Behavior Analysis And Modeling Of Traffic Participants
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Behavior Analysis And Modeling Of Traffic Participants
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Author : Xiaolin Song
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Behavior Analysis And Modeling Of Traffic Participants written by Xiaolin Song and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
A road traffic participant is a person who directly participates in road traffic, such as vehicle drivers, passengers, pedestrians, or cyclists, however, traffic accidents cause numerous property losses, bodily injuries, and even deaths to them. To bring down the rate of traffic fatalities, the development of the intelligent vehicle is a much-valued technology nowadays. It is of great significance to the decision making and planning of a vehicle if the pedestrians' intentions and future trajectories, as well as those of surrounding vehicles, could be predicted, all in an effort to increase driving safety. Based on the image sequence collected by onboard monocular cameras, we use the Long Short-Term Memory (LSTM) based network with an enhanced attention mechanism to realize the intention and trajectory prediction of pedestrians and surrounding vehicles. However, although the fully automatic driving era still seems far away, human drivers are still a crucial part of the road‒driver‒vehicle system under current circumstances, even dealing with low levels of automatic driving vehicles. Considering that more than 90 percent of fatal traffic accidents were caused by human errors, thus it is meaningful to recognize the secondary task while driving, as well as the driving style recognition, to develop a more personalized advanced driver assistance system (ADAS) or intelligent vehicle. We use the graph convolutional networks for spatial feature reasoning and the LSTM networks with the attention mechanism for temporal motion feature learning within the image sequence to realize the driving secondary-task recognition. Moreover, aggressive drivers are more likely to be involved in traffic accidents, and the driving risk level of drivers could be affected by many potential factors, such as demographics and personality traits. Thus, we will focus on the driving style classification for the longitudinal car-following scenario. Also, based on the Structural Equation Model (SEM) and Strategic Highway Research Program 2 (SHRP 2) naturalistic driving database, the relationships among drivers' demographic characteristics, sensation seeking, risk perception, and risky driving behaviors are fully discussed. Results and conclusions from this short book are expected to offer potential guidance and benefits for promoting the development of intelligent vehicle technology and driving safety.
Behavior Analysis And Modeling Of Traffic Participants
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Author : Xiaolin Song
language : en
Publisher: Springer
Release Date : 2021-12-02
Behavior Analysis And Modeling Of Traffic Participants written by Xiaolin Song and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Technology & Engineering categories.
A road traffic participant is a person who directly participates in road traffic, such as vehicle drivers, passengers, pedestrians, or cyclists, however, traffic accidents cause numerous property losses, bodily injuries, and even deaths to them. To bring down the rate of traffic fatalities, the development of the intelligent vehicle is a much-valued technology nowadays. It is of great significance to the decision making and planning of a vehicle if the pedestrians' intentions and future trajectories, as well as those of surrounding vehicles, could be predicted, all in an effort to increase driving safety. Based on the image sequence collected by onboard monocular cameras, we use the Long Short-Term Memory (LSTM) based network with an enhanced attention mechanism to realize the intention and trajectory prediction of pedestrians and surrounding vehicles. However, although the fully automatic driving era still seems far away, human drivers are still a crucial part of the road‒driver‒vehicle system under current circumstances, even dealing with low levels of automatic driving vehicles. Considering that more than 90 percent of fatal traffic accidents were caused by human errors, thus it is meaningful to recognize the secondary task while driving, as well as the driving style recognition, to develop a more personalized advanced driver assistance system (ADAS) or intelligent vehicle. We use the graph convolutional networks for spatial feature reasoning and the LSTM networks with the attention mechanism for temporal motion feature learning within the image sequence to realize the driving secondary-task recognition. Moreover, aggressive drivers are more likely to be involved in traffic accidents, and the driving risk level of drivers could be affected by many potential factors, such as demographics and personality traits. Thus, we will focus on the driving style classification for the longitudinal car-following scenario. Also, based on the Structural Equation Model (SEM) and Strategic Highway Research Program 2 (SHRP 2) naturalistic driving database, the relationships among drivers' demographic characteristics, sensation seeking, risk perception, and risky driving behaviors are fully discussed. Results and conclusions from this short book are expected to offer potential guidance and benefits for promoting the development of intelligent vehicle technology and driving safety.
