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Determining driver perceptions about distractions and modeling their effects on driving behavior at different age groups

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Journal of Traffic and Transportation Engineering(English Edition) 2022年第1期9卷 33-43页

作者： Uneb Gazder Khaled J.Assi Civil Engineering Department University of BahrainIsa TownBahrain Civil and Environmental Engineering Department King Fahd University of Petroleum and MineralsDhahranSaudi Arabia

This study was aimed at determining the driving distractions which are perceived most hazardous and determining the effects of these distractions and age on speed and headway. A questionnaire survey was done to find out the opinion of drivers related to the most hazardous distraction. 639 responses were collected in the survey which were used to determine the top-rated distractions for drivers in Bahrain. Roadside observations were taken to observe the speed, headway, age and type of distraction for the driver. Speed was observed for 48 drivers while headway was observed for 36 drivers along with other parameters. The most hazardous distractions, according to the participants of the questionnaire, are using mobile phones, handling children, and accidents or incidents on the road. Further, the results of the two-way analysis of variance(ANOVA) test and regression analysis demonstrated that using mobile phones and age have a significant effect on both speed and headway. Speed tends to decrease with distraction for all age groups while decreasing the headway for young and middle-aged drivers. The effect of distraction is higher than the effect of age on speed, as well as headway. Texting has the most significant effect among distractions on headway. It is hereby recommended that policymakers should focus on increasing awareness and stringent law enforcement related to handling mobile phones and children, especially for young and middle-aged drivers.

关键词： Traffic engineering Traffic safety driving behavior Speed driving distraction Mobile phone

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Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder

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Frontiers of Information Technology & Electronic Engineering 2022年第3期23卷 452-462页

作者： Xin HE Zhe ZHANG Li XU Jiapei YU College of Electrical Engineering Zhejiang UniversityHangzhou 310027China

driving behavior normalization is important for a fair evaluation of the driving style.The longitudinal control of a vehicle is investigated in this study.The normalization task can be considered as mapping of the driving behavior in a different environment to the uniform condition.Unlike the model-based approach as in previous work,where a necessary driver model is employed to conduct the driving cycle test,the approach we propose directly normalizes the driving behavior using an autoencoder(AE)when following a standard speed profile.To ensure a positive correlation between the vehicle speed and driving behavior,a gate constraint is imposed in between the encoder and decoder to form a gated AE(gAE).This approach is model-free and efficient.The proposed approach is tested for consistency with the model-based approach and for its applications to quantitative evaluation of the driving behavior and fuel consumption analysis.Simulations are conducted to verify the effectiveness of the proposed scheme.

关键词： driving behavior Normalization Gated auto-encoder Quantitative evaluation

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A review of road safety evaluation methods based on driving behavior

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Journal of Traffic and Transportation Engineering(English Edition) 2023年第5期10卷 743-761页

作者： Zijun Du Min Deng Nengchao Lyu Yugang Wang Intelligent Transportation System Research Center Wuhan University of TechnologyWuhan 430063China Engineering Research Center of Transportation Information and Safety Ministry of EducationWuhan 430063China Wuhan Zhongjiao Traffic Engineering Co. Ltd.Wuhan 430000China

Road traffic safety should be evaluated throughout the entire life-cycle of road design,operation,maintenance,and expansion construction.However,traditional methods for evaluating road traffic safety based on traffic accidents and conflict technology are limited by their inability to account for the complex environmental factors involved.To address this issue,a new road safety evaluation method has emerged that is based on driving behavior.Because drivers’behaviors may vary depending on the driving environment and their personal characteristics,evaluating road safety from the perspective of driver behavior has become a popular research topic.This paper analyzes current research trends and mainstream journals in the field of road safety evaluation of driving behavior.Additionally,it reviews the three most commonly used driving behavior data collection methods,and compares the advantages and disadvantages of each.The paper proposes the main application scenarios of road safety evaluation methods based on driving behavior,such as road design,evaluation of the effects of road appurtenances,and intelligent highways.Furthermore,the paper summarizes a driving behavior index system based on vehicle data,driver’s physiological and psychological data,and driver’s subjective questionnaire data.A comprehensive evaluation method based on the fusion of each index system is presented in detail.Finally,the paper points out current research problems and the future development direction of the road safety evaluation method based on driving behavior.

