Longitudinal Acceleration Planning for Traffic Wave Following
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Solution Overview
Problem
Autonomous vehicles face challenges in maintaining proper road position and pace with surrounding traffic, particularly when vehicles frequently stop and start at traffic lights or incidents, which existing technologies have not adequately addressed.
Innovation Solution
A system and method utilizing LiDAR or RADAR sensors to determine a feed-forward parameter representing traffic waves, enabling the vehicle to adjust its acceleration to maintain distance and pace with other vehicles by applying required acceleration based on sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle uses traditional acceleration control methods, then the control system is simple, but the vehicle cannot maintain proper road position and pace with surrounding traffic in dynamic traffic scenarios
Solution Approach 1:
The system continuously receives sensor data representing acceleration and location coordinates of multiple vehicles, determines traffic wave parameters based on this feedback, and adjusts acceleration accordingly to maintain proper road position and pace with surrounding traffic
Solution Approach 2:
The system determines feed-forward parameters corresponding to traffic waves in advance, allowing the vehicle to proactively adjust its acceleration to maintain optimal position and pace with surrounding vehicles before traffic conditions deteriorate
2Productivity
If the vehicle applies aggressive acceleration to keep up with traffic, then the vehicle can maintain pace with surrounding traffic, but safety is compromised
Solution Approach 1:
The system dynamically adjusts acceleration based on real-time sensor data and determined traffic wave parameters, allowing the vehicle to adapt its acceleration profile to match surrounding traffic while maintaining safety through continuous monitoring and adjustment
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances safety and maintains proper road position and pace with surrounding vehicles, improving the vehicle's ability to navigate traffic scenarios with varying velocities.
Implementation Method 1
a plurality of sensors including at least one of a light detection and ranging (LiDAR) sensor or a radio detection and ranging (RADAR) sensor
Implementation Method 2
a plurality of sensors including at least one of a light detection and ranging (LiDAR) sensor or a radio detection and ranging (RADAR) sensor
Data Source
AI summary
A system for longitudinal acceleration planning is disclosed. The system includes a plurality of sensors including at least one of a light detection and ranging (LiDAR) sensor or a radio detection and ranging (RADAR) sensor, at least one memory configured to store instructions, and at least one processor configured to execute the stored instructions to: (i) receive sensor data, from the plurality of sensors, representing respective acceleration and location coordinates of a plurality of vehicles travelling in a direction of travel of a vehicle associated with the system; (ii) based upon the received sensor data, determine a feed-forward parameter corresponding to a traffic wave representing the respective acceleration and location coordinates of the plurality of vehicles; and (iii) based upon the determined feed-forward parameter, determine and apply a required acceleration of the vehicle to maintain a distance and a pace with the plurality of vehicles.