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Call for papers to Special Sessions
Papers are solicited for the following Special Sessions. Any author who wishes to contribute to a Special Session should contact the corresponding Special Session organiser(s).
1. Human Factors in Urban Traffic – Characteristics, Challenges and Solutions of Prospective Assistance Systems
Organizers: Christian Lehsing (firstname.lastname@example.org), Technische Universität München, Institute of Ergonomics; Klaus Bengler (email@example.com), Technische Universität München, Institute of Ergonomics.
The German research initiative UR:BAN (acronym for: urban space – user oriented assistance systems and network management) consists of three independent project columns. Under “Cognitive Assistance”, “Networked Traffic System” and “Human Factors in Traffic” 14 sub projects work on the challenges of urban traffic to foster the support of the driver in concerns of a safer, more efficient and less taxing urban driving experience.
Topics of the column “Human factors in Traffic” which will be addressed in the presentations are:
- Urban scenario standardization
- Driving data standardization
- Urban specific HMI design
- Behavior and intention recognition of drivers in urban scenarios
- Novel simulative evaluation methods for urban assistance systems
- Controllability aspects of test methods and prospective assistance systems
This special session aims to gather the relevant results of on-going works about all aspects of the design and optimization of wireless vehicular communication systems, including vehicle to roadside communication systems, rail transit communication systems, vehicle to vehicle communication systems, etc. The special session on "Wireless Vehicular Communications" provides a forum for discussions of all these most up-to-date developments and brings together industry and academia, engineers and researchers.
Organizer: Duong Nguyen (firstname.lastname@example.org), Valeo Vision Systems; Ciaran Hughes (email@example.com), Valeo Vision Systems; Jonathan Horgan (firstname.lastname@example.org), Valeo Vision Systems.
Recently it has been reported in the IEEE Intelligent Transportation System Conference (ITSC) 2008, and again more emphasized in IEEE ITSC 2012-and later that a good driving assistant system (DAS) is very important and potentially helpful since more than 90% of car accident made by human mistakes or missed proper reaction. DAS and self-driving systems currently have got a great deal of attention of researchers from both academics and automotive industry. Therefore, the aim of this Special Session is to create a discussion forum for active researchers interested in the current developments, new approaches, some results and future steps of automated driving or autonomous vehicle.
The topics of interest include: terrain classification, obstacle avoidance, moving object detection, object clustering and tracking, vehicle odometry, 3D reconstruction, road/lane detection, path planing.
Following the recent major stampedes such as the 2010 Love Parade festival in Duisburg, the 2011 Stadium disaster in Mali, the 2012 Patna's Adalatganj ghat on Ganga, the 2013 Allah railway station disaster in India, the 2014 Conakry beach concert in the capital of Guinea and the 2015 New Year’s Eve in Shanghai China, it is indeed important to consider what could be done to ensure crowd safety. The special session on “Intelligent pedestrian traffic and evacuation dynamics” will address the recent progress and development of pedestrian and evacuation dynamics related to massive crowd gathering in public pace including various transportation systems such as modern transportation centers, airport terminals, and pedestrian streets. A better understanding of the origin and development process of pedestrian related problems would provide the transportation planner, designer, emergency management officials a much reliable, efficient and promising consultancy for resolving these problems. This special session as a result intended to provide a platform discussing topics ranging from not only research to practice, but also from become aware of problems and to provide methods and tools to planning and management of pedestrian flows.
Organizer: Jack Haddad (email@example.com), Technion, Israel Institute of Technology; Mehdi Keyvan-Ekbatani (firstname.lastname@example.org), Delft University of Technology; Mohsen Ramezani (email@example.com), EPFL, Switzerland.
Nowadays, urbanization has become a universal trend resulting in growing cities and congested urban transportation networks all around the world. The development of Intelligent Transportation Systems (ITS) technologies with new monitoring paradigms and computational tools along with innovative traffic flow models enables to estimate traffic states in real-time and to implement traffic-responsive control schemes. However efficient management/control of urban transport systems remains a big challenge, due to the complexity and extent of transportation networks, as well as unpredictability of travelers’ choices.