关键词： Traffic engineering Review driving behavior Traffic safety Evaluation

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Thirty years of research on driving behavior active intervention:A bibliometric overview

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Journal of Traffic and Transportation Engineering(English Edition) 2023年第5期10卷 721-742页

作者： Miaomiao Yang Qiong Bao Yongjun Shen Qikai Qu School of Transportation Southeast UniversityNanjing 211189China

To better understand the research focus and development direction in the field of driving behavior active intervention,thereby laying a scientific foundation for further research,we used the combination of topic words and keywords to retrieve relevant articles from the Core Collection Database of Web of Science(WOS).A total of 578 articles published from1992 to 2022 were finally obtained.Firstly,the time distribution characteristics,country distribution,institution distribution and main source journal distribution of published articles were explored.Then,by using the Cite Space and VOSviewer software,cited reference co-citation analysis,keyword co-occurrence analysis and burst detection analysis were carried out respectively to visually explore the knowledge base,research topic,research frontier and development trend of this field.The results indicate that the USA,Australia and China are the three most active countries in the studies of driving behavior active intervention.Accidental Analysis&Prevention,Transportation Research Part F:Traffic Psychology and behavior,and Journal of Safety Research are widely selected journals for publications related to this field.The research frontiers in the field of driving behavior active intervention focus on:“traffic safety and crashes analysis,as well as enforcement intervention”,“driving risk and education for young drivers”,“information provision and driving behavior”,“workload and situation awareness for automated driving”.It is worth noting that in recent years,“warning system”,“time”,“work load”have become research hotspots in this field.To sum up,by a bibliometric overview of research on driving behavior active intervention over the past thirty years,this paper clarifies the development skeleton of this research field,determines its hot topics and research progress,and provides a reference for the follow-up exploratory scientific research in this field.

关键词： driving behavior Active intervention Bibliometric analysis Mapping knowledge domain Visualization

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Safety Evaluation of Commercial Vehicle driving behavior Using the AHP–CRITIC Algorithm

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Journal of Shanghai Jiaotong university(Science) 2023年第1期28卷 126-135页

作者：庞娜罗文广吴若园蓝红莉覃永新苏琦 School of Electrical and Information Engineering Guangxi Key Laboratory of Auto Parts and Vehicle TechnologyGuangxi University of Science and TechnologyLiuzhou 545006GuangxiChina Liuzhou OVM Machinery Co. Ltd.Liuzhou 545005GuangxiChina

To prevent and reduce road traffic accidents and improve driver safety awareness and bad driving be-haviors,we propose a safety evaluation method for commercial vehicle driving behavior.Three driving style clas-sification indexes were extracted using driving data from commercial vehicles and four primary and ten secondary safety evaluation indicators.Based on the stability of commercial vehicles transporting goods,the acceleration index is divided into three levels according to the statistical third quartile,and the evaluation expression of the safety index evaluation is established.Drivers were divided into conservative,moderate,and radical using K-means++.The weights corresponding to each index were calculated using a combination of the analytic hierarchy process(AHP)and criteria importance through intercriteria correlation(CRITIC),and the driving behavior scores of various drivers were calculated according to the safety index score standard.The established AHP-CRITIC safety evaluation model was verified using the actual driving behavior data of commercial vehicle drivers.The calculation results show that the proposed evaluation model can clearly distinguish between the types of drivers with different driving styles,verifying its rationality and validity.The evaluation results can provide a reference for transportation management departments and enterprises.

