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Modelling lane-changing execution behaviour in a connected environment:A grouped random parameters with heterogeneity-in-means approach

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Communications in Transportation Research 2021年第1期1卷 61-74页

作者： Yasir Ali Zuduo Zheng Md Mazharul Haque School of Civil&Environment Engineering Faculty of EngineeringQueensland University of TechnologyBrisbane4000Australia School of Civil Engineering Faculty of EngineeringArchitectureand Information TechnologyThe University of QueenslandBrisbane4000Australia

Lane-changing is performed either to follow the route to a planned destination(i.e.,mandatory lane-changing)or to achieve better driving conditions(i.e.,discretionary lane-changing).A connected environment is expected to assist during lane-changing manoeuvres,but it is not known well how driving aids in a connected environment assist lane-changing *** such,this study investigates the impact of a connected environment on lanechanging execution time during mandatory and discretionary lane-changing *** this end,this study designed an advanced driving simulator experiment where 78 drivers performed these manoeuvres on a simulated motorway in three randomised driving *** conditions were baseline(without driving aids),a fully functioning connected environment with a perfect supply of driving aids,and an impaired connected environment with delayed driving *** lane-changing execution time has been modelled by a random parameters hazard-based duration modelling approach,which accounts for the panel nature of data and captures the unobserved *** suggest that,compared to the baseline condition(i.e.,a non-connected environment),most of the drivers in the connected environment take more time to complete their lane-changing manoeuvres,indicating drivers’safer lane-changing execution behaviour in the connected *** communication delay driving condition has been found to have more deteriorating effects on mandatory lanechanging manoeuvres than discretionary lane-changing *** study concludes that(i)the connected environment increases safety margin during both lane-changing manoeuvres,and(ii)a higher magnitude of safety margin is observed during mandatory lane-changing manoeuvres whereby drivers have a higher need for assistance.

关键词： Lane-changing Mandatory lane-changing Discretionary lane-changing Connected environment Advanced driving simulator random parameters

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Evaluating the impact of traffic violations on crash injury severity on Wyoming interstates:An investigation with a random parameters model with heterogeneity in means approach

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Journal of Traffic and Transportation Engineering(English Edition) 2022年第4期9卷 654-665页

作者： Anas Alrejjal Milhan Moomen Khaled Ksaibati Department of Civil and Architectural Engineering University of WyomingLaramieWY 82070USA South Carolina Department of Transportation ColumbiaSC 29202USA

This study investigated the impact of traffic violations on crash injury severity on Wyoming’s interstate highways.A random parameters multinomial logit(MNL)model with heterogeneity in means was estimated as an alternative to the mixed logit *** was done to better account for unobserved heterogeneity in the crash *** per the results,the random parameters model with heterogeneity in means not only exhibited a better fit but also uncovered more insights regarding the factors influencing crash injury *** advanced model showed that traffic violations,crash characteristics and environmental characteristics among other factors impact crash injury severity on Wyoming’s interstate *** regards to traffic violations,driving too fast for prevailing conditions and driving under the influence of alcohol and drugs were identified as the main violations that significantly influenced crash *** other useful insights,the heterogeneity in mean specification indicated that the likelihood of severe injury crashes is increased by the interactive effect between non-trucks(vehicles not classified as trucks)and driving too fast for *** is a significant implication that high speed behavior by non-truck drivers in adverse weather conditions is ranked as one of the hazardous traffic violations on Wyoming’s *** study provided for the first time important information on the impact of traffic violations on crash severity of crashes that occurred on challenging roadways that characterized by mountainous terrain and severe weather *** from the study will help enforcement agencies in the state to better identify appropriate countermeasures to mitigate the impact of violations on crash severity.

关键词： random parameters Heterogeneity in means Injury severity Interstate safety

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Modeling severities of motorcycle crashes using random parameters

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Journal of Traffic and Transportation Engineering(English Edition) 2021年第2期8卷 225-236页

作者： Ahmed Farid Khaled Ksaibati Wyoming Technology Transfer Center Department of Civil and Architectural EngineeringUniversity of WyomingLaramieWY 82071USA

