Peter Nilsson

Publications (20)
Projects (2)

Showing 20 publications

2024

Trajectory-Following and Off-Tracking Minimization of Long Combination Vehicles: A Comparison Between Nonlinear and Linear Model Predictive Control

Toheed Ghandriz, Bengt J H Jacobson, Peter Nilsson et al

Vehicle System Dynamics. Vol. 62 (2), p. 277-310

Journal article

Show project

2021

Real-time Predictive Energy Management of Hybrid Electric Heavy Vehicles by Sequential Programming

Toheed Ghandriz, Bengt J H Jacobson, Nikolce Murgovski et al

IEEE Transactions on Vehicular Technology. Vol. 70 (5), p. 4113-4128

Journal article

Show project

2020

Predictive Energy and Motion Management for Multitrailer Heavy-Duty Vehicles

Toheed Ghandriz, Bengt J H Jacobson, Peter Nilsson et al

Patent application

Show project

2020

Methods for Reducing Highspeed Off-Tracking in Multitrailer Heavy-Duty Vehicles

Toheed Ghandriz, Bengt J H Jacobson, Peter Nilsson et al

Patent application

Show project

2020

Computationally Efficient Nonlinear One-and Two-Track Models for Multitrailer Road Vehicles

Toheed Ghandriz, Bengt J H Jacobson, Peter Nilsson et al

IEEE Access. Vol. 8, p. 203854-203875

Journal article

Show project

2019

Needs for Physical Models and Related Methods for Development of Automated Road Vehicles

Bengt J H Jacobson, Peter Nilsson, Mats Jonasson

Other conference contribution

Show project

2019

A method of determining an allowable vehicle state space for an articulated vehicle

Mats Jonasson, Leo Laine, Peter Nilsson

Patent application

2018

On actions of long combination vehicle drivers prior to lane changes in dense highway traffic – A driving simulator study

Peter Nilsson, Leo Laine, Jesper Sandin et al

Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 55, p. 25-37

Journal article

2017

A Simulator Study Comparing Characteristics of Manual and Automated Driving During Lane Changes of Long Combination Vehicles

Peter Nilsson, Leo Laine, Bengt J H Jacobson

IEEE Transactions on Intelligent Transportation Systems. Vol. 18 (9), p. 2514-2524

Journal article

2017

Traffic Situation Management for Driving Automation of Articulated Heavy Road Transports - From driver behaviour towards highway autopilot

Peter Nilsson

Doctoral thesis

2016

Large Moving Base Simulators and Automation Design for Heavy Vehicles - Case Study for HCT

Jesper Sandin, Bruno Augusto, Leo Laine et al

International Symposium on Heavy Vehicle Transport Technology (HVTT14)

Other conference contribution

2015

A Lane-Change Gap Acceptance Scenario Developed for Heavy Vehicle Active Safety Assessment: A Driving Simulator Study

Jesper Sandin, Bruno Augusto, Peter Nilsson et al

Future Active Safety Technology Towards zero traffic accidents, FAST Zero 2015, Göteborg, September 2015, p. 7-

Other conference contribution

2015

Driver Model Based Automated Driving of Long Vehicle Combinations in Emulated Highway Traffic

Peter Nilsson, Leo Laine, Bengt J H Jacobson et al

IEEE 18th International Conference on Intelligent Transportation Systems (ITSC), September 15-18, 2015, Las Palmas, Spain, p. 361-368

Paper in proceeding

2015

On Traffic Situation Predictions for Automated Driving of Long Vehicle Combinations

Peter Nilsson

Licentiate thesis

2015

Automated highway lane changes of long vehicle combinations: A specific comparison between driver model based control and non-linear model predictive control

Peter Nilsson, Leo Laine, Niels van Duijkeren et al

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), September 2-4, Madrid, Spain, p. 472-479

Paper in proceeding

2015

Real-Time NMPC for Semi-Automated Highway Driving of Long Heavy Vehicle Combinations

Niels van Duijkeren, Tamas Keviczky, Peter Nilsson et al

5th IFAC Conference on Nonlinear Model Predictive Control, NMPC'15, Seville, September 17-21, 2015

Paper in proceeding

2014

A Driver Model Using Optic Information for Longitudinal and Lateral Control of a Long Vehicle Combination

Peter Nilsson, Leo Laine, Ola Benderius et al

IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), October 8-11, 2014. Qingdao, China, p. 1456-1461

Paper in proceeding

2014

Performance characteristics for automated driving of long heavy vehicle combinations evaluated in motion simulator

Peter Nilsson, Leo Laine, Bengt J H Jacobson

25th IEEE Intelligent Vehicles Symposium, IV 2014; Dearborn, MI; United States; 8 June 2014 through 11 June 2014, p. 362-369

Paper in proceeding

2014

Drivers' assessment of driving a 32 meter A-double with and without full automation in a moving simulator base simulator

Peter Nilsson, Jesper Sandin

13th International Heavy Vehicle Transport Technology Symposium, San Luis, Argentina

Paper in proceeding

2014

Single-track models of an A-double heavy vehicle combination

Peter Nilsson, Kristoffer K D Tagesson

Report

Download publication list

You can download this list to your computer.

Filter and download publication list

As logged in user (Chalmers employee) you find more export functions in MyResearch.

You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:

Zotero Connector
Mendeley Web Importer

The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.

Showing 2 research projects

2017–2020

Highly Automated Freight Transports EUTS (AutoFreight)

Fredrik Von Corswant Vehicle and Traffic Safety Centre at Chalmers (SAFER)

Bengt J H Jacobson Vehicle Engineering and Autonomous Systems

Peter Nilsson Vehicle Engineering and Autonomous Systems

VINNOVA

11 publications exist

2017–2019

Highly Automated Freight Transports TSAF (AutoFreight)

Fredrik Von Corswant Vehicle and Traffic Safety Centre at Chalmers (SAFER)

Bengt J H Jacobson Vehicle Engineering and Autonomous Systems

Peter Nilsson Vehicle Engineering and Autonomous Systems

VINNOVA

6 publications exist

There might be more projects where Peter Nilsson participates, but you have to be logged in as a Chalmers employee to see them.