关键词： commercial vehicle driving behavior analytic hierarchy process(AHP) criteria importance through intercriteria correlation(CRITIC) safety evaluation driving style

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Exploring speeding behavior using naturalistic car driving data from smartphones

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Journal of Traffic and Transportation Engineering(English Edition) 2023年第6期10卷 1162-1173页

作者： Armira Kontaxi Dimosthenis-Marios Tzoutzoulis Apostolos Ziakopoulos George Yannis Department of Transportation Planning and Engineering National Technical University of AthensZografou 15773AthensGreece

The present research aimed to identify critical factors that affect speeding behavior.For that purpose,high-resolution smartphone data collected from a naturalistic driving experiment of 88 drivers were utilized,augmented with data from self-reported questionnaires.Using risk exposure and driving behavior indicators calculated from smartphone sensor data,as well as demographic characteristics and self-reported driving performance,statistical analysis was carried out for modelling the percentage of driving time over the speed limit,namely by means of generalized linear mixed-effects models.More precisely,an overall model was developed for all road environments,and additional separate models were developed for driving on urban and rural roads.The results from the interpretation of the estimated parameters of the models can be summarized as follows:the parameters of trip distance and mobile phone use while driving have been determined as statistically significant and positively correlated with the percentage of speeding time during a driver's trip.In the same context,male drivers and drivers in the age group of18-34 also increase the percentages of speeding instances while driving.Regarding driving behavior as stated on the questionnaire,it seems that low frequencies of self-declared speeding(never or rarely)are statistically significant and negatively correlated with the percentage of speeding time.It is expected that this research can provide considerable gains to society,since the stakeholders including policy makers and industry could rely on the results and recommendations regarding risk factors that appear to be critical for safe driving.

关键词： Road safety driving behavior Speeding Big data Smartphone application

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An analysis on older driver＇s driving behavior by GPS tracking data： Road selection, left/right turn, and driving speed

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Journal of Traffic and Transportation Engineering(English Edition) 2018年第1期5卷 56-65页

作者： Yanning Zhao Toshiyuki Yamamoto Takayuki Morikawa Department of Civil Engineering Nagoya University Nagoya 464-8603 Japan Institute of Materials and Systems for Sustainability Nagoya University Nagoya 464-8603Japan Institute of Innovation for Future Society Nagoya University Nagoya 464-8603Japan

With the high older-related accident ratio and increasing population aging problem, understanding older drivers＇ driving behaviors has become more and more important for building and improving transportation system. This paper examines older driver＇s driving behavior which includes road selection, left/right turn and driving speed. A two-month experiment of 108 participants was carried out in Aichi Prefecture, Japan. Since apparently contradictory statements were often drawn in survey-based or simulators-based studies, this study collected not only drivers＇ basic information but also GPS data. Analysis of road selection demonstrates that older drivers are reluctant to drive on expressway not only in short trips but also in long trips. The present study did not find significant difference be- tween older drivers and others while turning at the intersections. To investigate the impact factors on driving speed, a random-effects regression model is constructed with explan- atory variables including age, gender, road types and the interaction terms between age and road types. Compared with other variables, it fails to find that age （60 years old or over） has significant impact on driving speed. Moreover, the results reflect that older drivers drive even faster than others at particular road types： national road and ordinary municipal road. The results in this study are expected to help improve transportation planning and develop driving assistance systems for older drivers.

关键词： Older driver driving behavior Road selection Left/right turn driving speed

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Human-Like Decision-Making of Autonomous Vehicles in Dynamic Traffic Scenarios

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自动化学报:英文版 2023年第10期10卷 1905-1917页

作者： Tangyike Zhang Junxiang Zhan Jiamin Shi Jingmin Xin Nanning Zheng National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and ApplicationsXi’an 710049 Institute of Artificial Intelligence and Robotics Xi’an Jiaotong UniversityXi’an 710049China Momenta Shanghai 201804China

