Quan Yuan

Tsinghua University | TH · Institute of Intelligent Mobility / School of Vehicle and Mobility

Intelligent cabins have become a hot topic in the development of automated vehicles, with a focus on multimodal human-computer interaction. Using knowledge mapping, this paper investigates international literature regarding intelligent cockpits (IC) over the past 22 years. The research characteristics are analyzed through cluster analysis, based on...

At present, the multi-targets autonomous vehicles identify are mainly various road users such as vehicles and pedestrians in cities. However, in recent years, there are increasing vehicle-animal accidents in pastoral areas of China, and there is a lack of corresponding practical intelligent safety warning measurements. In order to realise the ident...

Background: Many factors are associated with pedestrian injuries and accidents. If a pedestrian is injured in an outdoor public space, we are talking about a “pedestrian fall”. Pedestrian falls are a more common cause of pedestrian injuries than traffic crashes but have received less attention and the literature on this topic is scarce. Aims and m...

This study evaluates the risk level of human-machine collaborative driving takeover in a highway environment under the interaction of non-driving related tasks and takeover request prompt scenarios. Using a driving simulator, a 5x5 factor analysis examined non-driving tasks and takeover prompts. Takeover impact and risk indicator features were extr...

In autonomous driving, target tracking is essential to environmental perception. The study of target tracking algorithms can improve the accuracy of an autonomous driving vehicle's perception, which is of great significance in ensuring the safety of autonomous driving and promoting the landing of technical applications. This study focuses on the fu...

Urban-rural integration is the critical process of urbanization, while during this process there are various corresponding problems generated, safety is the most important one, especially at urban-rural fringe areas due to mixed traffic flow and complicated land use. this study intended to investigate the injury severity interaction between urban a...

With the development of artificial intelligence and networking, intelligent cockpit has gradually become one of the main ways of human-computer interaction, and provides the possibility to solve the problems that threaten driving safety such as “road rage". The intelligent cabin with the function of “emotional interaction” can identify and adjust t...

The rapid development of the Intelligent connected vehicle (ICV) industry has stimulated technological innovation in energy and communication while also highlighting the need for effective policies and road safety measures. Understanding and addressing road safety issues in the context of ICVs can contribute to ICV development and safe driving. Thi...

This study intended to investigate the injury severity of animal-vehicle crashes (AVCs) and identify the contributing factors from the perspective of animals. To achieve this objective, Bayesian random parameter probit regression model with endogenous variable was proposed with a case study application on two places in Inner Mongolia, China. First,...

With the development of smart cities and smart transportation, cities can gradually provide people with more information to facilitate their life and travel, and parking is also inseparable from both of them. Accurate on-street parking demand prediction can improve parking resource utilization and parking management efficiency, as well as potential...

With the development of intelligent vehicles and autonomous driving technology, the safety of vulnerable road user (VRU) in traffic has been more guaranteed, and many research achievements have been made in the key area of collision avoidance decision-making methods. In this paper, the knowledge mapping method is used to mine the available literatu...

This paper investigates the effects of non-driving related tasks, take-over request time, and take-over mode interactions on take-over performance in human–machine cooperative driving in a highway environment. Based on the driving simulation platform, a human–machine collaborative driving simulation experiment was designed with various take-over qu...

Music library is not only a library with artistic characteristics, but also an integrated system of man-machine-environment. This research takes the music library of Tsinghua University Library as an example to evaluate and analyze the corresponding man-machine-environment system. Firstly, the man-machine- environment system of the music library is...

Entering the post-epidemic era, the travel demand for shared cars is increasing day by day. In the normalized epidemic prevention and control, epidemic prevention in shared cars needs to be designed systematically. This paper analyzes the existing risk of COVID-19 propagation based on two perspectives: scenario and data, and discusses the existing...

Highly autonomous vehicles are expected to free human drivers from continuous driving tasks. Therefore, for highly autonomous vehicles, the secondary tasks that human drivers tend to involve in are significantly different from conventional vehicles. Understanding driver preferences for secondary tasks in highly autonomous vehicles is beneficial to...

Speeding is not only an illegal act, but also an important cause of traffic accidents. Judging whether the accident vehicle is speeding is an important work in the process of accident handling. This paper analyzes 903 traffic accidents in Beijing, China in 2020, extracts the time of occurrence, road characteristics, collision types, casualties, veh...

Crashes involving vulnerable road users (VRUs) are types of traffic accidents which take up a large proportion and cause lots of casualties. With methods of statistics and accident reconstruction, this research investigates 378 actual traffic collisions between vehicles and VRUs in China in 2021 to obtain human, vehicle, and road factors that affec...

