An eco‐driving approach for ride comfort improvement

Abstract

New challenges on transport systems are emerging due to the advances that the current paradigm is experiencing. The breakthrough of the autonomous car brings concerns about ride comfort, while the pollution concerns have arisen in recent years. In the model of automated automobiles, drivers are expected to become passengers, so, they will be more prone to suffer from ride discomfort or motion sickness. Conversely, the eco-driving implications should not be set aside because of the influence of pollution on climate and people's health. For that reason, a joint assessment of the aforementioned points would have a positive impact. Thus, this work presents a self-organised map-based solution to assess ride comfort features of individuals considering their driving style from the viewpoint of eco-driving. For this purpose, a previously acquired dataset from an instrumented car was used to classify drivers regarding the causes of their lack of ride comfort and eco-friendliness. Once drivers are classified regarding their driving style, naturallanguage-based recommendations are proposed to increase the engagement with the system. Hence, potential improvements of up to the 57.7% for ride comfort evaluation parameters, as well as up to the 47.1% in greenhouse-gasses emissions are expected to be reached.

A Comprehensive Review of Driving Style Evaluation Approaches and Product Designs Applied to Vehicle Usage-Based Insurance

“…Barabino et al have made a horizontal comparison of the subjective test of driving style and acceleration parameters collected based on Intelligent Transportation System (ITS) tools, trying to establish a comfort measurement table to provide reference suggestions for higher ride comfort [66]. Mata-Carballeira et al have conducted an in-depth analysis of driving data of 20 drivers of different age groups and driving experience levels, and have assessed the driving characteristics, so as to give references for the development of autonomous vehicle driving from the perspective of both ecological driving and ride comfort [67].…”

“…Collaborative perception of geographic data and road condition data [64] CNN [65] Use the available data to evaluate the driving style in terms of energy consumption and comfort Review [66] Integration of subjective and objective driving comfort evaluation [67] Self-organizing map-based data analysis [68] Use available data to identify dangerous driving behavior of vehicles Car following behavior modeling [69] Extract safety indicators from driving speed and acceleration data [70] D-S evidence theory [71] Hazard classification of time-sharing driving action [72] A/D time ratio and A/D distance ratio analysis [73] Micro driving intention recognition using available data…”

Establishing Emergency Sections on Land Roads in Order to Improve the Quality of Transport Services, Creating Comfortable Conditions for International and Local Traffic

“…In conclusion, it could be said that the human factor is the main factor that determines the occurrence of a traffic accident, but the question remains, why traffic accidents are observed more often on some sections of the road than on others [24,25]. For this reason, other causes of the traffic accident, such as the technical condition of the car [26,27,28] and the road infrastructure, are also being examined [29,30,31]. Some researchers see the improvement of safety in the technology of autonomous vehicles [32,33,34], but this is still a distant prospect.…”

Novel coordinated power sources switching strategy for transient performance enhancement of hybrid electric vehicles

“…In these past years, a special consideration was given to HEVs as it can be concluded by the explosively increasing number of articles discussing the adoption of eco-friendly cars (Lin and Wu, 2018; Abo-Khalil et al , 2022). Driving comfort improvement (Mata‐Carballeira et al , 2022), HEV lifetime enhancement (Haram et al , 2021) and power sources durability (Song et al , 2020) represent the major trend subjects discussed the recently published articles in the field of automotive engineering. Since HEVs are in permanent interaction with the harsh external environment conditions, they are always subjected to fast and abrupt load variations, which may cause serious damages in both source and motor sides.…”