Assessing safety critical driving patterns of heavy passenger vehicle drivers using instrumented vehicle data – An unsupervised approach

2021 ◽  
Vol 163 ◽  
pp. 106464
Author(s):  
Jahnavi Yarlagadda ◽  
Pranjal Jain ◽  
Digvijay S. Pawar
2020 ◽  
Author(s):  
Sandra Ittner ◽  
Dominik Muehlbacher ◽  
Thomas H. Weisswange

This work investigates which conditions lead to co-driver discomfort aside from classical motion sickness, what characterizes uncomfortable situations and why these conditions lead to discomfort.The automobile is called a “passenger vehicle” as its main purpose is the transportation of people. However, passengers in the car are rarely considered in research about driving discomfort. The few studies in this area focus on driver discomfort, automated vehicles, and on driver assistant systems. An earlier public survey indicated that discomfort is also a relevant problem for co-drivers.An online questionnaire with N = 119 participants and a detailed follow up interview study with N = 24 participants were conducted.The results of the online questionnaire show that co-driver discomfort is a widespread problem (88 %). The results of the interviews indicate that the driving style is the only reason rated as very influential. Frequently mentioned reasons for discomfort are close following or fast driving. Uncomfortable situations were often perceived as safety critical. Participants also felt exposed to these situations. A model for possible cognitive origins of discomfort in co-drivers is proposed based on the study results.Co-driver discomfort is a common problem, highlighting the relevance of further research on supporting co-drivers. The reported correlations and the extension of theories from the areas of stress and self-regulation can help to explain the origin of this discomfort. The results provide a foundation for future design of interventions like human machine interfaces aiming at reducing co-driver discomfort.


Author(s):  
Timothy J. Wright ◽  
Austin M. Svancara ◽  
William J. Horrey

Even owners of the most advanced vehicles often have little understanding of the available in-vehicle technology. Accessible safety-critical information and standard instructional and operational components are potential routes to increase drivers’ knowledge. This article presents a review of information obtained from automobile manufacturers’ websites and operator manuals aimed toward passenger vehicle automated system consumers. This review revealed target areas for researchers, manufacturers, and policy makers to consider. Systems offering comparable functionality varied greatly in their nomenclature, type of feedback provided to drivers, and the accessibility of information about the systems. Also, information pertaining to systems limits was difficult to obtain.


Author(s):  
Yan Li ◽  
Andrew Alleyne

Most engineered systems designed under heavy external constraints share similar dynamics. Using a dimensionless model as system representation, a dimensionless robust controller can be designed and implemented for a class of dynamically similar systems that are different in size. Dimensionless transformations of time scale, inputs and outputs determine a nominal plant model and plant-to-plant uncertainties in a dimensionless form. Using parameter-dependent normalization, a normalized dimensionless model can be derived that has low level of plant-to-plant uncertainties. The benefit of this dimensional analysis is demonstrated by the analysis of a passenger vehicle model for yaw rate control with a database consisting of 36 sets of vehicle data.


Author(s):  
Jennifer Ogle ◽  
Randall Guensler ◽  
Vetri Elango

The Commute Atlanta program is an instrumented vehicle research program funded by the FHWA Value Pricing Program and the Georgia Department of Transportation. A major objective for the multiyear program is to assess the effects of converting fixed automotive costs into variable driving costs. The main research hypothesis is that given a per mile pricing system, participants will modify their driving patterns in an effort to reduce their total costs, pocketing the savings. The Commute Atlanta project includes the parallel collection of instrumented vehicle data, household sociodemographic surveys, 2-day travel diaries, and employer commute options surveys. The research team will monitor the changes in driving patterns and will use statistical analyses of household characteristics, vehicle travel, and relevant employer survey data to examine the relationships between the incentives offered and subsequent travel behavior changes. This paper focuses on the recruitment methods and travel diary response rates for the 2-day diary surveys conducted in February and March 2004. As in other instrumented vehicle studies, researchers collected data that allow the comparison of reported diary travel with monitored vehicle travel. However, this paper focuses on a new type of comparison. Because the households had been recruited into the study 8 months before the diary study and their vehicles were transmitting activity data, the research team could examine whether there were differences in household vehicle activity between that 77% of households that completed the diary data collection and the 23% that did not. The differences were significant at both the high and low ends of the travel-reporting spectrum and may have some major implications for evolving household travel survey methods.


1991 ◽  
Vol 19 (3) ◽  
pp. 122-141 ◽  
Author(s):  
C. Wright ◽  
G. L. Pritchett ◽  
R. J. Kuster ◽  
J. D. Avouris

Abstract A method for determining the effect of suspension dynamics on tire wear has been developed. Typical city cycle maneuvers are defined by instrumented vehicle testing and data in the form of forward velocities and steer angles are used as an input to an ADAMS computer model of the vehicle. A simulation of the maneuvers generates a tire's operating environment in the form of normal load, slip, and camber variations, which contain all the subtle effects of the vehicle's suspension, steering, and handling characteristics. A cyclic repetition of the tire's operating environment is constructed and used to control an MTS Flat-Trac machine. In this way, accelerated tire wear can be generated in the laboratory which is directly related to the design features of the vehicle's suspension and steering systems.


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