The 4th Symposium on Management of Future Motorway and Urban Traffic Systems (MFTS) was held in Dresden, Germany, from November 30th to December 2nd, 2022. Organized by the Chair of Traffic Process Automation (VPA) at the “Friedrich List” Faculty of Transport and Traffic Sciences of the TU Dresden, the proceedings of this conference are published as volume 9 in the Chair’s publication series “Verkehrstelematik” and contain a large part of the presented conference extended abstracts. The focus of the MFTS conference 2022 was cooperative management of multimodal transport and reflected the vision of the professorship to be an internationally recognized group in ITS research and education with the goal of optimizing the operation of multimodal transport systems. In 14 MFTS sessions, current topics in demand and traffic management, traffic control in conventional, connected and automated transport, connected and autonomous vehicles, traffic flow modeling and simulation, new and shared mobility systems, digitization, and user behavior and safety were discussed. In addition, special sessions were organized, for example on “Human aspects in traffic modeling and simulation” and “Lesson learned from Covid19 pandemic”, whose descriptions and analyses are also included in these proceedings.:1 Connected and Automated Vehicles 1.1 Traffic-based Control of Truck Platoons on Freeways 1.2 A Lateral Positioning Strategy for Connected and Automated Vehicles in Lane-free Traffic 1.3 Simulation Methods for Mixed Legacy-Autonomous Mainline Train Operations 1.4 Can Dedicated Lanes for Automated Vehicles on Urban Roads Improve Traffic Efficiency? 1.5 GLOSA System with Uncertain Green and Red Signal Phases 2 New Mobility Systems 2.1 A New Model for Electric Vehicle Mobility and Energy Consumption in Urban Traffic Networks 2.2 Shared Autonomous Vehicles Implementation for a Disrupted Public Transport Network 3 Traffic Flow and Simulation 3.1 Multi-vehicle Stochastic Fundamental Diagram Consistent with Transportations Systems Theory 3.2 A RoundD-like Roundabout Scenario in CARLA Simulator 3.3 Multimodal Performance Evaluation of Urban Traffic Control: A Microscopic Simulation Study 3.4 A MILP Framework to Solve the Sustainable System Optimum with Link MFD Functions 3.5 On How Traffic Signals Impact the Fundamental Diagrams of Urban Roads 4 Traffic Control in Conventional Traffic 4.1 Data-driven Methods for Identifying Travel Conditions Based on Traffic and Weather Characteristics 4.2 AI-based Multi-class Traffic Model Oriented to Freeway Traffic Control 4.3 Exploiting Deep Learning and Traffic Models for Freeway Traffic Estimation 4.4 Automatic Design of Optimal Actuated Traffic Signal Control with Transit Signal Priority 4.5 A Deep Reinforcement Learning Approach for Dynamic Traffic Light Control with Transit Signal Priority 4.6 Towards Efficient Incident Detection in Real-time Traffic Management 4.7 Dynamic Cycle Time in Traffic Signal of Cyclic Max-Pressure Control 5 Traffic Control with Autonomous Vehicles 5.1 Distributed Ordering and Optimization for Intersection Management with Connected and Automated Vehicles 5.2 Prioritization of an Automated Shuttle for V2X Public Transport at a Signalized Intersection – a Real-life Demonstration 6 User Behaviour and Safety 6.1 Local Traffic Safety Analyzer (LTSA) - Improved Road Safety and Optimized Signal Control for Future Urban Intersections 7 Demand and Traffic Management 7.1 A Stochastic Programming Method for OD Estimation Using LBSN Check-in Data 7.2 Delineation of Traffic Analysis Zone for Public Transportation OD Matrix Estimation Based on Socio-spatial Practices 8 Workshops 8.1 How to Integrate Human Aspects Into Engineering Science of Transport and Traffic? - a Workshop Report about Discussions on Social Contextualization of Mobility 8.2 Learning from Covid: How Can we Predict Mobility Behaviour in the Face of Disruptive Events? – How to Investigate the Mobility of the Future / Das 4. Symposium zum Management