Traffic collisions are incidents with high fatality rate which generate billions of US dollars of loss worldwide each year. Post-collision scene reconstruction, which involves knowledge of multiple disciplines, is an important approach to restore the traffic collision and infer the cause of it. This paper uses software CiteSpace, VOSviewer, and Sci...

In the original version of the book, the following correction has been made: The title of Chapter 44 has been changed from “Prediction Model of Accident Vehicle Speed Based on Artificial Intelligence Decision Free Algorithm” to “Prediction Model of Accident Vehicle Speed Based on Artificial Intelligence Decision Tree Algorithm”. The book and the ch...

The discrete outcome model is an important method for analyzing the factors affecting crash outcomes. However, the lack of effective approaches for discretizing continuous variables and mining interaction terms are two important problems confronted by such models. To address the above issues, this paper proposes a hybrid approach combining machine...

Accident reconstruction and accident statistics are both classic and innovative research fields for traffic accident research. Vulnerable road users are always the focus groups for road safety, and their collision prevention and injury decrease are the goals that the majority of traffic safety researchers are committed to achieving. This book, bas...

As human-machine collaborative driving systems, highly automated driving vehicles require human drivers to take over when take-over requests are triggered. Extensive studies have shown that drivers’ take-over performance is affected by their fatigue state, traffic conditions, and the take-over time budget (TB). However, there is still a paucity of...

In view of the "Traffic safety and laws" course, a stepwise simulation method for reconstructing complex multiform coupled events is proposed. Firstly, the complex multiform coupled event is divided into many single collision processes with only two participants, and then the first collision between two participants is simulated by employing the si...

Under highly automated driving, it is possible for drivers to work, entertain and relax in the vehicles. These non-driving related activities bring new challenges in designing interior facilities of highly automated vehicles. It is promising to improve highly automated vehicles’ acceptance and user experience by developing interior facilities based...

Studies across many western countries have noted that driver experience is associated with crash risk. However, there are few studies conducted in China where driving patterns tend to be quite different. This paper uses crash fatality data from China for the year 2016 to examine the likelihood of crash involvement given driving experience. Driver b...

This study intended to investigate the influencing factors of pedestrian injury severity at signalized intersections, considering the heterogeneity issue of unobserved factors at different signalized intersections and the spatial attributes with survival models. To achieve the objectives, a Bayesian multilevel parametric survival model was develope...

Purpose – This study aims to investigate the safety and liability of autonomous vehicles (AVs), and identify the contributing factors quantitatively so as to provide potential insights on safety and liability of AVs. Design/methodology/approach – The actual crash data were obtained from California DMV and Sohu websites involved in collisions of AVs...

This paper develops a multivariate spatial model for the joint analysis of daytime and nighttime crash frequencies by injury severity in traffic analysis zones (TAZs). The model specification allows for spatial correlation across TAZs, heterogeneous effects specific to crash time and severity, and correlations across response types under a Bayesian...

The helmet of riders of electric bicycles plays an important role in reducing injuries and deaths in traffic accidents. This paper conducts a questionnaire survey, data analysis and modelling to investigate the influencing factors of electric bicycle helmet wearing. First, living area, gender, age, marital status and education level are selected as...

Traffic accident reconstruction accomplished by traditional deterministic inverse method is highly user-interactive and time-consuming and its solution is hard to convince in court due to various uncertainty in measurements, calculation and modeling. To rapidly identify the unknown impact parameters and simultaneously quantify their uncertainty, an...

A comprehensive research was carried out on the causes and scenarios of cyclists’ use of mobile phones in campus based on ergonomics. Face-to-face interviews and field video recordings were employed to summarize the proportion of cyclists using mobile phones. Questionnaire survey method was used to figure out the frequencies and reasons of cyclists...

In recent years the pedestrian deaths have been declining, but the pedestrian–vehicle death rate in Croatia is still pretty high. This study intended to investigate the injury severity of pedestrian–vehicle crashes and identify the influencing factors. To achieve this goal, the dataset was firstly collected from Traffic Accident Database System mai...

Purpose-The rapid development of Intelligent and Connected Vehicles (ICVs) has boomed a new round of global technological and industrial revolution in recent decades. The Technology Roadmap of Intelligent and Connected Vehicles (2020) comprehensively analyzes the technical architecture, research status and future trends of ICVs. The methodology tha...

Purpose The rapid development of Intelligent and Connected Vehicles (ICVs) has boomed a new round of global technological and industrial revolution in recent decades. The Technology Roadmap of Intelligent and Connected Vehicles (2020) comprehensively analyzes the technical architecture, research status and future trends of ICVs. The methodology tha...

