Title :
Direct or indirect sensor enabled eco-driving feedback: Which preference do corporate car drivers have?
Author :
Tulusan, J. ; Staake, Thorsten ; Fleisch, E.
Author_Institution :
Inst. of Technol. Manage., St. Gallen Univ., St. Gallen, Switzerland
Abstract :
The increasing demand for energy is rapidly exhausting our planet´s natural resources (e.g. fossil fuels). Corporations with increasingly large car fleets significantly contribute to the volume of CO2 emissions released into the atmosphere. Further investigation is needed to help reduce this escalation in global warming utilizing eco-friendly yet cost effective measures. Internet of Things solutions, using sensor enabled feedback technologies with GPS and accelerometer, offer a medium which provides drivers with eco-driving feedback services. A field-test with 50 corporate car drivers demonstrated an overall improvement in fuel efficiency, supporting literature findings claiming that direct feedback has a greater impact on energy savings than indirect feedback approaches. In this study monetary incentives were irrelevant, as corporate car drivers fuel costs are reimbursed by the company. This provides an attractive opportunity for corporations looking to reduce their CO2 footprint and petrol costs by offering their employees eco-driving applications at minimum costs.
Keywords :
Global Positioning System; Internet of Things; air pollution; driver information systems; ecology; energy conservation; global warming; organisational aspects; sensors; GPS; Internet of things solutions; accelerometer; car fleets; carbon dioxide emissions; corporate car drivers; corporations; eco-driving feedback services; employees; energy savings; fuel efficiency; global warming; indirect sensor enabled eco-driving feedback; monetary incentives; natural resources; petrol costs; sensor enabled feedback technology; Acceleration; Atmospheric measurements; Global Positioning System; Internet; Life estimation; Particle measurements; Vehicles; GPS; accelerometer; corporate car drivers; fuel efficiency; sensor enabled eco-feedback technologies; services;
Conference_Titel :
Internet of Things (IOT), 2012 3rd International Conference on the
Conference_Location :
Wuxi
Print_ISBN :
978-1-4673-1347-6
Electronic_ISBN :
978-1-4673-1345-2
DOI :
10.1109/IOT.2012.6402302