zukünftiger Autobahn- und Stadtverkehrssysteme (MFTS) fand vom 30. November bis 2. Dezember 2022 in Dresden statt und wurde vom Lehrstuhl für Verkehrsprozessautomatisierung (VPA) an der Fakultät Verkehrswissenschaften„Friedrich List“ der TU Dresden organisiert. Der Tagungsband erscheint als Band 9 in der Schriftenreihe „Verkehrstelematik“ des Lehrstuhls und enthält einen Großteil der vorgestellten Extended-Abstracts des Symposiums. Der Schwerpunkt des MFTS-Symposiums 2022 lag auf dem kooperativen Management multimodalen Verkehrs und spiegelte die Vision der Professur wider, eine international anerkannte Gruppe in der ITS-Forschung und -Ausbildung mit dem Ziel der Optimierung des Betriebs multimodaler Transportsysteme zu sein. In 14 MFTS-Sitzungen wurden aktuelle Themen aus den Bereichen Nachfrage- und Verkehrsmanagement, Verkehrssteuerung im konventionellen, vernetzten und automatisierten Verkehr, vernetzte und autonome Fahrzeuge, Verkehrsflussmodellierung und -simulation, neue und geteilte Mobilitätssysteme, Digitalisierung sowie Nutzerverhalten und Sicherheit diskutiert. Darüber hinaus wurden Sondersitzungen organisiert, beispielsweise zu „Menschlichen Aspekten bei der Verkehrsmodellierung und -simulation“ und „Lektionen aus der Covid-19-Pandemie“, deren Beschreibungen und Analysen ebenfalls in diesen Tagungsband einfließen.:1 Connected and Automated Vehicles 1.1 Traffic-based Control of Truck Platoons on Freeways 1.2 A Lateral Positioning Strategy for Connected and Automated Vehicles in Lane-free Traffic 1.3 Simulation Methods for Mixed Legacy-Autonomous Mainline Train Operations 1.4 Can Dedicated Lanes for Automated Vehicles on Urban Roads Improve Traffic Efficiency? 1.5 GLOSA System with Uncertain Green and Red Signal Phases 2 New Mobility Systems 2.1 A New Model for Electric Vehicle Mobility and Energy Consumption in Urban Traffic Networks 2.2 Shared Autonomous Vehicles Implementation for a Disrupted Public Transport Network 3 Traffic Flow and Simulation 3.1 Multi-vehicle Stochastic Fundamental Diagram Consistent with Transportations Systems Theory 3.2 A RoundD-like Roundabout Scenario in CARLA Simulator 3.3 Multimodal Performance Evaluation of Urban Traffic Control: A Microscopic Simulation Study 3.4 A MILP Framework to Solve the Sustainable System Optimum with Link MFD Functions 3.5 On How Traffic Signals Impact the Fundamental Diagrams of Urban Roads 4 Traffic Control in Conventional Traffic 4.1 Data-driven Methods for Identifying Travel Conditions Based on Traffic and Weather Characteristics 4.2 AI-based Multi-class Traffic Model Oriented to Freeway Traffic Control 4.3 Exploiting Deep Learning and Traffic Models for Freeway Traffic Estimation 4.4 Automatic Design of Optimal Actuated Traffic Signal Control with Transit Signal Priority 4.5 A Deep Reinforcement Learning Approach for Dynamic Traffic Light Control with Transit Signal Priority 4.6 Towards Efficient Incident Detection in Real-time Traffic Management 4.7 Dynamic Cycle Time in Traffic Signal of Cyclic Max-Pressure Control 5 Traffic Control with Autonomous Vehicles 5.1 Distributed Ordering and Optimization for Intersection Management with Connected and Automated Vehicles 5.2 Prioritization of an Automated Shuttle for V2X Public Transport at a Signalized Intersection – a Real-life Demonstration 6 User Behaviour and Safety 6.1 Local Traffic Safety Analyzer (LTSA) - Improved Road Safety and Optimized Signal Control for Future Urban Intersections 7 Demand and Traffic Management 7.1 A Stochastic Programming Method for OD Estimation Using LBSN Check-in Data 7.2 Delineation of Traffic Analysis Zone for Public Transportation OD Matrix Estimation Based on Socio-spatial Practices 8 Workshops 8.1 How to Integrate Human Aspects Into Engineering Science of Transport and Traffic? - a Workshop Report about Discussions on Social Contextualization of Mobility 8.2 Learning from Covid: How Can we Predict Mobility Behaviour in the Face of Disruptive Events? – How to Investigate the Mobility of the Future

