|Type: Naturalistic driving study|
|Countries: Sweden||? test users|
|1 partners||15 vehicles|
|Active from 2012 to 2012|
|Chalmers University of Technology|
|Data catalogue||Tools catalogue|
|Data sets used in this FOT:
||The following tools|
were used in this FOT:
BikeSAFE, sponsored by Trafikverket, and BikeSAFER, sponsored by the Swedish funding agency Vinnova, will collect data from 15 bicyclists in Göteborg, Sweden, during the summer of 2012 and will provide the first extended dataset of naturalistic bicycling data.
Background and Details of NDS
In the last 10 years, improved vehicle safety has successfully decreased the number of fatalities and severe injuries from vehicle accidents in Europe (CARE; European road accident database). However, the number of fatalities and severe injuries for vulnerable road users, and more specifically for bicyclists, did not show the same trend. For example, in Göteborg, while the number of injured drivers has decreased by approximately 30% in the last 5 years, the number of injured bicyclists has been constant.
Nowadays, large scale collection of naturalistic driving data is the most promising and credited method to understand accident causation and driver behavior. For example, analyses of naturalistic driving data have quantified the risk associated with engaging in secondary tasks while driving, supporting new legislation to improve vehicle safety. However, this method has not been developed to the same extent for bicycles. To date, only video collection from helmet-mounted cameras has been used to understand bicycle accident causation and bicyclist behavior.
The project preBikeSAFE leveraged on the experience at SAFER (Vehicle and Traffic Safety Center at Chalmers) from euroFOT2 and MASCOT3 to adapt the naturalistic method to bicycles. preBikeSAFE developed a prototype bicycle able to collect data from a number of sensors, namely cameras, inertial measurement units, GPS, brake sensors, and speed sensors. Collection automatically starts when the cyclist begins to ride the bike and stops once the cyclist gets off. Further, data is wirelessly sent to a back office together with a state message detailing the quality and quantity of data collected in each trip.
The project preBikeSAFE successfully piloted the naturalistic bicycling method by collecting data over two weeks and performing preliminary analysis to check data quality and to show how this naturalistic data can improve bicycle safety. Several videos are now on YouTube and show how naturalistic bicycling data can help understand bicycle accident causation and bicyclist behavior. Further, a new tool based on the SAFER100Car and the FOTware software was developed for analysis of naturalistic bicycling data.
Details of Field Operational Test
Start date and duration of FOT execution
The objectives of naturalistic cycling data can be used to:
- Understand accident causation
- Cyclist behavior
- Interaction among road users
- Point out infrastructures limitations
2008.11.27 INTERACTION Kick-off
2009.04.27 WP1 - WP3 joint Workshop
Summary, type of funding and budget
Cooperation partners and contact persons
- Public Authorities:
- Vehicle Manufacturer:
- Universities: Chalmers University
- Research Institutes:
- Others (specify):
Applications and equipment
Equipment carried by test users
Pre-simulation / Piloting of the FOT
Method for the baseline
Techniques for measurement and data collection
Recruitment goals and methods
Methods for the liaison with the drivers during the FOT execution
Methods for data analysis, evaluation, synthesis and conclusions
Sources of information