Publications

Increasing traffic safety at schools in Zambia: a before and after study

Pedestrians are the group most at risk to be involved in a road crash, especially children and young people (World Health Organization, 2023). In the African Region pedestrian fatalities account for 33% of road deaths, although this varies according to

DDI 2024 Abstract book

Traffic Safety Data: Sources, analysis and applications

Traffic fatalities decrease in most high-income countries, though it is still a long journey to reach the Vision Zero target. The trend is quite the opposite in low- and middle-income countries, where road casualty numbers stagnate at best. In both

Slutrapport - Goda exempel på redovisning av säkerhetskultur inom företag och organisationer

Rapporten är framtagen med ekonomiskt bidrag från Skyltfonden. Ståndpunkter och slutsatser i rapporten reflekterar författaren och överensstämmer inte med nödvändighet med Trafikverkets ståndpunkter och slutsatser inom rapportens ämnesområde.

För att kunna

On Optimization-Based Coordination of Automated Vehicles in Confined Sites

Autonomous driving is a major technological challenge, offering potential improvements in safety, efficiency, and comfort for daily transportation. However, the full-scale implementation of fully automated vehicles (AVs) remains distant, primarily due to

Towards More Reliable Pre-Crash Virtual Safety Assessment: The impact of the choice of data types and reference driver models on the assessment of vehicle automation

Road crashes are a major cause of deaths and serious injuries worldwide. New technologies offer the opportunity to reduce road crashes by supporting drivers with advanced driver assistance systems (ADASs), and by taking over the entire driving task—at

Digital Twin-Based Simulated Automotive Radar for Virtual Testing

Modern vehicles are increasingly characterized by software-based systems, and perception sensing technology plays an important part in the safety and the driving experience. The development of a reliable and efficient methodology for perception technology

Digital Twins for Early Verification and Validation of Autonomous Driving Features: Open-source Tools and Standard Formats

Getting real data from safety critical systems for specific, rare situations (e.g., edge cases) is challenging. Moreover, data gathered during operations (e.g., crash reports) are not often publicly accessible and reports might be incomplete. However

Final Project Report CARDIO

A relatively large proportion of fatalities on Swedish roads are due to sudden illness in drivers, with the majority of these cases attributed to cardiovascular disease. Being able to detect and manage these sudden events could save many lives. Various

Characterising Bicyclist Posture in Various Bicycle Types for Safety Evaluation

The growing use of bicycles and the increasing frequency of accidents underscore the need for an in-depth investigation into bicyclists’ kinematics and injuries. This study aims to collect and analyse bicyclists’ posture data across three bicycle types to

Bicyclist Shoulder Forces in Car-to-Bicycle Crash and Single-Bicycle Crash Simulations

Semantic Aware Environment Spatial-Temporal Graph Transformer: A Single-Agent Multi-Class Trajectory Prediction Framework

Trajectory Prediction (TP) plays a pivotal role across various domains, transforming navigationand interaction within complex environments. This study introduces the Semantic Aware Environ-mental Spatial-Temporal Graph Transformer (SAE-STAR) model

A Semantic Representation of Pedestrian Crossing Behavior

In this paper, we focus on the crucial task of understanding and modeling pedestrian behavior, which is essential for numerous applications. We introduce a semantic representation of pedestrian crossing behavior. The representation is to capture the sub

Project poster

Dataset Creator OSI

Dataset: Vehicle Dynamics

Dataset: REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls.

Dense Road Surface Grip Map Prediction from Multimodal Image Data

Slippery road weather conditions are prevalent in many regions and cause a regular risk for traffic. Still, there has been less research on how autonomous vehicles could detect slippery driving conditions on the road to drive safely. In this work, we

Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection

Although LiDAR sensors are crucial for autonomous systems due to providing precise depth information, they struggle with capturing fine object details, especially at a distance, due to sparse and non-uniform data. Recent advances introduced pseudo-LiDAR, i

A Novel Score-Based LiDAR Point Cloud Degradation Analysis Method

Assisted and automated driving systems critically depend on high-quality sensor data to build accurate situational awareness. A key aspect of maintaining this quality is the ability to quantify the perception sensor degradation through detecting

Depth- and semantics-aware multi-modal domain translation: Generating 3D panoramic color images from LiDAR point clouds

This work presents a new depth- and semantics-aware conditional generative model, named TITAN-Next, for cross-domain image-to-image translation in a multi-modal setup between LiDAR and camera sensors. The proposed model leverages scene semantics as a mid

Engineering Safety Requirements for Autonomous Driving with Large Language Models

Changes and updates in the requirement artifacts, which can be frequent in the automotive domain, are a challenge for SafetyOps. Large Language Models (LLMs), with their impressive natural language understanding and generating capabilities, can play a key

Welcome your new ai teammate: On safety analysis by leashing large language models

DevOps is a necessity in many industries, including the development of Autonomous Vehicles. In those settings, there are iterative activities that reduce the speed of SafetyOps cycles. One of these activities is "Hazard Analysis Risk Assessment"(HARA)

Accelerating the Design Phase: Towards DevSafeOps for Autonomous Driving Software

