Modeling the Driver's Behavior on Second-order Macroscopic Models of Vehicular Traffic Flow PDF Download
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Author: I. Bonzani
Publisher:
ISBN:
Category :
Languages : en
Pages : 9
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Book Description
This paper deals with the modeling and qualitative analysis, with special attention to hyperbolicity analysis, of a large class of second-order hydrodynamic traffic flow models. These models are obtained from conservation equations for mass and momentum properly closed by constitutive relations related to the modeling of the behaviour of drivers in the flow.
Author: I. Bonzani
Publisher:
ISBN:
Category :
Languages : en
Pages : 9
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Book Description
This paper deals with the modeling and qualitative analysis, with special attention to hyperbolicity analysis, of a large class of second-order hydrodynamic traffic flow models. These models are obtained from conservation equations for mass and momentum properly closed by constitutive relations related to the modeling of the behaviour of drivers in the flow.
Author: Gabriella Puppo
Publisher: Springer
ISBN: 9783030665623
Category : Mathematics
Languages : en
Pages : 0
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Book Description
The book originates from the mini-symposium "Mathematical descriptions of traffic flow: micro, macro and kinetic models" organised by the editors within the ICIAM 2019 Congress held in Valencia, Spain, in July 2019. The book is composed of five chapters, which address new research lines in the mathematical modelling of vehicular traffic, at the cutting edge of contemporary research, including traffic automation by means of autonomous vehicles. The contributions span the three most representative scales of mathematical modelling: the microscopic scale of particles, the mesoscopic scale of statistical kinetic description and the macroscopic scale of partial differential equations.The work is addressed to researchers in the field.
Author: Martin Treiber
Publisher: Springer Science & Business Media
ISBN: 3642324606
Category : Science
Languages : en
Pages : 505
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Book Description
This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specialized monographs, accessible to a broad readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level. The main part, after presenting different categories of traffic data, is devoted to a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopic many-particle models in which each particle corresponds to a vehicle and its driver. Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way. Finally, the theoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transportation systems, traffic operations management, and a detailed physics-based model for fuel consumption and emissions.
Author: Massimiliano Daniele Rosini
Publisher: Springer
ISBN: 3319001558
Category : Technology & Engineering
Languages : en
Pages : 244
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Book Description
This monograph presents a systematic treatment of the theory for hyperbolic conservation laws and their applications to vehicular traffics and crowd dynamics. In the first part of the book, the author presents very basic considerations and gradually introduces the mathematical tools necessary to describe and understand the mathematical models developed in the following parts focusing on vehicular and pedestrian traffic. The book is a self-contained valuable resource for advanced courses in mathematical modeling, physics and civil engineering. A number of examples and figures facilitate a better understanding of the underlying concepts and motivations for the students. Important new techniques are presented, in particular the wave front tracking algorithm, the operator splitting approach, the non-classical theory of conservation laws and the constrained problems. This book is the first to present a comprehensive account of these fundamental new mathematical advances.
Author: HongSheng Qi
Publisher: Springer Nature
ISBN: 9819735971
Category :
Languages : en
Pages : 388
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Book Description
Author: Avishai Ceder
Publisher:
ISBN:
Category : Traffic flow
Languages : en
Pages : 828
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Book Description
Author: P. Abramson
Publisher:
ISBN:
Category : City traffic
Languages : en
Pages : 98
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Book Description
Author: Xiaolin Song
Publisher: Springer Nature
ISBN: 3031015096
Category : Technology & Engineering
Languages : en
Pages : 160
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Book Description
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.
Author: Dong Ngoduy
Publisher:
ISBN:
Category : Express highways
Languages : en
Pages : 208
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Book Description
Author: Yidi Chen
Publisher:
ISBN:
Category : Traffic flow
Languages : en
Pages : 44
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Book Description
Traffic flow theory describes the behavior of vehicles systemically. The macroscopic traffic models consider the traffic as a continuum flow. Multi-class traffic models are a family of macroscopic models that divide the traffic platoon in different groups. Two multi-class traffic models, Wong’s model and FASTLANE model, are studied in this thesis. These two models employ different speed-density relations and methods to calculate total density of the continuum flow. Three numerical methods, including first-order Lax-Friedrichs method, second-order central-upwind method, and third-order discontinuous Galerkin method, are implemented to solve these models. The behaviors of Wong’s model and FASTLANE model under different parameter settings and numerical methods are analyzed and compared.