Original research works tackling challenges in modeling and traffic control of urban networks are encouraged to be submitted. The scope of the call includes, but not limited to:
1. Macroscopic or Network Fundamental Diagram (MFD/NFD) modelling for large-scale heterogeneous urban networks
2. Advanced large-scale urban traffic management strategies (congestion pricing, route guidance, etc.)
3. Modeling and control of multimodal networks
4. Urban traffic state estimation and prediction with multi-sensor data
5. Coordinated/Integrated urban corridor management
6. Urban public transport signal priority
Organizer: Francesco Viti (firstname.lastname@example.org), University of Luxembourg; Marcin Seredynski (email@example.com), Luxembourg Institute of Science and Technology; Arno Kerkhof (firstname.lastname@example.org), International Association of Public Transport, Brussels.
The emerging concept of Smart Cities enables new efficient mobility solutions. As Public Transport (PT) constitutes a sustainable service in urban systems, the increase of its market share is an important worldwide objective. For instance, PTx2 action of the International Association of Public Transport (UITP) sets a goal of doubling PT’s market share by 2025 compared to 2005. Efficiency and comfort of public transport are the keys to higher patronage. They can be significantly improved by the emerging technologies developed within Intelligent Transportation Systems (ITS). For instance, cooperative public transport systems based on connected vehicle technology and the concept of open data brings to PT systems collective intelligence. Moreover, several new ITS-based systems have been recently developed for improving the efficiency of PT. The examples include flexible bus lines, intermittent bus lanes, Automated Vehicle Location systems (AVL) systems, real-time passenger information, and bus priority at traffic signals. Given the continuing development of ITS technologies there is a need for continuing research into how these technologies can be best deployed for public transport.
Topics of interest include (but are not limited to):
- ITS for link-level PT priority measures (with-flow lanes, contra-flow lanes, etc.) and junction-based measures such (Transit Signal Priority, queue relocation, and pre-signals techniques, etc.).
- Real-time passenger information systems;
- Automated Transportation
- Open Data in PT
- Simulation and modeling of PT
- Personalized Mobility/Demand Responsive Transport (DRT)
- Cooperative Systems and Connected Vehicles for PT
- Driver Assistance Systems/Eco-driving
- Multi-Modal Public Transportation
Special Session specific topics:
- license plate and vehicle identification
- speed detection from stationary or mobile platforms
- seat belt enforcement
- cell phone driver distraction
- expired registration detection
- stop/light sign enforcement
- vandalism detection
- video-based parking spot detection for billing or navigation
- traffic congestion detection
- assisted driving/parking
- transit time estimation
- open road tolling
- reduction of emissions
- multi-spectral emission detection
- gasoline and chemical spill detection
Infrastructure monitoring and optimization:
- traffic flow measurements
- road, bridge and traffic sign inspection
- snow plow and bus cameras
- vehicle classification
- vehicle conditions (overheated brakes, underinflated tires)
Imaging for motor vehicles and autonomous devices:
- driver alertness estimation
- road condition sensing (water, ice, dry, potholes, etc)
- road hazard detection
- object/animal/human detection
- tailgating detection
- mobile imaging platforms
ACP-based Parallel System Theory (PST), has been proposed as a new mechanism for conducting operations of complex systems, especially those involving complexity issues of both engineering and social dimensions, such as transportation systems. Basically, this theory consists of three steps: 1) modeling and representation using Artificial societies; 2) analysis and evaluation by Computational experiments; and 3) control and management through Parallel execution of real and artificial systems. In some complex urban traffic networks, PST has been successfully applied and validated in the real world. However, when applying PST to Intelligent Transportation Systems (ITS), the related ITS theory and technologies all face new challenges and need to be further investigated. This special session aims to bring together researchers and practitioners to discuss issues, challenges and future directions of PST applied to Transportation Management Systems, and share their R&D findings as well as their experiences in related areas.
Topics of interest to the workshop include (but are not limited to):
- Artificial transportation systems
- Computational traffic experiments
- Parallel execution
- Parallel transportation management system
- ACP approaches
- Traffic cloud computing
- Traffic cloud storage
- Multi-source traffic information fusion
- Large-scale traffic data processing
- Traffic flow prediction
- Traffic network partitioning
- Multi-objective traffic network optimization
Organizers: Henk Nijmeijer (email@example.com), Technische Universiteit Eindhoven; Jeroen Ploeg (Jeroen.firstname.lastname@example.org), The Netherlands Organization for Applied Scientific Research (TNO); Elham Semsar-Kazerooni (Elham.email@example.com), The Netherlands Organization for Applied Scientific Research (TNO); Nathan van de Wouw (firstname.lastname@example.org), Technische Universiteit Eindhoven (TU/e).