One of the critical areas of road safety is motorcycle safety. Motorcyclists are more vulnerable to injuries than occupants of other motor vehicles when involved in *** have studied the relationships between motorcycle crash severity and crash contributing factors. They are crash characteristics, roadway geometric design features,traffic characteristics, socio-demographics and environmental conditions. However, few researchers considered unobserved heterogeneity effects when modeling motorcycle crash injury severities, let alone interaction effects. In this research, motorcycle crashes in Wyoming that occurred from 2008 to 2017 were analyzed. Specifically, the injury severities of single motorcycle crashes and multiple vehicle crashes involving motorcycles were modeled. The response was whether the motorcycle crash incurred an incapacitating injury or fatality or not. The binary logistic regression and mixed binary logistic regression modeling structures were implemented. The mixed models revealed effects that otherwise would have been undisclosed in the binary logistic regression models’ results. According to the results of single motorcycle crashes, the majority of motorcycle-animal crashes and of motorcycle-barrier crashes were likely to be severe relative to other single motorcycle crashes. It was also found that horizontal curves increased the risk of severe *** riders were found to be less at risk of being gravely injured in single motorcycle crashes than older riders as well. Furthermore, riding under the influence and high posted speed limits increased the odds of severe crashes regardless of whether the crashes were single motorcycle crashes or multiple vehicle crashes involving motorcycles. Additionally,the mixed models uncovered interaction effects and unobserved effects pertaining to speed limits.

关键词： Transportation engineering Motorcycle safety Injury severity Logistic regression random parameters

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An Augmented Cubature Kalman Filter for Nonlinear Dynamical Systems with random parameters 36

An Augmented Cubature Kalman Filter for Nonlinear Dynamical ...

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第36届中国控制会议

作者： Xiaomei Qu Lei Mu College of Computer Science and Technology Southwest University for Nationalities

ISBN: (纸本)9781538629185

In this paper, we investigate the Bayesian filtering problem for discrete nonlinear dynamical systems which contain random parameters. An augmented cubature Kalman filter(CKF) is developed to deal with the random parameters, where the state vector is enlarged by incorporating the random parameters. The corresponding number of cubature points is increased, so the augmented CKF method requires more computational complexity. However, the estimation accuracy is improved in comparison with that of the classical CKF method which uses the nominal values of the random parameters. An application to the mobile source localization with time difference of arrival(TDOA) measurements and random sensor positions is provided where the simulation results illustrate that the augmented CKF method leads to a superior performance in comparison with the classical CKF method.

关键词： Cubature Kalman filter augmented system cubature point random parameters

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Reliability analysis of structure with random parameters based on multivariate power polynomial expansion

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Journal of Southeast University(English Edition) 2017年第1期33卷 59-63页

作者：李烨君黄斌武汉理工大学土木工程与建筑学院武汉430070

A new method for calculating the failure probabilityof structures with random parameters is proposed based onmultivariate power polynomial expansion, in which te uncertain quantities include material properties, structuralgeometric characteristics and static loads. The structuralresponse is first expressed as a multivariable power polynomialexpansion, of which the coefficients ae then determined by utilizing the higher-order perturbation technique and Galerkinprojection scheme. Then, the final performance function ofthe structure is determined. Due to the explicitness of theperformance function, a multifold integral of the structuralfailure probability can be calculated directly by the Monte Carlo simulation, which only requires a smal amount ofcomputation time. Two numerical examples ae presented toillustate te accuracy ad efficiency of te proposed metiod. It is shown that compaed with the widely used first-orderreliability method （ FORM） and second-order reliabilitymethod （ SORM）, te results of the proposed method are closer to that of the direct Monte Carlo metiod,and it requires much less computational time.

关键词： reliability random parameters multivariable power polynomial expansion perturbation technique Galerkin projection

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Dynamic simulation of beam-like structure with a crack subjected to a random moving mass oscillator

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Earthquake Engineering and Engineering Vibration 2009年第3期8卷 447-458页

作者： M.M.Ettefagh M.H.Sadeghi M.Rezaee Vibration and Modal Analysis Laboratory 51666-14766Department of Mechanical EngineeringUniversity of TabrizTabrizIran

In this paper, dynamic simulation of a beam-like structure with a transverse open crack subjected to a random moving mass oscillator is investigated. The simultaneous effect of a crack and a random oscillator has not been addressed up to now. The crack in the beam at different locations and with different depths is considered as one group of damage, each as an individual imperfection. In addition, bearing immobility is considered as another type of problem in the beam. Mass, stiffness, damping and velocity of the oscillator are assumed to be random parameters. An improved perturbation technique is applied to reduce the simulation time. It was found that there is a maximum value of the variance of each uncertain parameter, in which the maximum reliability of the perturbation method can be achieved, and that this maximum value can be obtained by the Alpha-Hilber Monte-Carlo simulation method. The simulation results reveal that the mass and the velocity uncertainty cause high uncertainty in the deflection of the beam. Also, the pattern of the deflection is not affected by different random oscillator parameters, and as a result, the type of damage can be identified even with high uncertainty. Moreover, the deflection in the nodes around the mid-span of the beam provides the best information regarding the imperfections, and consequently leads to the best sensor locations in an actual experiment.

关键词： bridge-vehicle interaction moving mass oscillator random parameters Monte-Carlo simulation perturbation method

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