The current research on vehicle driving simulation lacks the participation of real traffic participants, such as pedestrians and cyclists. In this research, the system design is carried out in the aspect of vehicle and pedestrian interactive simulation. Based on the human-machine environment system engineering idea and using the existing simulation...

Based on the intent and operation of drivers, pedestrian collision can be divided into accidental and intentional vehicle ramming collisions. Compared to accidental cases in which the drivers are not able to avoid the collision successfully, intentional collisions are more dangerous for pedestrians. However, there is a lack of researches on judging...

The cases of complex multi-form vehicle crash with vulnerable road users are serious crimes committed. However, there is a lack of practical and repeatable verification method for relevant cases now. This study surveying the data of vehicle-crash scenes, the crash sequences were decoupled into crash patterns among multiple units, and a simulation a...

Despite many prior studies about the determinants of city-level private car ownership in China, limited studies investigate the effects of vehicle regulation policies and relative price (the ratio of the average car price to GDP per capita) on city-level private car ownership simultaneously. Thus, panel data of 212 cities in China from 2006 to 2015...

As there are many factors affecting vehicle lane changes in a tunnel, which leads to the unstable state of vehicles during lane changes and an increase of collision events, a new vehicle lane-changing model is proposed by considering the influence of typical factors such as noise and brightness in a tunnel under a vehicle-to-everything (V2X) enviro...

In this paper, the car-sharing dispute response system was optimized based on the DMAIC method in the Six Sigma theory.The KANO model and questionnaire survey were used to evaluate user needs.Through market research the existing issues and major dispute scenarios were identified. And the improvement methods were analyzed considering the development...

Drivers' behavioral intentions can affect traffic safety, vehicle energy use, and gas emission. Drivers' emotions play an important role in intention generation and decision making. Determining the emergence characteristics of driver intentions influenced by different emotions is essential for driver intention recognition. This study focuses on dev...

Driver’s emotion is a psychological reaction to environmental stimulus. Driver intention is an internal state of mind, which directs the actions in the next moment during driving. Emotions usually have a strong influence on behavioral intentions. Therefore, emotion is an important factor that should be considered, to accurately identify driver’s in...

Intellectualization is regarded as the future mainstream development trend of the automobile industry. The automation level of intelligent vehicles is relatively low so far, and the road traffic system will be in a mixed state of non-autonomous vehicles and vehicles with different levels of automation for a long time. Therefore, the road traffic sy...

Vehicle to vulnerable road user (VRU) crashes occupy a large proportion of traffic crashes in China, and crash injury severity analysis can support traffic managers to understand the implicit rules behind the crashes. Therefore, 554 VRUs-involved crashes are collected from January, 2017, to February, 2021, in a city in northern China, including 322...

This study aimed to explore traffic safety climate by quantifying driving conditions and driving behaviour. To achieve the objective, the random parameter structural equation model was proposed so that driver action and driving condition can address the safety climate by integrating crash features, vehicle profiles, roadway conditions and environme...

Anxiety is a complex emotion characterized by an unpleasant feeling of tension when people anticipate a threat or negative consequence. It is regarded as a comprehensive reflection of human thought processes, physiological arousal, and external stimuli. The actual state of emotion can be represented objectively by human physiological signals. This...

For SAE Level 3 of automated driving (AD), human drivers are considered as the potential fallback and are expected to take over the vehicle when the system issues a takeover request (TOR). Thus, the evaluation takeover performance with regards to driving safety is the key to designing Level 3 AD systems. This study discusses the influence of the re...

In order to realize accurate risk assessment of dynamic and random vulnerable road users under the traffic environment of mixed traffic, this paper proposed a pedestrian risk assessment model considering pedestrian psychological safety distance based on the theory of driving safety field. Firstly, the concept of psychological safety distance, inclu...

For SAE Level 3 of automated driving (AD), human drivers are considered as the potential fallback and are expected to take over the vehicle when the system issues a take-over request (TOR). Thus, the evaluation take-over performance with regards to driving safety is the key to designing Level 3 AD systems. This study discusses the influence of the...

Alcohol is a global risk factor for road trauma. Although drink driving has received most of the scholarly attention, there is growing evidence of the risks of alcohol-impaired walking. Alcohol-impaired pedestrians are over-represented in fatal crashes compared to non-impaired pedestrians. Additionally, empirical evidence shows that alcohol intoxic...

