61,988 research outputs found
Proceedings of the 4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022
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 âFriedrich Listâ Faculty of Transport and Traffic Sciences of the TU Dresden, the proceedings of this conference are published as volume 9 in the Chairâs publication series âVerkehrstelematikâ 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 âHuman aspects in traffic modeling and simulationâ and âLesson learned from Covid19 pandemicâ, 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 â 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? â How to Investigate the Mobility of the FutureDas 4. Symposium zum Management zukĂŒnftiger Autobahn- und Stadtverkehrssysteme (MFTS) fand vom 30. November bis 2. Dezember 2022 in Dresden statt und wurde vom Lehrstuhl fĂŒr Verkehrsprozessautomatisierung (VPA) an der FakultĂ€t VerkehrswissenschaftenâFriedrich Listâ der TU Dresden organisiert. Der Tagungsband erscheint als Band 9 in der Schriftenreihe âVerkehrstelematikâ des Lehrstuhls und enthĂ€lt einen GroĂteil 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 MobilitĂ€tssysteme, Digitalisierung sowie Nutzerverhalten und Sicherheit diskutiert. DarĂŒber hinaus wurden Sondersitzungen organisiert, beispielsweise zu âMenschlichen Aspekten bei der Verkehrsmodellierung und -simulationâ und âLektionen aus der Covid-19-Pandemieâ, deren Beschreibungen und Analysen ebenfalls in diesen Tagungsband einflieĂen.: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 â 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? â How to Investigate the Mobility of the Futur
Eras of electric vehicles: electric mobility on the Verge. Focus Attention Scale
Daily or casual passenger vehicles in cities have negative burden on our finite world. Transport sector has been one of the main contributors to air pollution and energy depletion.
Providing alternative means of transport is a promising strategy perceived by motor manufacturers and researchers. The paper presents the battery electric vehicles-BEVs bibliography that starts with the early eras of invention up till 2015 outlook. It gives a broad overview of BEV market and its technology in a chronological classification while sheds light on the stakeholdersâ focus attentions in each stage, the so called, Focus-Attention-Scale-FAS. The attention given in each era is projected and parsed in a scale graph, which varies between micro, meso,
and macro-scale. BEV-system is on the verge of experiencing massive growth; however, the system entails a variety of substantial challenges. Observations show the main issues of BEVsystem that require more attention followed by the authorsâ recommendations towards an emerging market
Offloading Content with Self-organizing Mobile Fogs
Mobile users in an urban environment access content on the internet from
different locations. It is challenging for the current service providers to
cope with the increasing content demand from a large number of collocated
mobile users. In-network caching to offload content at nodes closer to users
alleviate the issue, though efficient cache management is required to find out
who should cache what, when and where in an urban environment, given nodes
limited computing, communication and caching resources. To address this, we
first define a novel relation between content popularity and availability in
the network and investigate a node's eligibility to cache content based on its
urban reachability. We then allow nodes to self-organize into mobile fogs to
increase the distributed cache and maximize content availability in a
cost-effective manner. However, to cater rational nodes, we propose a coalition
game for the nodes to offer a maximum "virtual cache" assuming a monetary
reward is paid to them by the service/content provider. Nodes are allowed to
merge into different spatio-temporal coalitions in order to increase the
distributed cache size at the network edge. Results obtained through
simulations using realistic urban mobility trace validate the performance of
our caching system showing a ratio of 60-85% of cache hits compared to the
30-40% obtained by the existing schemes and 10% in case of no coalition
The Dynamics of Vehicular Networks in Urban Environments
Vehicular Ad hoc NETworks (VANETs) have emerged as a platform to support
intelligent inter-vehicle communication and improve traffic safety and
performance. The road-constrained, high mobility of vehicles, their unbounded
power source, and the emergence of roadside wireless infrastructures make
VANETs a challenging research topic. A key to the development of protocols for
inter-vehicle communication and services lies in the knowledge of the
topological characteristics of the VANET communication graph. This paper
explores the dynamics of VANETs in urban environments and investigates the
impact of these findings in the design of VANET routing protocols. Using both
real and realistic mobility traces, we study the networking shape of VANETs
under different transmission and market penetration ranges. Given that a number
of RSUs have to be deployed for disseminating information to vehicles in an
urban area, we also study their impact on vehicular connectivity. Through
extensive simulations we investigate the performance of VANET routing protocols
by exploiting the knowledge of VANET graphs analysis.Comment: Revised our testbed with even more realistic mobility traces. Used
the location of real Wi-Fi hotspots to simulate RSUs in our study. Used a
larger, real mobility trace set, from taxis in Shanghai. Examine the
implications of our findings in the design of VANET routing protocols by
implementing in ns-3 two routing protocols (GPCR & VADD). Updated the
bibliography section with new research work
Social-aware Opportunistic Routing Protocol based on User's Interactions and Interests
Nowadays, routing proposals must deal with a panoply of heterogeneous
devices, intermittent connectivity, and the users' constant need for
communication, even in rather challenging networking scenarios. Thus, we
propose a Social-aware Content-based Opportunistic Routing Protocol, SCORP,
that considers the users' social interaction and their interests to improve
data delivery in urban, dense scenarios. Through simulations, using synthetic
mobility and human traces scenarios, we compare the performance of our solution
against other two social-aware solutions, dLife and Bubble Rap, and the
social-oblivious Spray and Wait, in order to show that the combination of
social awareness and content knowledge can be beneficial when disseminating
data in challenging networks
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