Eco-Driving Rating Based on Average Trip Speed and Evaluation

Abstract

In this work, an eco-driving rating based on the relation between fuel consumption and average trip speed commonly used in traffic engineering is presented. A car following experiment with a driving simulator was used to make an eco-rating chart. The leading car was used to control average speed of each experiment. To calculate the rating, the resulting driving data was divided into trips. For each trip, low level of fuel consumption was given high score while high level was given low score. Rating was given as average of the trip scores. Actual driving data was then used for the leading car for evaluation of the rating. One of the desirable properties of the rating proposed by this work is consistency regardless of traffic conditions. As suggested by the rating chart, it was found that the proposed eco-rating is consistent in terms of ranking drivers around when average trip speed is around 50-70 km/h.

Design and Implementation of a CANBus-Based Eco-Driving System for Public Transport Bus Services

“…Based on the study [19] carried out by USA Federal Government, it was observed that if drivers apply correct techniques while they drive vehicles, significant amount of fuel saving is possible. Within this context, there exist studies intended to evaluate driver performances ( [6], [13], [16], [20]- [24]) or propose the development of systems that assist drivers while they drive ( [14], [25]- [28]).…”

“…They also indicated that there is no any single set of these factors which may lead to a good fuel economy on its own, but several factors were found where the least fuel-efficient vehicle can improve. In [13], the relation between speed and fuel consumption was utilized for an eco-driving rating. A driving simulator was used to provide consistency regardless of traffic conditions and to make an eco-rating chart.…”

“…Further, neither reporting the comparison between performances nor the usage of the previous trips' data retrieved over CANBus for assisting the drivers are considered in those studies. On the other hand, systems proposed in [6], [12], [13] and [37] have similarities with our system in the way of collecting CANBus data, transferring those data from the vehicles to the servers over wireless networks and reporting the eco-driving performances for both single drivers and a group of drivers. Specifically, the system given in [6] and our system use almost the same principle in fair evaluation and reporting of the driver's eco-driving performances.…”

“…Differentiating from similar efforts (e.g. [6], [12], [13], [16]- [18]), our system does not only provide online eco-driving reporting and performance comparison in remote applications out of the vehicles, it also guides the drivers in the vehicles continuously during their trip and helps to control their eco-driving performance instantly within the same comparison group. Developed system was successfully deployed and assessed during 15 months in one of the public metrobus systems, shortly called PMS, a kind of bus rapid transit system.…”

Evaluation of individual ecological driving behavior based on vehicle specific power distribution

“…The findings can be separated into quantitative and qualitative evaluation. In order to take into account how traffic state affects fuel consumption, Chantranuwathana et al [3] created an ecological rating chart using average speed as the rating index and fuel consumption as the rating index. According to the positive link between rush hour and fuel consumption, Murphey et al [4] differentiated individual driving styles of drivers, indicating fuel consumption levels under various driving styles.…”