Abstract
This paper presents a speed profile generation approach for longitudinal control of automated vehicles, based on quintic Bézier curves. The described method aims to increase comfort level of passengers based on the ISO2631-1 specification, while taking into account vehicle dynamics and traffic rules to keep high safety levels. The algorithm has been tested in an in-house tool for high accuracy vehicle dynamics simulations, called Dynacar. The considered scenario is a closed circuit inside Tecnalia facilities. The resulting profile has better properties (for example, rate of change) than a raw input based on traffic speed limits. When used as reference for the speed controller, it improves both comfort and safety.
| Original language | English |
|---|---|
| Title of host publication | unknown |
| Publisher | IEEE |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-1-5386-4881-0, 9781538648810 |
| ISBN (Print) | 978-1-5386-4882-7 |
| DOIs | |
| Publication status | Published - May 2018 |
| Event | 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Florence, Italy Duration: 27 May 2018 → 30 May 2018 |
Publication series
| Name | 0271-4310 |
|---|
Conference
| Conference | 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 |
|---|---|
| Country/Territory | Italy |
| City | Florence |
| Period | 27/05/18 → 30/05/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Intelligent Transportation Systems
- Automated Driving
- Motion Planning
- Longitudinal Control
- Speed Profile
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/H2020/643921/EU/Unifying Control and Verification of Cyber-Physical Systems/UNCOVERCPS
- info:eu-repo/grantAgreement/EC/H2020/769944/EU/ Smart-Taylored L-category Electric Vehicle demonstration in hEtherogeneous urbanuse-cases/ STEVE
- Funding Info
- This work is partly supported by the H2020 project_x000D_UnCoVerCPS with grant number 643921, and the H2020_x000D_Project STEVE with proposal identification number_x000D_769944.
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