Project

REDO2

Period
1 November 2022-31 December 2025
Project manager
Maytheewat Aramrattana

Full title: Remote automated vehicle operation 2 

The goal of REDO2 project is to further build broader knowledge and create opportunities in the emerging field of remote operation of automated road vehicles. The main problem that the project addresses is how we can support remote operations of a vehicle fleet(s) both from technical and non-technical perspectives such as laws and regulations as well as traffic management. The project continues the work done in previous projects within the area such as REDO, HAVOC, and CORD. 

Key words: remote operation, teleoperation, automated vehicles
 

Short facts

Research area
Road user behaviour
Financier(s)
VINNOVA
Partners
VTI
Carmenta (extern)
CDE (extern)
Einride
Ictech (extern)
Innobrain (extern)
KTH
RISE
Scania
ABC Connect (extern)
More information
Project Website
Project type
SAFER connected project

Related publications

Legal challenges of remote operation as a key transition and safety approach towards fully autonomous vehicles

The role of autonomous vehicles to achieve sustainability goals has been much emphasized, but large-scale implementation is still relatively low. It has been suggested, however, that the use of remote operation of automated road vehicles, as a bridging

Authors : Andersson, Jeanette
Year : 2024
Published in : Towards a Zero-Emissions and Digitalized Transport Sector: Law, Regulation, and Logistics / [ed] Ellen J. Eftestøl; Anu Bask; Maximilian Huemer, Edward Elgar Publishing, 2024, p. 193-213

Remote Driving of Road Vehicles: A Survey of Driving Feedback, Latency, Support Control, and Real Applications

This literature survey explores the domain of remote driving of road vehicles within autonomous vehicles, focusing on challenges and state-of-the-art solutions related to driving feedback, latency, support control, as well as remote driving platform and

Authors : Lin Zhao, Mikael Nybacka, Maytheewat Aramrattana, Malte Rothhämel, Azra Habibovic, Lars Drugge
Year : 2024
Published in : IEEE Transactions on Intelligent Vehicles

The Influence of Motion-Cueing, Sound and Vibration Feedback on Driving Behavior and Experience—A Virtual Teleoperation Experiment

Driving feedback is an important factor that can affect the perceptions of remote drivers of the surrounding environment during teleoperation. This paper focuses on investigating the influence of motion-cueing, sound and vibration feedback on driving

Authors : Lin Zhao, Mikael Nybacka, Lars Drugge, Malte Rothhämel, Azra Habibovic, Henrik Hvitfeldt
Year : 2024
Published in : IEEE Transactions on Intelligent Transportation Systems ( Volume: 25, Issue: 8, August 2024)

Enhanced Model-Free Predictor for Latency Compensation in Remote Driving Systems

Remote driving plays a vital role in coordinating automated vehicles in challenging situations. Data transmission latency, however, can cause several problems in remote driving. Firstly, it can degrade the performance of remote-controlled vehicles, evident

Authors : Lin Zhao, Mikael Nybacka, Malte Rothhämel, Jonas Mårtensson
Year : 2024
Published in : 2024 IEEE Intelligent Vehicles Symposium (IV)

Driving Experience and Behavior Change in Remote Driving: An Explorative Experimental Study

Remote driving plays an essential role in coordinating automated vehicles in some challenging situations. Due to the changed driving environment, the experiences and behaviors of remote drivers would undergo some changes compared to conventional drivers

Authors : L. Zhao, M. Nybacka, M. Rothhämel, A. Habibovic, G. Papaioannou and L. Drugge
Year : 2024
Published in : IEEE Transactions on Intelligent Vehicles

A Roadmap Towards Remote Assistance: Outcomes from Multidisciplinary Workshop at the 2023 Intelligent Vehicles Symposium

Remote operation of highly automated vehicles (HAVs) may include occasional assistance from a human remote operator that is located outside the HAVs. Remote assistance typically delegates only high-level guidance tasks to the remote operators such as

Authors : Maytheewat Aramrattana, Andreas Schrank, Jonas Andersson, Lin Zhao, David Hermann, Sanat Mharolkar, Marek Vanzura, Azra Habibovic & Michael Oehl
Year : 2024
Published in : HCI International 2024

Navigating the challenges of remote operations of automated road vehicles: A socio-technical perspective

The advent of automated driving systems introduces a paradigm shift with the possibility to revolutionize transportation systems on our roads. Benefits of improved safety, and operational efficiency is foreseen by actors in the business and the hopes of

Authors : Jonas Andersson and Mikael Söderman
Year : 2024
Published in : Intelligent Human Systems Integration (IHSI 2024)