Autonomous Vehicle Following Using Leading Telemetry Feedback
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Solution Overview
Problem
In heavy traffic conditions, the unpredictability of leading vehicles' stops and accelerations makes it difficult for trailing vehicles to anticipate safe and efficient acceleration and braking, leading to inefficient driving experiences.
Innovation Solution
A system comprising a processor and memory that executes computer executable components, including a communication component to receive leading vehicle telemetry data and an autonomous driving component to autonomously control the movement of a trailing vehicle to follow the leading vehicle while maintaining a threshold distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a trailing vehicle manually monitors and responds to leading vehicle movements, then the driver maintains full control and awareness, but the vehicle experiences unnecessary braking and acceleration leading to inefficiency and discomfort
Solution Approach 1:
The autonomous driving component enables the trailing vehicle to automatically monitor leading vehicle telemetry data and adjust its own movement without human intervention. The system serves itself by autonomously processing received data and controlling vehicle operations, eliminating the need for manual driver response while improving efficiency and comfort.
Solution Approach 2:
The system continuously receives telemetry data from the leading vehicle and uses this feedback to dynamically adjust the trailing vehicle's speed and position. This closed-loop feedback mechanism allows the vehicle to respond optimally to changing traffic conditions, maintaining efficient and comfortable operation.
2Productivity
If the trailing vehicle increases speed to match leading vehicle acceleration, then traffic flow efficiency improves, but sudden stops by the leading vehicle cause rapid braking and discomfort
Solution Approach 1:
By receiving and analyzing leading vehicle telemetry data in advance, the autonomous driving component can predict upcoming acceleration or deceleration events. This preliminary action allows the trailing vehicle to prepare appropriate responses, smoothly adjusting speed to match leading vehicle movements without sudden braking, thereby maintaining traffic flow efficiency and predictability.
3Ease of operation
If autonomous control is implemented to smooth trailing vehicle movement, then driving comfort improves, but the system complexity increases
Solution Approach 1:
The autonomous driving component serves multiple functions: it receives telemetry data, processes information, predicts leading vehicle behavior, and controls trailing vehicle movement. By consolidating these diverse functions into a single multi-functional component, the system achieves smooth autonomous operation without proportionally increasing overall system complexity.
Data Source
AI summary
Autonomous traffic navigation optimization (e.g., using a computerized tool) is enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise a communication component that, using a defined vehicle communication protocol, receives leading vehicle telemetry data applicable to a leading vehicle, wherein the leading vehicle is ahead of a trailing vehicle, and an autonomous driving component that, based on the leading vehicle telemetry data, autonomously controls movement of the trailing vehicle to follow the leading vehicle while maintaining a threshold distance between the trailing vehicle and leading vehicle.