Traffic and Granular Flow '22

1. Auflage 2024
ISBN: 978-981-99-7975-2
Verlag: Springer

Buch, Englisch, 504 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1041 g

Reihe: Lecture Notes in Civil Engineering

This book gathers contributions on a variety of flowing collective systems. While primarily focusing on pedestrian dynamics, it also reflects the latest developments in areas such as vehicular traffic and granular flows and addresses related emerging topics such as self-propelled particles, data transport, swarm behaviour, intercellular transport, and individual interactions to complex systems. Combining fundamental research and practical applications in the various fields discussed, the book offers a valuable asset for researchers and professionals in areas such as civil and transportation engineering, mechanical engineering, electrical engineering, physics, computer science, and mathematics.

Zielgruppe

Research

Autoren/Hrsg.

Rao, K. Ramachandra

Seyfried, Armin

Schadschneider, Andreas

Fachgebiete

• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Naturwissenschaften Physik Thermodynamik Festkörperphysik, Kondensierte Materie
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Verkehrstechnologie: Allgemeines

Inhaltsverzeichnis

Collective traffic of agents that remember“Nudging” crowds: When it works, when it doesn’t and whyRevisiting the theoretical basis of agent-based models for pedestrian dynamicsAn emergency evacuation model for avoiding high nuclide concentration areas in nuclear accidentShoulder rotation measurement in camera and 3D motion capturing dataMethods of density estimation for pedestrians moving in small groups without a spatial boundaryA review of entropy-based studies on crowd behavior and risk analysisUnderstanding the difference in social group behaviour of a spiritually motivated crowd and a general crowdMass evacuation planning based on mean field games theoryExperimental study of bidirectional pedestrian flow in a corridor with certain height constraintCrowd Dynamics of a Rural Group in a Mass Religious Gathering: A Case Study of Kumbh Mela - 2016, IndiaModeling of obstacle avoidance by a dense crowd as a Mean-Field GameTwo types of bottlenecks in leisure facilities: bottlenecks caused by attractiveness and structural layoutFace-validation of a route-choice module in a crowd simulator for confined indoor spaces in context of the COVID-19 pandemicOn the Influence of Group Social Interaction on Intrusive BehavioursSound Guidance on Evacuation under Limited Visibility: an Experimental StudyPedestrian Kernel Density Estimates: the Individual ApproachDensity dependence of stripe formation in a cross-flowEstimation of pedestrian crossing intentions in in-vehicle videoParticle method for macroscopic model of coupled pedestrian and vehicular traffic flowStudy of emergency exit choice behaviour at metro stations in fire evacuationA Non-linear Pedestrian Tracker Using Velocity-adaptive Particle Filter With Trajectory AnalysisWheelchair and phone use during single file pedestrian movementModelling pedestrian collective dynamics with port-Hamiltonian systemsExperimental study of pedestrian crossing mechanism in crowdsPublic-space sonification for pedestrian trajectory nudgingHow do Retail Stores Affect Pedestrian Walking Speed: An Empirical ObservationA psychological approach to understanding microscopic and macroscopic structures during train boarding processesEmpirical comparison of different pedestrian trajectory prediction methods at high densitiesReusable software structures for coupling agent-based locomotion models and disease transmission modelsA closed network of RNA polymerase flow models for analyzing intracellular transportModified version of open TASEP with dynamic defectsOscillation growth in mixed traffic flow of human driven vehicles and automated vehicles: Experimental study and simulationModelling the Influence of Amber Light Dilemma Zone on Driver Behaviour Under Mixed Traffic ConditionsOptimal Design of Battery, Charging Infrastructure Planning, and Charging Scheduling for Electric Bus NetworkThe Impact of Vehicular Heterogeneity on the Rear-end Crash Risk in Mixed Traffic: An Extreme Value ApproachA Comprehensive Review of Car-Following Models: Heterogeneous Non-Lane-Based Traffic ViewpointTravel path tracking using smartphone inertial sensors: an experimental study on an academic campus road networkThe intelligent agent model – a fully two-dimensional microscopic traffic flow modelModelling Impact of Lateral Behaviour of Successive Vehicles on Traffic Safety for Regular and Work-Zone RoadsStochastic Optimal Velocity Model With Two Vehicle Control MethodsMachine Learning Approach for Modeling the Lateral Movement Decisions of Vehicles in Heterogeneous Traffic ConditionsExploratory data analysis of lateral clearance between vehicles at signalized intersection with weak lane disciplineTwo-Dimensional Following Behavior Analysis of Powered Two-Wheelers using Copula ApproachAnalysis of traffic jerk effect in a new lattice model with density-dependent passingAnalyzing the operational performance of mixed traffic comprising autonomous and human-driven vehicles at varying penetration rates on Indian urban arterialsA jam-absorption driving system based on moving jam propagation speed estimation with camera sensorsFuzzy Logic based Automation of the Extraction of Surrogate Safety Measures and the Creation of Severity Classification using Video DataA Graphical Tool for Planning and Real-Time Operation of Freight TrainsApproaches for Modelling Travel Time UncertaintyAn investigation of traffic speed distributions for uninterrupted flow at blackspot locations in a mixed traffic environmentData-Driven Prediction for Red-Light-Running at a T-JunctionPrototype models for predicting vehicle types generated in heterogeneous traffic simulationNon-Poissonian cellular automaton models for vehicular trafficEstimation of Travel Time Reliability Using Wi-Fi Detections on an Urban Arterial RoadDimensionality Reduction and Machine Learning-based Crash Severity Prediction using Surrogate Safety MeasuresMean field games modeling for dynamic traffic assignment with informationDevelopment and Field Validation of Nonlocal Velocity based Macroscopic Traffic ModelConnected and Autonomous Vehicle’s Behavior in Heterogenous Disordered Traffic in Metropolitan CitiesSynergy of Model-driven and Data-driven Approaches in a Dynamic Network Loading ProblemSensor Data Analysis by means of ClusteringDelay Modelling at Signalized Intersection Under Mixed Traffic Conditions