With the maturation of autonomous driving technology, the use of autonomous vehicles in a socially acceptable manner has become a growing demand of the public. Human-like autonomous driving is expected due to the impact of the differences between autonomous vehicles and human drivers on safety.Although human-like decision-making has become a research hotspot, a unified theory has not yet been formed, and there are significant differences in the implementation and performance of existing methods. This paper provides a comprehensive overview of human-like decision-making for autonomous vehicles. The following issues are discussed: 1) The intelligence level of most autonomous driving decision-making algorithms;2) The driving datasets and simulation platforms for testing and verifying human-like decision-making;3) The evaluation metrics of human-likeness;personalized driving;the application of decisionmaking in real traffic scenarios;and 4) The potential research direction of human-like driving. These research results are significant for creating interpretable human-like driving models and applying them in dynamic traffic scenarios. In the future, the combination of intuitive logical reasoning and hierarchical structure will be an important topic for further research. It is expected to meet the needs of human-like driving.

关键词： Autonomous vehicles decision-making driving behavior human-like driving

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Factors affecting truck driver behavior on a road safety context:A critical systematic review of the evidence

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Journal of Traffic and Transportation Engineering(English Edition) 2023年第5期10卷 835-865页

作者： Balamurugan Shandhana Rashmi Sankaran Marisamynathan Department of Civil Engineering National Institute of Technology(NIT)Tiruchirappalli 620015India

Road traffic injuries and crashes are one of the major public concerns contributing to mortality and morbidity figures across the globe.Researchers estimated that around 90%of all causative factors for crashes are attributed to road users of which drivers are the principal controlling elements.Therefore,understanding complex human driver behavior and their possible violations or errors are necessary to control and prevent accident occurrence to a considerable extent.Studies on driver behavior of commercial vehicles such as trucks are scattered widely and scarcely explored hindering the possibility of road safety outcomes.This underscores the need to excavate and synthesize the past studies for an effective understanding of human factors causing truck crashes.In this paper,an attempt has been made to systematically review the pieces of literature and to identify the causative factors affecting truck driver behavior.The trend of studies shows a promising framework for improving truck driver safety on taking care of human factors influencing crashes.Most kinds of literature have cited unsafe driving behaviors as a predominant source of truck crashes.The outcomes of this research can be utilized by transportation firms and stakeholders for identifying the possible lags to develop pragmatic and possible effective preventive measures featuring truck driver safety.

关键词： driving behavior Road safety Truck Crash Aberrant

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CAR-FOLLOWING MODEL BASED ON driving behavior AND RESEARCH ON THE STABILITY OF THE MODEL

CAR-FOLLOWING MODEL BASED ON DRIVING BEHAVIOR AND RESEARCH O...

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第一届交通运输工程国际学术会议

作者： Hao-Ran Zhang1 2 Wei Wang3 and Gang Ren4 1School of Transportation Southeast University Postcode: 210096 Nanjing Jiangsu China 2China Highway Planning and Design Institute (HPDI) Consultants INC. Postcode:100010 Beijing China 3School of Transportation Southeast University Postcode: 210096 Nanjing Jiangsu China 4School of Transportation Southeast University Postcode: 210096 Nanjing Jiangsu China

Established car-following model based on driving behavior, and look forward to be applied in traffic simulation, traffic safety and intelligent transport control. Researched on different driving behavior and established car-following model correspondingly. By analyzing the model, determined the reasonable value range of the parameters and simulated various car-following processes. The car-following model established based on driving behavior can simulate actual driving behavior precisely. The value range of parameters of car-following models established according to different driving behavior is different. Different driving behavior requires different safe headway. When the values of the parameter exceed the rational range, the corresponding car-following behavior is unsafely. We drew the conclusion by simulation of car-following motorcade: taking safe time headway as definition of safe headway is superior to using safe space headway;vehicles in fluctuant motorcade must keep longer safe headway than in stable motorcade;the accelerating or decelerating performance of vehicles has small influence to safe headway;vehicles have better accelerating performance must keep longer safe headway, and vehicle has worse decelerating performance requires longer safe headway.

关键词： traffic safety traffic simulation driving behavior car-following car-following model safe headway

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