane changes since vehicles can wait until an open slot on an adjacent lane lines up with the vehicle before changing lanes, thereby eliminating traffic disruption. Trucks may be allowed only on certain lanes, so that cars-only lanes can move at higher speeds with tighter vehicle packing. Platoons in each lane consist of a fixed number of slots of fixed length; vehicles may occupy one or more slots. An unmanaged lane is reserved for manually drive vehicles and for vehicles entering and exiting the road.