This study intended to investigate the crash injury severity from the insights of the novice and experienced drivers. To achieve this objective, a bivariate panel data probit model was initially proposed to account for the correlation between both time-specific and individual-specific error terms. The geocrash data of Las Vegas metropolitan area fr...

There are certain situations that automated driving (AD) systems are still unable to handle, preventing the implementation of Level 5 AD. Thus, a transition of control, colloquially known as takeover of the vehicle, is required when the system sends a takeover request (TOR) upon exiting the operational design domain (ODD). An adaptive TOR along wit...

Driver's intention is a self‐internal state that represents a commitment to carrying out driving action at the next moment, which could be affected by driver's emotion. Therefore, understanding driver's emotion is an important basis for developing driver intention recognition models. This study aims to gain a better insight of the characteristics o...

In the modern era, a variety of developments in the field of vehicle’s intelligence, networking, electrification, and shared mobility has produced some new designing techniques, testing methods for vehicle ergonomics. Based on the emergence of ergonomics in the automotive industry, this book highlights the development of new trends in intelligence,...

It is urgent to conduct in-depth investigation and research on the safety risks faced by pedestrians in the traffic environment from the human factors to avoid pedestrian collision accidents. Based on the theory of behavior planning, the external factors and internal characteristics that affect pedestrian's cognition of safety risks were extracted...

The multi-dimensional safety of intelligent and connected vehicles (ICV) refers to the comprehensive safety characteristics integrating the requirements of the safety of functions, the safety of human–computer interaction, the security of information and communication, and space–time safety. It is the essential condition to implement the applicatio...

Vehicle-pedestrian crashes take up the majority of casualties of traffic accident. Sometimes, events of vehicle colliding into the crowd are reported, leaving bad social impacts and severe criminal incidents for the public security to urgently investigate and dispose. Therefore, it is essential to conduct in-depth scrutiny and analysis about the in...

Large-scale application of autonomous vehicles requires rigorous testing on actual roads, and the quality and reliability of the test can be guaranteed when dealing with complex traffic risk scenarios. Over 500 cases of traffic accidents occurred within Yizhuang Development Zone in Beijing from 2009 to 2017, a risk scenario database was constructed...

Given the potential difference in drivers’ route familiarity, this study aims to investigate the respective factors contributing to local-vehicle and non-local-vehicle crashes on freeway. Crash data from Kaiyang Freeway in Guangdong Province, China in 2014 are collected for the investigation, where the crashes with all involved vehicles registered...

At SAE Level 3 of driving automation, human drivers are not expected to continuously control the vehicle or monitor the driving environment. However, due to system limitations, drivers would be prompted to intervene and “take-over” the vehicle in certain instances. This brings into question the capability of human driver to take control after being...

Driver's emotion is a psychological reaction to environmental stimulus. Driver intention is an internal state of mind, which directs the actions in the next moment during driving. Emotions usually have a strong influence on behavioral intentions. Therefore, emotion is an important factor that should be considered, to accurately identify driver's in...

Purpose-Individuals' driving behavior data are becoming available widely through Global Positioning System devices and on-board diagnostic systems. The incoming data can be sampled at rates ranging from one Hertz (or even lower) to hundreds of Hertz. Failing to capture substantial changes in vehicle movements over time by "undersampling" can cause...

[This corrects the article DOI: 10.1371/journal.pone.0227869.].

Urban expressway is the main artery of traffic network, and an in-depth analysis of the crashes is crucial for improving the traffic safety level of expressways. This study intended to address the injury severity of expressways in Beijing by proposing Bayesian ordered logistic regression model. Crash data were collected from urban express rings and...

Based on the theory of man-machine-environment system, this study establishes a comfort evaluation framework for university libraries, which include three aspects: workspace environment, physical environment, and humanity environment. Among these factors, physical environment is divided into light, thermal, acoustic, and air dimensions. Referring t...

L3 automatic driving (AD) systems request drivers to take over the control authority of the vehicle by sending takeover request (TOR) before performance boundaries of the systems are reached. And the suitable TOR timing, related to drivers' readiness for takeover and to AD boundaries, is one of the key issues to L3 AD. This study aims at designing...

This report discusses the safety and security of intelligent and connected vehicles (ICV) from a multi-dimensional perspective. Firstly, the intelligent perception of the vehicles provides more time for pre-judgment and more effective safety protection. It also creates conditions for the integrated design of active and passive safety. However, the...

In order to clearly understand the risky riding behaviors of electric bicycles (e-bikes) and analyze the riding characteristics, we review the research results of the e-bike risky riding behavior from three aspects: the characteristics and causes of e-bike accidents, the characteristics of users' traffic behavior, and the prevention and interventio...