The Latest Developments And Challenges In Biomedical Engineering
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Author : Paweł Strumiłło
language : en
Publisher: Springer Nature
Release Date : 2023-09-10
The Latest Developments And Challenges In Biomedical Engineering written by Paweł Strumiłło and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-10 with Technology & Engineering categories.
The book contains 35 chapters, in which you can find various examples of the development of methods and/or systems supporting medical diagnostics and therapy, related to biomedical imaging, signal and image processing, biomaterials and artificial organs, modelling of biomedical systems, which were presented as current research topics at the 23rd Polish Biocybernetics and Biomedical Engineering Conference, held at the Institute of Electronics, Lodz University of Technology in September 2023. The ongoing and dynamic development of AI-based data processing and analysis methods plays an increasingly important role in medicine. This book addresses these issues by presenting applications of such methods in various areas, such as disease diagnosis and prediction, particularly through the use of image data analysis algorithms. Other topics covered include personalized medicine, where multimodal patient data is acquired and analyzed, as well as robotic surgery and clinical decision support. The book is of interest to an advanced and broad readership, including researchers and engineers representing both medical, biological, and engineering viewpoints. Its readers may also be graduate and postgraduate students in various fields such as biomedical engineering, artificial intelligence, biomaterials, and medical electronics, as well as software developers in R&D departments working in the field of intelligent healthcare engineering.
Computational Intelligence For Traffic And Mobility
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Author : Wuhong Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-12
Computational Intelligence For Traffic And Mobility written by Wuhong Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-12 with Computers categories.
This book presents the new development of computation intelligence for traffic, transportation and mobility, the main contents include traffic safety, mobility analysis, intelligent transportation system, smart vehicle, transportation behavior, driver modeling and assistance, transportation risk analysis and reliability system analysis, vehicle operation and active safety, urban traffic management and planning.
Data Science And Simulation In Transportation Research
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Author : Janssens, Davy
language : en
Publisher: IGI Global
Release Date : 2013-12-31
Data Science And Simulation In Transportation Research written by Janssens, Davy and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-31 with Computers categories.
Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.
Liss 2012
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Author : Zhenji Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-19
Liss 2012 written by Zhenji Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-19 with Business & Economics categories.
Information and communication technology has helped to provide a more effective network infrastructure and development platform for logistics and service operations. In order to meet the needs of consumers, and particularly to promote low-carbon development processes, new types of services will also emerge. LISS 2012 is a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of logistics, informatics, service operations and service science. Experts and researchers from related fields will discuss current issues and future development opportunities, discuss and analyze developing trends and exchange the latest research and academic thought. The theme of the conference is Logistics and Service Science based on the Internet of Things.
Deep Reinforcement Learning Based Energy Management For Hybrid Electric Vehicles
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Author : Yeuching Li
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2022-02-14
Deep Reinforcement Learning Based Energy Management For Hybrid Electric Vehicles written by Yeuching Li and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Computers categories.
The urgent need for vehicle electrification and improvement in fuel efficiency has gained increasing attention worldwide. Regarding this concern, the solution of hybrid vehicle systems has proven its value from academic research and industry applications, where energy management plays a key role in taking full advantage of hybrid electric vehicles (HEVs). There are many well-established energy management approaches, ranging from rules-based strategies to optimization-based methods, that can provide diverse options to achieve higher fuel economy performance. However, the research scope for energy management is still expanding with the development of intelligent transportation systems and the improvement in onboard sensing and computing resources. Owing to the boom in machine learning, especially deep learning and deep reinforcement learning (DRL), research on learning-based energy management strategies (EMSs) is gradually gaining more momentum. They have shown great promise in not only being capable of dealing with big data, but also in generalizing previously learned rules to new scenarios without complex manually tunning. Focusing on learning-based energy management with DRL as the core, this book begins with an introduction to the background of DRL in HEV energy management. The strengths and limitations of typical DRL-based EMSs are identified according to the types of state space and action space in energy management. Accordingly, value-based, policy gradient-based, and hybrid action space-oriented energy management methods via DRL are discussed, respectively. Finally, a general online integration scheme for DRL-based EMS is described to bridge the gap between strategy learning in the simulator and strategy deployment on the vehicle controller.
