Abstract:
In its early stage, tracking devices were most used to locate stolen vehicles. However functionalities can be expanded very far. Built-in functions can be added and extra sensor signals can be added to the standard GPS registrations. Especially fleet management solutions are envisaged currently. With the use of intelligent transport systems, service companies can provide live traffic data, picked up from sensors that monitor vehicle speed, combined with incident reports. The tracking device can be in direct contact with a central server or can send regular reports and data.
Within the FADC project, carried out with the support of the EU-Asia IT&C Programme, experiments were done on the combination of a tracking device with automated traffic jam detection. This would enable fleet managers to optimize their fleet management, save fuel and reduce exhaust gas emissions. On specific routes in Belgium and in India speeds and acceleration profiles were monitored as a function of location, in order to automatically detect deviations from normal fluent traffic. The detection can be done on-board the vehicle and in case of traffic jam detection, the device will send a message to a central server which maps different traffic jam detection massages. The system will of course operate optimal if a sufficient number of vehicles in the traffic are equipped with such device. In the project the focus was on the calibration of the fleet management functionalities of the mobile and in-built vehicle device to local requirements in India. Also based on the typical speed profiles emissions and fuel consumption were calculated with simulation models in order to quantify the possible emission and fuel savings through the use of traffic jam detection.
Full paper:
vehicle data, track & tracing, traffic jam detection, emission simulation |
