BikeSAFER
| BikeSAFER | |
|---|---|
| General information | |
| Type: Naturalistic driving study | |
| Tested system/service: | |
| Countries: Sweden | ? test users |
| 1 partners | 1 vehicles |
| Active from 2012 to 2013 | |
| Contact | |
| BikeSAFER | |
| Marco Dozza | |
| marco.dozza@chalmers.se | |
| SAFER Europe | |
| Catalogue entries | |
| Data catalogue | Tools catalogue |
| Data sets used in this FOT: No data set is |
The following tools were used in this FOT: No tool is linked |
Preliminary study on feasibility of large-scale Naturalistic Cycling Studies.
The aim of the BikeSAFER project is to collect and analyze naturalistic cycling data. Analyses focus on interaction among road users, cyclist behavior, and accident causation. Results from BikeSAFER will be used as use cases to motivate and guide the development of new intelligent applications, possibly cooperative, to increase traffic safety.
Details of Field Operational Test
Start date and duration of FOT execution
Geographical Coverage
Gothenburg city, Sweden
SEEKING, SAFE E-BIKING, Pedelec Naturalistic Cycling Study, Delft NCS
Objectives
Results
Lessons learned
Main events
Financing
Summary, type of funding and budget
Cooperation partners and contact persons
- Public Authorities:
- Industry
- Vehicle Manufacturer:
- Supplier:
- Users:
- Universities:
- Research Institutes:
- Others (specify):
Applications and equipment
Applications tested
Vehicle
Equipment carried by test users
Infrastructure
Test equipment
Methodology
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
| BikeSAFER | |
|---|---|
| General information | |
| Type: | |
| Tested system/service: | |
| Countries: Sweden | ? test users |
| 1 partner"partner" can not be assigned to a declared number type with value 1. partners | 1 vehicle"vehicle" can not be assigned to a declared number type with value 1. vehicles |
| Active from 2012 to 2013 | |
| Contact | |
| [http://www.chalmers.se/safer/EN/projects/pre-crash-safety/associated-projects/bikesafer] "[http" has not been listed as valid URI scheme. | |
| Project Coordinator | |
| [mailto:marco.dozza@chalmers.se marco.dozza@chalmers.se]URIs of the form "marco.dozza@chalmers.se" are not allowed. | |
| SAFER Europe | |
| Catalogue entries | |
| Data catalogue | Tools catalogue |
| Data sets used in this FOT: No data set is |
The following tools were used in this FOT: No tool is linked |
The aim of the BikeSAFER project is to collect and analyze naturalistic cycling data. Analyses focus on interaction among road users, cyclist behavior, and accident causation. Results from BikeSAFER will be used as use cases to motivate and guide the development of new intelligent applications, possibly cooperative, to increase traffic safety.
Details of Field Operational Test
Type of project
Preliminary study on feasibility of large-scale Naturalistic Cycling Studies
Number of partners
1 Partner
Main Contact person
Start date and duration of project
Start Date and duration of FOT execution
Not known
Geographical Coverage
Gothenburg city, Sweden
SEEKING, SAFE E-BIKING, Pedelec Naturalistic Cycling Study, Delft NCS
Objectives
Results
Lessons learned
Availability of data
Main events
Useful links
Financing
Overall
Public
Private
Champions and Contact persons
- Public Authorities:
- Industry:
- Vehicle Manufacturer:
- Supplier:
- Users:
- Universities:
- Research Institutes:
- Others (specify:
Applications and equipment
Applications tested
Vehicle
Drivers
Infrastructure
Test equipment (Dataloggers, Video cameras…)
Collected data
Methodology
Key milestones of the project
Pre-simulation / Piloting of the FOT
Criteria to achieve scientific results
such as selection of drivers statistically representative of the population etc, minimum sample sizes…
Method for the baseline
(system OFF during a specific amount of time, kms)
Techniques for measurement and data collection
(wireless data transfer, data pickup…)
