Our projects

Think Tank Traffic Safety Footprint

Year 2020, in conjunction with the 3rd UN Conference on Road Safety, the international community was mature to bring together traffic safety in a sustainability context. Sustainability and road safety must go hand in hand to achieve the 2030 targets.

Driver interaction with automated vehicles in real motorway traffic

While automated vehicles are expected to have a great positive impact on traffic safety, the interaction between manual driven vehicles and automated vehicles remains unknown until their introduction in real traffic. Some of the challenging interactions occur in cut-in (manual

Generating Synthetic Scenarios to Test an AI-Enabled Traffic Measurement System

Traffic is complex! It is the sum of road design, road user behavior, and their interactions. Understanding this dynamic is central to making the transport system efficient, safe, and sustainable — in line with the UN Sustainable Development Goals 11

HOW WE ROLL

Bicycle studies can be dangerous to perform, new solutions may not be easily implementable in the real world, and it can be complicated to collect accurate data in an uncontrolled environment. The bicycle simulators that exist today are often fixed

Advanced Virtual Development Methods for evaluating Communication of Automated Vehicles and VRUs

This project explores how external Human Machine Interfaces (HMIs) can be used by Connected and Automated Vehicles (CAVs) to communicate their presence and intentions to nearby Vulnerable Road Users (VRUs). Virtual Reality will be used to secure efficient evaluations and

SEVVOS

Simulering och Emulering av Vattenspray för Validering av Optiska Sensorer The purpose of the project is to be able to establish a method for simulation of water spray, emulation of water spray in rigs, and to check that the achieved

Self-driving bicycle for Active-Safety test

Full title: Self-driving bikes for more realistic development and testing of, in vehicle, systems for bike safety The goal is to develop self-driving bicycles to perform tests for development and validation of vehicle safety systems. For active safety systems, the

Safe and secure transport corridors in India

Safe and secure transport corridors in India is the first SITIS Project (SSTCI, https://www.sibc.se/sitis-0 ). The aim of the project is to gather an in-depth understanding of road user behavior in the context of intercity bus transport in India, and

AI ROAD SIDE - Recommendation for methodology on AI-based Road-side object identification

The project aims to investigate and specify the Swedish Transport Administration’s requirements for Road-side image processing, e.g. what is state of the art and what has already been done, are there existing solutions we can further utilize? Possible data scources,

Hövding data for risk estimation

With the help of data from Hövding helmets in traffic, the researchers intends to investigate the possibilities of predicting where, and when, accidents are likely to occur. By combining the data from accelerations and GPS information collected by connected Hövding

Report on the safety and traffic flow impact of mixed traffic condition

The development and application of automated driving technology has shown a great potential in improving traffic safety and traffic efficiency. It will bring tremendous impact and subversive changes to the operating mode of the entire traffic system. It will also

AI Aware

AI Powered Awareness for Traffic Safety (Swedish title: AI-förstärkt lägesbild för ökad trafiksäkerhet) The purpose of the project is to establish a strong project-based collaboration between Singapore and Sweden in the Smart Mobility domain with the aim to investigate and

SAFETY DATASET FOR TRAINING AND VALIDATION OF AI PERCEPTION FUNCTIONS IN AD AND ADAS

Project B-0012 within SAFER's Open Research at AstaZero Program. Goals and Purposes The goal of this project is to evaluate crucial experimental properties and data collection configurations for establishing a safety dataset that can be used for AI training and

STRADA – Indepth study

The project will conduct a pilot study to investigate how data in STRADA (Swedish Traffic Accident Data Acquisition) and Trafikverkets Dödsolycksdatabas can be used to develop a national in-depth database for traffic accidents. The plan is for the in-depth studies

Vulnerable Road Users - E-scooter ”target”

The aim of the project is to develop a test object which can be used in development testing. Primary task is to investigate relevant scenarios for Electrical Scooters based on existing Euro NCAP VRU Scenarios and to answer the question

RoDL - Road Data Lab

Support open innovation around roads by making data sets accessible and by providing an infrastructure to promote open innovation and open data collaborations

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