CarSense: Evaluation of the Potential of In-Vehicle Sensor Data for Road Operators

Abstract

Modern vehicles are equipped with dozens of sensors collecting data for supporting automotive trends like Autonomous and/or Connected Driving. For road operators, in-vehicle data or so-called Extended Floating Car Data (XFCD) are often promised as the Holy Grail for supporting efficient road operations. In this work, we tackle the question of benefits with respect to potential in-vehicle sensor data usage from a road operator’s point of view, focusing on traffic information, traffic management and road maintenance. Key results are amongst others: (1) the need for customized XFCD solutions supporting road operator’s tasks, (2) standardized data access and formats for in-vehicle sensor data, (3) cost-effective integration of XFCD into existing monitoring infrastructure, and (4) the need to actively promote road operator’s interests.

Original document

The different versions of the original document can be found in:

• https://zenodo.org/record/1445945 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

• https://zenodo.org/record/1445945,

http://dx.doi.org/10.5281/zenodo.1445944 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

• https://zenodo.org/record/1445945,

http://dx.doi.org/10.5281/zenodo.1445945 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

DOIS: 10.5281/zenodo.1445945 10.5281/zenodo.1445944