Subliminal vibro-tactile based notification of CO ₂ economy while driving

Abstract

A general reduction of carbon dioxide emissions is an important topic currently discussed by both society and government -lower allowed emission values would strongly affect automotive manufacturers as road transport produces, for example, about one fifth of the CO2 emissions in the European Union. But that's not all, also the individual driver could be affected from regulatory mechanisms as it is feasible, not least due to the broad availability of wireless and information technology in cars, to demand the assembly of a "personal carbon dioxide profile" including all the emissions accumulating from operating vehicles, traveling by plane, and even from using public transport, and in succession to charge a person based on its effective CO2 consumption. One problem arising in this field is that an individual usually is not aware about his/her CO2 consumption, neither about which means of transportation produces what amount of carbon dioxide (what is the personal fraction of CO2 for a large plane with 250 passengers traveling 5, 000km?), nor how exactly to drive a vehicle economic or wasting with respect to CO2 emission or what the difference between these two extreme values (in terms of cost) is. To counteract the issue of driving economy, which is the only the driver can directly control, we propose a inattentive operating vibrotactile notification system integrated into the car (safety belt or seating), helping the driver in his/her (i) subjective CO2 valuation and (ii) reduction of CO2 emissions while driving.Results from real driving experiments have shown that drivers tend to drive more economic with regard to carbon dioxide emission when perceiving tactile feedback about their current driving efficiency compared to baseline tests without technology assistance.

Maintain situation awareness in semi-autonomous driving with a haptic seat

“…Dans le cadre de la préparation d'un désengagement, Telpaz et al [12] transmet le mouvement/déplacement des voitures se situant à l'arrière du véhicule tout comme Grah et al [5]. Riener et al [11] utilise les vibrations de manière subliminale pour améliorer la conduite écologique du conducteur en utilisant la partie avant du siège. Chang et al [3] propose 3 expériences utilisant un siège haptique dans différentes situations : la navigation, la réception d'un appel téléphonique et le signalement de l'état du conducteur (somnolence).…”

LESY-ECO: Learning system for eco-driving based on the imitation

“…However, we can estimate the fuel consumption from other sources such as the mass air flow (MAF) sensor, the air/fuel ratio, RPM, effective pressure (MEP), and the fuel consumption map of the specific car. We can find in-depth information about how to estimate fuel consumption/CO2 emission from OBD sensor data and what are the potential problems in [11]. In our case, we estimate the fuel consumption using the speed and the MAF (mass air flow) sensors [12].…”

GAFU: A game to save fuel using social networks

“…However, we can estimate the fuel consumption from other sources such as the mass air flow (MAF) sensor, the air/fuel ratio, RPM, effective pressure (MEP), and the fuel consumption map of the specific car. We can find in-depth information about how to estimate fuel consumption/CO2 emission from OBD sensor data and what are the potential problems in [13]. In our case, we estimate the fuel consumption using the speed and the MAF (mass air flow) sensors [14].…”