Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control

This paper proposes an emergency Trajectory Replanner (TR) for collision avoidance (CA) which works based on a Safe-Distance Based Threat Assessment Strategy (SDTA). The contribution of this work is the design of a piecewise-kinematic based TR, where it replans the path by avoiding the invisible rec...

Full description

Bibliographic Details
Main Authors:	Umar Zakir, Abdul Hamid, Mohammad Hatta, Mohammed Ariff, Hairi, Zamzuri, Saito, Yuichi, Muhammad Aizzat, Zakaria, Mohd Azizi, Abdul Rahman, Raksincharoensak, Pongsathorn
Format:	Article
Language:	English
Published:	Springer Netherlands 2018
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/20081/ http://umpir.ump.edu.my/id/eprint/20081/ http://umpir.ump.edu.my/id/eprint/20081/ http://umpir.ump.edu.my/id/eprint/20081/1/10.1007%252Fs10846-017-0665-8.pdf

id	ump-20081
recordtype	eprints
spelling	ump-200812018-06-06T07:13:02Z http://umpir.ump.edu.my/id/eprint/20081/ Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control Umar Zakir, Abdul Hamid Mohammad Hatta, Mohammed Ariff Hairi, Zamzuri Saito, Yuichi Muhammad Aizzat, Zakaria Mohd Azizi, Abdul Rahman Raksincharoensak, Pongsathorn TJ Mechanical engineering and machinery This paper proposes an emergency Trajectory Replanner (TR) for collision avoidance (CA) which works based on a Safe-Distance Based Threat Assessment Strategy (SDTA). The contribution of this work is the design of a piecewise-kinematic based TR, where it replans the path by avoiding the invisible rectangular region created by SDTA. The TR performance is measured by assessing its ability to yield a maneuverable path for lane change and lane keeping navigations of the host vehicle. The reliability of the TR is evaluated in multi-scenario computational simulations. In addition, the TR is expected to provide a reliable replanned path during the increased nonlinearity of high-speed collisions. For this reason, Nonlinear Model Predictive Control (NMPC) is adopted into the design to track the replanned trajectory via an active front steering and braking actuations. For path tracking strategy, comparisons with benchmark controllers are done to analyze NMPC’s reliability as multi-actuators nonlinear controller of the architecture to the CA performance in high-speed scenario. To reduce the complexity of the NMPC formulation, Move Blocking strategy is incorporated into the control design. Results show that the CA system performed well in emergency situations, where the vehicle successfully replanned the obstacle avoidance trajectory, produced dependable lane change and lane keeping navigations, and at the same time no side-collision with the obstacle’s edges occurred. Moreover, the multi-actuators and nonlinear features of NMPC as the PT strategy gave a better tracking performance in high-speed CA scenario. Assimilation of Move Blocking strategy into NMPC formulation lessened the computational burden of NMPC. The system is proven to provide reliable replanned trajectories and preventing multi-scenario collision risks while maintaining the safe distance and time constraints. Springer Netherlands 2018-06 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/20081/1/10.1007%252Fs10846-017-0665-8.pdf Umar Zakir, Abdul Hamid and Mohammad Hatta, Mohammed Ariff and Hairi, Zamzuri and Saito, Yuichi and Muhammad Aizzat, Zakaria and Mohd Azizi, Abdul Rahman and Raksincharoensak, Pongsathorn (2018) Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control. Journal of Intelligent and Robotic Systems: Theory and Applications, 90 (3-4). pp. 363-385. ISSN 1573-0409 https://link.springer.com/article/10.1007/s10846-017-0665-8 10.1007/s10846-017-0665-8
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Umar Zakir, Abdul Hamid Mohammad Hatta, Mohammed Ariff Hairi, Zamzuri Saito, Yuichi Muhammad Aizzat, Zakaria Mohd Azizi, Abdul Rahman Raksincharoensak, Pongsathorn Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control
description	This paper proposes an emergency Trajectory Replanner (TR) for collision avoidance (CA) which works based on a Safe-Distance Based Threat Assessment Strategy (SDTA). The contribution of this work is the design of a piecewise-kinematic based TR, where it replans the path by avoiding the invisible rectangular region created by SDTA. The TR performance is measured by assessing its ability to yield a maneuverable path for lane change and lane keeping navigations of the host vehicle. The reliability of the TR is evaluated in multi-scenario computational simulations. In addition, the TR is expected to provide a reliable replanned path during the increased nonlinearity of high-speed collisions. For this reason, Nonlinear Model Predictive Control (NMPC) is adopted into the design to track the replanned trajectory via an active front steering and braking actuations. For path tracking strategy, comparisons with benchmark controllers are done to analyze NMPC’s reliability as multi-actuators nonlinear controller of the architecture to the CA performance in high-speed scenario. To reduce the complexity of the NMPC formulation, Move Blocking strategy is incorporated into the control design. Results show that the CA system performed well in emergency situations, where the vehicle successfully replanned the obstacle avoidance trajectory, produced dependable lane change and lane keeping navigations, and at the same time no side-collision with the obstacle’s edges occurred. Moreover, the multi-actuators and nonlinear features of NMPC as the PT strategy gave a better tracking performance in high-speed CA scenario. Assimilation of Move Blocking strategy into NMPC formulation lessened the computational burden of NMPC. The system is proven to provide reliable replanned trajectories and preventing multi-scenario collision risks while maintaining the safe distance and time constraints.
format	Article
author	Umar Zakir, Abdul Hamid Mohammad Hatta, Mohammed Ariff Hairi, Zamzuri Saito, Yuichi Muhammad Aizzat, Zakaria Mohd Azizi, Abdul Rahman Raksincharoensak, Pongsathorn
author_facet	Umar Zakir, Abdul Hamid Mohammad Hatta, Mohammed Ariff Hairi, Zamzuri Saito, Yuichi Muhammad Aizzat, Zakaria Mohd Azizi, Abdul Rahman Raksincharoensak, Pongsathorn
author_sort	Umar Zakir, Abdul Hamid
title	Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control
title_short	Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control
title_full	Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control
title_fullStr	Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control
title_full_unstemmed	Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control
title_sort	piecewise trajectory replanner for highway collision avoidance systems with safe-distance based threat assessment strategy and nonlinear model predictive control
publisher	Springer Netherlands
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/20081/ http://umpir.ump.edu.my/id/eprint/20081/ http://umpir.ump.edu.my/id/eprint/20081/ http://umpir.ump.edu.my/id/eprint/20081/1/10.1007%252Fs10846-017-0665-8.pdf
first_indexed	2023-09-18T22:28:46Z
last_indexed	2023-09-18T22:28:46Z
_version_	1777416144184934400

Piecewise Trajectory Replanner for Highway Collision Avoidance Systems with Safe-Distance Based Threat Assessment Strategy and Nonlinear Model Predictive Control

Similar Items