Aggressive driving, amongst inappropriate driving behaviors, is largely responsible for leading to traffic accidents, which threatens both the safety and property of human beings. With objective reduce accidents improve road safety, effective reliable aggressive recognition methods, enables development behavior analysis early warning systems, are urgently needed. Most recently, research focus has shifted use vehicle motion data, emerged as a new tool phenomenon explanation. As corresponds...

With the continuous growth of electric vehicle ownership, energy consumption has become an important factor restricting its development. Real-time and accurate estimation is essential to alleviate range anxiety help with energy-efficient route planning. This study aims explore factors affecting consumption, estimate vehicles under different road characteristics. Based on real-world driving data in Nanjing over a long period, this analyzed influencing including trip conditions, weather,...

<div class="section abstract"><div class="htmlview paragraph">The interaction between heavy-duty vehicles turning right and non-motor going straight has led to severe traffic crashes. It is essential evaluate the driving risk of in right-turn phase. Increasingly, studies have explored some indicators associated with risk. Based on naturalistic data 121 Nanjing, this research combined factor analysis K-means cluster algorithm assess two scenarios, one without a blind spot warning...

This paper evaluates the traffic safety of freeway interchange merging areas based on conflict technique. The hourly composite risk indexes (HCRI) was defined. By use unmanned aerial vehicle (UAV) photography and video processing techniques, type severity judged. Time to collision (TTC) determined with evaluation index. Then, TTC threshold determined. Quantizing weight by direct losses different severities accidents, calculated HCRI can be obtained. Calibration relevant parameters...

Traffic crashes occur frequently in expressway diverging areas. The influential factors for traffic areas were investigated this study using vehicle trajectory data. An hourly conflict risk index (HCRI) was introduced to develop a prediction model data collectors trained identify severity, and Tracker 5.0 used calculate the time collision (TTC) rear-end lane-change conflicts, respectively. Based on value of direct economic losses, conflicts different types severities is established, severity...

Emotion is an important factor that can lead to the occurrence of aggressive driving. This paper proposes association rule mining-based method for analysing contributing factors associated with driving behaviour among online car-hailing drivers. We collected drivers' emotion data in real time a natural setting. The findings show 29 top 50 rules are related emotions, revealing strong relationship between driver emotions and behaviour. anger, surprised, happy disgusted frequently Negative...

Introduction Despite extensive research on contextual factors will relieve college students’ depressive symptoms, significant gaps remain in understanding the underlying mechanisms of this relationship, particularly through individual strength such as mindfulness and self-esteem. Based self-determination theory, we explore association between parental autonomy support symptoms among Chinese students whether self-esteem serve mediators. Methods A total 1,182 aged 16 to 27 years ( M age =...

Although prior research has shown potential academic difficulties for Tibetan adolescents when coping with the mainstream Han culture, little is known about their psychosocial adjustment. Adopting a person-centered approach, current study explores adjustment profiles based on internalizing indicators (i.e., depression, loneliness, life satisfaction, positive affect, and negative affect) externalizing prosocial behavior antisocial behavior). Moreover, guided by empathy theory, this also...

Although prior research has extensively documented the correlates of growth mindset, little is known about its antecedents in undergraduate students. Guided by self-determination theory, current study investigated association perceived autonomy support (i.e., parental and teacher support) with mindset assessed whether sense coherence mediated this association. A total 1,030 Chinese students (62.4% females; Mage = 20.44, SD 1.52) aged from 18 to 25 years were involved study; they asked fill...

This study provides an approach to identify driving style of truck drivers by using GPS, load condition, and in-vehicle monitoring data investigates the association styles with risky behaviors from macro micro perspectives. The naturalistic used in this were collected 4,357 trucks Hangzhou, China over three months 2021. Six volatility parameters six warning characterize styles. Then, under two conditions identified k-means clustering methods principal component analysis. Finally, one-way...