Standing Passenger Comfort: A New Scale for Evaluating the Real-Time Driving Style of Bus Transit Services

Barabino, Benedetto; Coni, Mauro; Olivo, Alessandro; Pungillo, Giuseppe; Rassu, Nicoletta

doi:10.1109/tits.2019.2921807

Cited by 20 publications

(12 citation statements)

References 34 publications

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“…The threshold of vehicle lateral acceleration is 1.96+/-1.96, which is consistent with the acceleration threshold (1.93+/-1.94) obtained by Kuiper [10]. Compared with the results obtained by Barabino et al [14] (2.12+/-2.12), the threshold is smaller, which may be due to different route conditions and traffic management measures. It is not difficult to conclude that passengers are most sensitive to the deceleration of the vehicle.…”

Section: Discussionsupporting

confidence: 88%

“…Some authors evaluated the passenger comfort by the adoption of embedded systems or IMU. By integrating subjective measurements of driving style with objective measurements of longitudinal and transversal accelerations collected by intelligent transportation system tools, Barabino et al [14] established a comfort scale in a real operational environment as a tool to regulate driver behavior, i.e., each driver would be able to recognize when passengers experience conditions of discomfort and acts to improve comfort. Lin et.al [15] proposed a novel Comfort Measuring System (CMS) for public transportation systems.…”

Section: Introductionmentioning

confidence: 99%

“…In Turner and Griffin's study [17][18][19], self-report data about motion sickness were limited to overall symptom ratings obtained from questionnaires, which were administered only once, near the end of each journey. Barabino et al [14] evaluated the passenger comfort related to vehicle motion event, but the vertical component of the acceleration was disregarded, since subjective evaluations were not performed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Can Variations of Vehicle Driving Status Provide Accurate Predictors of Discomfort? A Study on the Actual Driving Test

et al. 2021

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The ride comfort of bus passengers is a critical factor that is recognized to attract greater ridership towards a sustainable public transport system. However, it is challenging to predict bus passenger comfort due to the complex non-linear interaction among various factors. In an application-based study, 18 real driving tests were conducted to analyze the correlation between factors induced by motion sickness and the driving status of the vehicle. We used the user's feedback module (UFM) to record the feelings of passengers, and the six degrees of freedom (6-df) motion parameters were obtained by the accelerometer in the micro electro mechanical system (MEMS) of the smartphone. Then, the data were discriminated and analyzed, and thresholds of the variables affecting the discomfort of passengers in different conditions were obtained. Finally, we established a prediction model of motion sickness duration based on the driving status of vehicles. The result shows that passenger's comfort is most sensitive to vertical acceleration changes when the vehicle is decelerated, and the duration of motion sickness (DMS) can be effectively predicted (79.8%) by the vehicle's lateral acceleration, roll, and pitch angular velocity indicators. The findings of this study provide insights into the potential theoretical basis for policymakers to improve the adjustment of the driving strategies and path trajectory of city buses.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Can Variations of Vehicle Driving Status Provide Accurate Predictors of Discomfort? A Study on the Actual Driving Test

et al. 2021

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“…Safety on board is strictly correlated to driver behavior, hence expected and perceived safety requirements could be investigated by data on driver’s driving style related to accelerations and brakings, right and left curves and vertical jolts. This data could be matched and compared with objective safety requisites measuring longitudinal and transversal accelerations, decelerations and speed, by means of a GPS on bus, to set safety and comfort threshold as in [ 37 ].…”

Section: Discussionmentioning

confidence: 99%

Vulnerable Users and Public Transport Service: Analysis on Expected and Perceived Quality Data

Maltinti

Rassu

Coni

et al. 2020

Computational Science and Its Applications – ICCSA 2020

Self Cite

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Today’s cities are meeting places, economic and social development centers, where all citizens should have the opportunity to live and move, according to adequate quality of life standards. However, this does not always correspond to reality in particular for the most vulnerable categories of the population. So, UN’s 2030 Agenda underlines the need to make cities inclusive and accessible by means, for instance, a suitable transport system for all, and in particular for vulnerable people as older people. A lot of studies presented interesting contributes on how older people choose to move and initiatives taken to address their public transport requirements, but no attention has been given to evaluate expected and perceived quality of public transport system, particularly referring to older people. So, the aim of this study is to highlight which should be the most important attributes of a public transport service (PTS) for over 65 years old passengers and if the local PTS satisfy their desires. By an intercept on board survey in the metropolitan area of Cagliari, it has been shown that, for all users, PTS appears qualitatively adequate with respect to each attribute analysed and vulnerable customers are more satisfied than all.

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“…Martinez et al have summarized that driving style has an important impact on vehicle energy management and driving safety [65]. 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].…”

Section: Drivermentioning

confidence: 99%

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

Nai¹,

Yang²,

Wei³

et al. 2022

Sustainability

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Vehicle insurance is a very important source of income for insurance companies, and it is closely related to the driving style performed by driving behavior. Different driving styles can better reflect the driving risk than the number of violations, claims, and other static statistic data. Subdivide the vehicle insurance market according to the personal characteristics and driving habits of the insured vehicles, and studying the personalized vehicle insurance products, will help the insurance companies to improve their income, help the drivers to change their bad driving habits, and thus help to realize the healthy development of the vehicle insurance industry. In the past 20 to 30 years, more and more insurance companies around the world have launched vehicle usage-based insurance (UBI) products based on driving style analysis. However, up to now, there are few comprehensive reports on commercial vehicle UBI products and their core driving risk assessment methods. On the basis of literature indexing on the Web of Science and other academic platforms by using the keywords involved in vehicle UBI, over 100 relevant works of literature were screened in this paper, and a detailed and comprehensive discussion on the driving style evaluation methods and the design of commercial vehicle UBI products during the past 20 to 30 years has been made, hoping to get a full understanding of the possible factors affecting driving style and the collectible data that can reflect these factors, and to get a full grasp of the developing status, challenges and future trends in vehicle insurance branch of the Internet of Vehicles (IoV) industry.

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Standing Passenger Comfort: A New Scale for Evaluating the Real-Time Driving Style of Bus Transit Services

Abstract: This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.

Cited by 20 publications

References 34 publications

Can Variations of Vehicle Driving Status Provide Accurate Predictors of Discomfort? A Study on the Actual Driving Test

Can Variations of Vehicle Driving Status Provide Accurate Predictors of Discomfort? A Study on the Actual Driving Test

Vulnerable Users and Public Transport Service: Analysis on Expected and Perceived Quality Data

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

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