Über Autor(innen)

K. Ramachandra Rao is currently Professor and MoUD Chair in the Department of Civil Engineering at the Indian Institute of Technology Delhi, India. He is presently the Head of Transportation Research and Injury Prevention Centre (TRIP Centre), IIT Delhi. He holds a Ph.D. in Civil Engineering (Transportation Engineering) from IIT Kharagpur. He has a masters’ degree in Transportation Engineering from NIT Warangal and a bachelor’s degree in civil engineering from Andhra University (GITAM, Visakhapatnam). His research interests are in traffic dynamics, pedestrian dynamics, public transportation systems planning, road safety, and urban freight logistics. He is widely published in peer-reviewed journals and conferences. He has co-authored the book (Highway Material Testing and Quality Control, I.K. Publishers, 2017). He has advised many Ph.D. and master’s students at IIT Delhi. He is involved in projects and consulting related to pedestrian evacuations, traffic dynamics, and road safety. He is on the scientific committee of the international conference series traffic and granular flow and pedestrian and evacuation dynamics.

Andreas Schadschneider is currently Professor in Theoretical Physics at University of Cologne, Germany, since 2006. He has a diploma and Ph.D. in Physics from University of Cologne. His research interests are pedestrian dynamics, nonequilibrium physics, vehicular traffic, biological transport, physics education. He is very widely published (more than 150 journal articles) and is currently Member of Editorial Board: Int. J. Mod. Physics C, J. Stat. Mech., Physica A (Main Editor), Collective Dynamics (Editor-in-Chief). He is Member of the steering committee of the international conference series ‘Pedestrian and Evacuation Dynamics’ and ‘Traffic and Granular Flow’. Besides editing several conference procedia, he has authored A. Schadschneider, D. Chowdhury and K. Nishinari: Stochastic Transport in Complex Systems: From Molecules to Vehicles, Elsevier (2010). He has advised many Ph.D. and master’s students besides engaging in several research projects. Armin Seyfried is currently Director of the Institute of Advanced Simulation: Civil Safety Research (IAS-7), Forschungszentrum Ju¨lich. In the same time, he holds Chair of ‘Computer Simulations for Fire Safety and Pedestrian Traffic’, University of Wuppertal, Germany. His research interests are in the fields of pedestrian dynamics, nonequilibrium systems, traffic engineering, and fire safety engineering. He is widely known for his seminal work in the field of pedestrian dynamics and is on the Editorial Board Collective Dynamics (Founder Editor-in-Chief). He has offered a full course on ‘Pedestrian Dynamics: Empirics and modelling’ at IIT Delhi under the GIAN programme. He is Member of the steering committee of the conference series ‘Pedestrian and Evacuation Dynamics’ and ‘Traffic and Granular Flow’ and has been Co-editor of the proceedings, Traffic and Granular Flow '13, Springer (2015). He has advised many Ph.D. and master’s students at University of Wuppertal besides engaging in several research projects.