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Die arbuskuläre Mykorrhiza (AM) ist eine mutualistische Symbiose, die die Phosphataufnahme und Pathogenresistenz von Pflanzen verbessern kann. In der vorliegenden Doktorarbeit wurde die Rolle der Protonen-pumpenden ATPase MtHA1 für die AM Symbiose in Medicago truncatula untersucht. In MtHA1 Mutanten konnten AM Pilze nur noch verkürzte Arbuskel ohne typische Verzweigungen ausbilden. Dies zeigte sich auch in Expressionsmustern von Genen, die für Proteine in verschiedenen Bereichen der periarbuskulären Membran kodieren. Außerdem waren AM Pilzbesiedelung, die verbesserte Nährstoffaufnahme und die Wachstumsförderung in MtHA1 mutierten Pflanzen reduziert. Die Mykorrhiza-induzierte Resistenz (MIR) wurde näher in M. truncatula Pflanzen untersucht, die von Aphanomyces euteiches infiziert waren, dem Erreger einer Wurzelfäule in Leguminosen. In einem geteilten Wurzelsystem, das eine hohe Expression von Verteidigungsgenen aufwies, unterdrückte ein AM Pilz diese Expression und erhöhte in Folge die Empfindlichkeit für das Pathogen. In Wurzeln von Topfkulturen dagegen konnte eine typische MIR beobachtet werden, die wahrscheinlich auf erhöhter Aktivität der Jasmonat/Ethylen-regulierten Verteidigungsantwort beruht, verursacht durch eine Unterdrückung der Salizylsäuresynthese. Im Ergebnis zeigt diese Arbeit die bedeutende Rolle des Gens MtHA1 für die Bildung und Funktion der arbuskelhaltigen Zellen. Die Mutation des Gens führt zur verminderten Arbuskelverzweigung, reduzierter Phosphataufnahme und Wachstumsförderung in der Mykorrhiza und schließlich zu einer geringeren Gesamtbesiedelung durch den AM Pilz. Genexpressionsanalysen weisen darauf hin, dass unterschiedliche Mechanismen den lokalen und systemischen Wechselwirkungen zwischen AM Pilzen und Pathogenen in der Wurzel zu Grunde liegen. Verschieden physiologische Zustände von geteilten Wurzelsystemen und Wurzeln in Topfkulturen erschweren allerdings einen direkten Vergleich der beiden experimentellen Ansätze. / Arbuscular mycorrhiza (AM) is a wide spread mutualistic symbiosis, which can improve phosphate acquisition and pathogen resistance of plants. In the current Ph.D. thesis the role of a proton pumping ATPase (MtHA1) for the AM symbiosis in Medicago truncatula was investigated. In MtHA1 mutant plants, different AM fungi only developed truncated arbuscules without forming typical hyphal branches, and this phenotype was mirrored by expression patterns of genes for proteins located in different areas of the periarbuscular membrane. AM fungal colonization, improved phosphate uptake and plant growth promotion were reduced in MtHA1 mutant plants. Mycorrhiza-induced resistance (MIR) and the nodule symbiosis were, however, not affected. MIR was further analyzed in the M. truncatula infected with Aphanomyces euteiches which causes a root-rot disease in legumes. In a split root system showing high levels of defense-gene expression, colonization of an AM fungus reduced this expression and in consequence increased susceptibility of the roots for the pathogen. In roots of pot cultures, however, a typical MIR was observed and could be based on the higher activity of jasmonate/ethylene-regulated defense responses due to suppression of salicylic acid biosynthesis. In conclusion, this work shows that the gene MtHA1 encoding a proton pumping-ATPase plays a critical role in the formation and function of arbuscule-containing cells. Expression of the mutated gene results in reduced formation of arbuscule branches. This in turn negatively influences mycorrhizal phosphate uptake, plant growth promotion and overall mycorrhizal colonization of the roots. Gene expression analyses indicate that different mechanisms underlay local and systemic interactions between the mycorrhizal fungus and the root pathogen. The different physiological stages of pot culture and split root system make a comparison of the two experimental approaches, however, difficult.