Background: The safety of Autonomous Driving (AD) remains a barrier to its widespread adoption, as evidenced by recent incidents. Factors such as the complex environment, evolving technologies, and shifting regulatory and customer requirements necessitate

Towards Safer Powered Two- and Three-Wheeler Riders: Enhancing Human Body Models for Thoracic Injury Assessment

Powered two- and three-wheelers (PTWs) make up the second largest motor vehicle fleet, with their users representing the most vulnerable group of road users. One of the most common crash scenarios for PTW riders is PTW front-to-passenger car side, which

Quantifying rider posture variability in powered two- and three-wheelers for safety assessment

Objective

Injury outcomes for powered two- and three-wheeler (PTW) riders are influenced by the rider posture. To enable analysis of PTW rider accidents and development of protection systems, detailed whole-body posture data is needed. Therefore, the aim of

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

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

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

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

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

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

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

Simulating Pelvis Kinematics from Belt and Seat Loading in Frontal Car Crash Scenarios: Important Boundary Conditions that Influence the Outcome

Purpose

The risk of submarining during automotive crashes, defined by the lap belt sliding off the pelvis to load the abdomen, is predicted to increase in future autonomous vehicles as greater variation in seating position is enabled. Biofidelic tools are

Podcasts: The CAV Chronicles Episode #1 | Applus+ IDIADA presents SYNERGIES, a new era for automated mobility

Welcome to The CAV Chronicles: Exploring the scenario-based validation for safer mobility.

This series dives into the transformative realm of Connected, Cooperative, and Automated Mobility (CCAM), guided by leading experts shaping the future of transport

Report 2024:06 Development of the SAFER HBM v11

Validation of the SAFER HBM in Rear-Facing Upright and Reclined Position in High-Speed Frontal Impacts

Most Human Body Model (HBM) validation studies have focused on either forward-facing frontal or side impact load cases. In this study, a Finite Element (FE) model of a test setup previously used for rear-facing Post Mortem Human Subjects (PMHS) in high

Developing Lumbar Spine Fracture Injury Risk Functions for Frontal Impact Anthropomorphic Test Devices using Paired Human Body Model Simulations

 Thoracolumbar fractures from car crashes have gained importance over the past halfcentury. While fatal injuries have declined due to vehicle structural- and infrastructural improvements, the rate of moderate and more severe thoracolumbar fractures has

Heterogeneity in Car Occupant Safety Using Numerical Simulations to Address Real-world Safety

This thesis ultimately aims to enhance occupant protection by incorporating aspects of real- world crash heterogeneity, often overlooked within current safety assessments. By investigating the effects of crash heterogeneity and broadening the

Final Report - Knowledge transfer from the founders of Vision Zero

It will soon be 30 years since the birth of Vision Zero and road safety became something everybody working with traffic and urban planning is expected to have knowledge of. A generational change is now taking place where the founders of Vision Zero are

Final Report - REMOSAFE

Despite advancements in automated driving technology, human supervision remains essential in the transport system. Remote operation can support monitoring, assisting, and driving (semi-) automated vehicles from a distance when necessary. However, passive

Final report - Collision matrix for heavy goods vehicles worldwide

By increasing the knowledge regarding fatalities per road users in collision with others, stakeholders in general and industry in particular here can address specific countermeasures. The objective is to describe the nature of the work to identify road

Final Report - Mapping of accident databases worldwide

The present explorative project made a contribution for all SAFER partners by updating the list of accident database available by at least one SAFER partner. An updated excel file with all global accident databases that SAFER partners have access to is

Final Report - Risky Scenario Identification

This study aimed to determine whether perceived risk, as rated by a large group of human participants, could be predicted from basic features extracted using computer vision. To achieve this, we developed a framework for estimating perceived traffic risk

Final Report_Human Factors, Risks and Optimal Performance in Cooperative, Connected and Automated Mobility

The effect of the interaction between Cooperative, Connected and Automated Mobility (CCAM) in scenarios where the ratio of conventional and intelligent vehicles is a topic of interest for researchers and the industry. There is an expected effect on road

Nationell Trafiksäkerhetskonferens - en förstudie

SAFER Vehicle and Traffic Safety Centre at Chalmers has conducted a pre-study to explore the need, opportunities, and conditions for organizing a national traffic safety conference in Sweden. The project background stems from a potential need for a renewed

Final Report - Safety performances of instrumented micro-mobility modes by leveraging microscopic driving behavior data

Shared micro-mobility services offer a sustainable alternative to cars for short trips and as feeders to public transport in cities. However, in several areas, there are concerns with the safety performance of the users of such services. This results in

Framtagning av verktyg för trafiksäkerhetsförbättrande arbete

FinalReport_CyclingRuralRoads

Even though cycling is slowly starting to get recognised as the sustainable mode of transport it is, this is mostly limited to short trips in urban areas. However, also in rural environments the bicycle has potential to replace the car for many trips. Best

THE SAFER HBM – A HUMAN BODY MODEL FOR SEAMLESS INTEGRATED OCCUPANT ANALYSIS FOR ALL ROAD USERS

The development of the SAFER human body model (HBM) started in 2008 and is still ongoing. SAFER HBM is an omni-directional model that can be tuned and scaled (morphed) to correspond to humans of different age, sex, weight, and stature. The model can be