Marco Dozza
Marco Dozza received the M.E. degree from the University of Bologna (Bologna, Italy) in 2002 and the Ph.D. degree in bioengineering from the University of Bologna, in collaboration with Oregon Health & Science University (Portland, OR, USA) in 2007. After graduation, he worked as a System Developer for over two years with Volvo Technology, a research and innovation company inside the Volvo group. Since 2009, he has been at Chalmers University of Technology (Göteborg, Sweden) where he is a Professor. Marco Dozza is examiner for the course Active Safety in the Master’s Programme for Mobility Engineering. He is also affiliated with the SAFER Vehicle and Traffic Safety Center, where he leads several projects on traffic safety.
Visar 127 publikationer
How do drivers interact with cyclists at unsignalized intersections? A driving simulator study
Micromobility: new road-user interactions in the urban landscape
Seeing is Believing: How Artificial Eyes Are Making Micromobility Safer
Naturalistic micromobility data: opportunities and threats
Driver Visual Attention Before and After Take-Over Requests During Automated Driving on Public Roads
The right turn: Investigating interactions between drivers and e-scooter riders
Modelling Braking and Steering Avoidance Maneuvers for Micromobility
E-Scooters: Transport or leisure? Findings from naturalistic data collection
Modeling collision avoidance maneuvers for micromobility vehicles
Drivers passing cyclists: How does sight distance affect safety? Results from a naturalistic study
Driver response to take-over requests in real traffic
Data Augmentation via Neural-Style-Transfer for Driver Distraction Recognition
Modeling Drivers’ Strategy When Overtaking Cyclists in the Presence of Oncoming Traffic
Modeling the Braking Behavior of Micro-Mobility Vehicles
Automation aftereffects: the influence of automation duration, test track and timings
It’s about time! Earlier take-over requests in automated driving enable safer responses to conflicts
Drivers’ and cyclists’ safety perceptions in overtaking maneuvers
The development of cycling in european countries since 1990
Driver conflict response during supervised automation: Do hands on wheel matter?
A computational driver model to predict driver control at unsignalised intersections
How do drivers overtake pedestrians? Evidence from field test and naturalistic driving data
What is the relation between crashes from crash databases and near crashes from naturalistic data?
How do oncoming traffic and cyclist lane position influence cyclist overtaking by drivers?
Modelling cyclists’ comfort zones from obstacle avoidance manoeuvres
Modelling discomfort: How do drivers feel when cyclists cross their path?
Modelling Interaction between Cyclists and Automobiles - Final Report
E-bikers’ braking behavior: Results from a naturalistic cycling study
Drivers overtaking cyclists in the real-world: evidence from a naturalistic driving study
A new framework for modelling road-user interaction and evaluating active safety systems
Crash Risk: How Cycling Flow Can Help Explain Crash Data
An Open-Source Data Logger for Field Cycling Collection: Design and Evaluation
Car drivers overtaking cyclists: A European perspective using naturalistic driving data
Using Wireless Communication to Control Road-user Interactions in the Real World
Safety Science Special Issue on Cycling Safety
Using naturalistic data to assess e-cyclist behavior
What is the relation between crashes from crash databases and near-crashes from naturalistic data?
Evaluation of a new narrow and tiltable electric tricycle (e-trike) concept
How do drivers overtake cyclists?
Real-world effects of using a phone while driving on lateral and longitudinal control of vehicles
On the Potential of Accelerating an Electrified Lead Vehicle to Mitigate Rear-End Collisions
Integrating road safety data for single-bicycle crash causation
Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk
Introducing naturalistic cycling data: What factors influence bicyclists' safety in the real world?
Do cyclists on e-bikes behave differently than cyclists on traditional bicycles?
Understanding Bicycle Dynamics and Cyclist Behavior from Naturalistic Field Data
Platform Enabling Intelligent Safety Applications for Vulnerable Road Users
Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving
What factors influence drivers' response time for evasive maneuvers in real traffic?
BikeSAFE – Analysis of Safety-Critical Events from Naturalistic Cycling Data
Dialling, texting, and reading in real world driving: When do drivers choose to use mobile phones?
Chunking: a procedure to improve naturalistic data analysis
BikeCOM – A cooperative safety application supporting cyclists and drivers at intersections
What is the Relation between Bicycle Dynamics and Safety in the Real World?
Recognizing Safety-critical Events from Naturalistic Driving Data
Piloting the Naturalistic Methodology on Bicycles
Deliverable D3.3: Data management in euroFOT
Collection of naturalistic bicycling data is now ongoing
Set-up and real-traffic assessment of an active-safety platform for vulnerable-road-users
Timing Matters: Visual behaviour and crash risk in the 100‐car on‐line data
What is the most effective type of audio-biofeedback for postural motor learning?
On data security and analysis platforms for analysis of naturalistic driving data
An Open Customizable Modular Platform For Analysis of Human Movement in Laboratory and Outdoors
euroFOT: constrains and trade-offs in testing hypotheses
SAFER100Car: a toolkit to analyze data from the 100 Car Naturalistic Driving Study
Chunking: a Method to Increase Robustness of Naturalistic Field-Operational-Test Data Analysis
Vibrotactile biofeedback improves tandem gait in patients with unilateral vestibular loss.
Auditory biofeedback substitutes for loss of sensory information in maintaining stance.
Audio-biofeedback for balance improvement: an accelerometry-based system.
Influence of a portable audio-biofeedback device on structural properties of postural sway.
Audio-biofeedback improves balance in patients with bilateral vestibular loss.
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Visar 38 forskningsprojekt
AI-metoder för visionsbaserad terrestrisk lokalisation
Stöd till MinTOX (intelligenta system för berusningsdetektering i mikromobilitet)
MicroITS - Beräkningsmodeller för säker integrering av mikromobilitet i transportsystemet
Säker integrering av micromobilitet i transportssystem
e-SAFER - Datamodeller för säkra interaktioner mellan (automatiserade) fordon och elsparkcyklar
Cyclist Interaction with Automated Vehicles – CI-AV
AI for Analysis for Naturalistic Driving Data
Undersökning av säkerheten och användarvänligheten av nya eldrivna enpersonsfordon i urban miljö
En jämförande studie av rörelser, verbala och visuella signaler i automatiserade körsystem (ADS)
Modelling Interaction between Cyclists and Automobiles 2
Modellering av Interaktion mellan Cyklister och Fordon 2- MICA2
FOT-E (Field Operational Test dataset Enrichment)
Definiera och klassificera nya elektrifierade fordon för personmobilitet
Driver models for automated driving
MICA - Modellering av Interaktion mellan Cyklister och Fordon
Safety in automated driving (ADS): modelling interaction between road-users and automated vehicles
L3Pilot - Piloting Automated Driving on European Roads
Cyklistkomfortgränser: forskningsöversikt och experimentell ram
MeBeSafe – Measures for Behaving Safely in Traffic
Quantitative Driver Behaviour Modelling for Active Safety Assessment Expansion (QUADRAE)
DIV - Driver Interaction with Vulnerable Road Users
Human Factors of Automated Driving (HFAUTO)
Analysis of the SHRP2 Naturalistic Driving Study Data