Traffic And Transport Psychology
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Author : Talib Rothengatter
language : en
Publisher: Elsevier
Release Date : 2004-09-08
Traffic And Transport Psychology written by Talib Rothengatter and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-08 with Transportation categories.
This volume gives an overview of the trends in Traffic and Transport Psychology. It reflects the considerable development of the most important factors for driving a road vehicle, and the variety of international research approaches. The first part contains basic approaches and integrated models as well as general theories and their implementation into Traffic and Transport Psychology. The second part deals with the driver, especially cognition, performance, social and differential effects and impairment. Important aspects are treated, such as speed perception, reaction times, interaction, risk acceptance, aggression and gender differences. Special chapters refer to performance and fatigue. The third part focuses on safety, driver support, selection and influencing drivers by enforcement, training and programs for the rehabilitation of traffic offenders. Classic ergonomic methods are discussed as well as modern telematic devices, or trends regarding driver-assessment. In the last part, current developments are presented in relation to better mobility and the protection of the environment. Questions are asked, such as whether we could reduce the use of cars, how travel behaviour can be modified or to what extent the use of alternatives to motor vehicles benefits safety as well as the environment. This work is not only important for psychologists. It should be read by all transport professionals interested in the application of psychology to traffic.
The Intelligent Safety Of Automobile
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Author : Jianqiang Wang
language : en
Publisher: Springer Nature
Release Date : 2023-11-27
The Intelligent Safety Of Automobile written by Jianqiang Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-27 with Technology & Engineering categories.
The book expounds the current research and development trend of intelligent safety technology of automobile, and analyzes and excavates the new safety technology to the automobile. It introduces the basic theory, core method, key technology, main system, test evaluation and innovation practice of intelligent safety of automobile for readers, providing a certain theoretical and practical basis for the safety development of the automobile.This book is elaborated from the perspective of the driver-vehicle-road system. The traffic accidents are divided into three stages for discussion: before, during and after the collision. This book constructs a new systematic structure for Safety theory and technical system of several key links, including system safety, operation safety, intelligent protection and safety evaluation. It will be a useful reference for researchers and practitioners in the field of automobile engineering and auto pilot.
Proceedings Of The 13th International Conference On Man Machine Environment System Engineering
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Author : Shengzhao Long
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-30
Proceedings Of The 13th International Conference On Man Machine Environment System Engineering written by Shengzhao Long and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-30 with Technology & Engineering categories.
The integrated and advanced science research topic Man-Machine-Environment system engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!” MMESE primarily focuses on the relationship between man, machines and the environment, studying the optimum combination of man-machine-environment systems. In this system, “man” refers to people in the workplace (e.g. operators, decision-makers); “ machine” is the general name for any object controlled by man (including tools, machinery, computers, systems and technologies), and “environment” describes the specific working conditions under which man and machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). The three goals of optimization of Man-Machine-Environment systems are to ensure safety, efficiency and economy. Proceedings of the 13th International Conference on Man-Machine-Environment System Engineering are an academic showcase of the best papers selected from more than 400 submissions, introducing readers to the top research topics and the latest developmental trends in the theory and application of MMESE. These proceedings are interdisciplinary studies on the concepts and methods of physiology, psychology, system engineering, computer science, environment science, management, education, and other related disciplines. Researchers and professionals working in these interdisciplinary fields and researchers on MMESE related topics will benefit from these proceedings.