BikeSAFER

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BikeSAFER
SAFER logo.jpg
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
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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

Marco Dozza, Chalmers

Start date and duration of project

Start Date and duration of FOT execution

Not known

Geographical Coverage

Gothenburg city, Sweden

Link with other related Field Operational Tests

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…)

Methods for the liaison with the drivers during the FOT execution

Methods for data analysis, evaluation, synthesis and conclusions

Sources of information