Cooperative driving is one of the focal points of the scientific society in the recent years. Although a significant research effort has been dedicated to this line of research and development, there is still a large gap to be closed towards real on-road implementation of cooperative vehicles. One major barrier towards this milestone is the uncertainty on how these “cooperative” vehicles can perform in real traffic situations, such as in performing actual traffic maneuvers and in interacting with other road users. Therefore, it seems relevant to study the performance of (semi-)automated and cooperating vehicles in a broader context where interaction with other equipped (or even non-equipped) vehicles is taken into account. This broader context can be considered as a complex network of vehicles where cooperation is the common language. This special session aims to address some of the challenges associated with the design of such a complex cooperative vehicular network including design of its subsystems and the interaction between them. These challenges can be addressed at different levels of in-vehicle, in-platoon (intra-vehicle), as well as intra-platoon system design.
In summary, we invite contributions on different levels of system design, including, but not limited to, aspects such as:
- Design of real-time cooperative automation strategies;
- Design of communication topologies representing the traffic network;
- Interaction protocols for coordination of road vehicles maneuvering;
- Synchronization- and consensus-based approaches to vehicle network problems;
- Robustness analysis of real-time controllers;
- String stability analyses and other performance analyses for cooperative driving rategies;
- Fault-tolerant and fail-safe control approaches;
- Experimental setups involving cooperative maneuvers of road vehicles.
Motorway traffic congestion represents a significant challenge for large and growing metropolitan areas. The application of control strategies to mitigate congestion has a strong potential for an improvement of traffic conditions reducing delays, mitigating environmental pollution, and increasing traffic safety.
The goal of this Special Session is to bring together representatives from academia, to exchange ideas on the state of the art, and discuss recent advances, novel theoretical approaches, and practical applications in the field of motorway traffic control.
The areas of interest include:
- Theoretical investigations of traffic control on motorway networks;
- Local or network-wide control strategies;
- Field applications and case studies;
- Tools and concepts for motorways of the future
Organizers: Rosaldo Rossetti (email@example.com), University of Porto; Fenghua Zhu (firstname.lastname@example.org), Chinese Academy of Sciences; Shuming Tang (email@example.com), Chinese Academy of Sciences.
The aim of the ATSS special session is to foster the discussion on issues concerning the development of Artificial Transportation Systems and Simulation as a means to devise, test and validate ITS-based technologies. With the ability to integrate different transportation models and solutions in a virtual environment, ATSS serve as an aid to support decisions made by engineers and practitioners in a controlled and safe manner. They also provide a natural ground where new approaches can be experimented while avoiding natural drawbacks of dealing directly with real critical domains, such as ITS. On the basis of theories and methodologies borrowed from a wide spectrum of disciplines, such as the Social Sciences, Cloud Computing, Artificial Intelligence and Multi-agent Systems, Virtual Reality and many others, many important issues arise which challenge and motivate researchers and practitioners from multidisciplinary fields, as well as different technical and scientific communities.
Topics of interest to the workshop include (but are not limited to):
- Agent-based modelling and simulation;
- Real agent architectures;
- Hardware-, software-, and human-in-the-loop simulation;
- Agent-human interactions;
- Environment modelling and interaction protocols;
- Learning and adaptation;
- Collaboration, cooperation, competition, coalitions in traffic and transportation models;
- Social and emergent behaviour in MAS-T (multi-agent systems applied to traffic and transport);
- Multi-resolution simulation and simulator interoperability;
- Growing artificial societies in artificial transportation systems;
- Data Mining and Data Analysis;
- Large scale simulation of agent-based traffic models;
- Calibration and validation of agent-based models for traffic and transportation;
- New trends and inspirational metaphors for artificial transportation systems.
- Social transportation;
- Transportation knowledge automation
How to protect vulnerable road users (pedestrians, bicyclists, etc.) is a challenging task. In literature, extensive research has been done in this direction that includes pedestrian and bicyclist detection, pre-collision warning, crash imminent braking, and others. The objective of this proposal is to bring together leading researchers and practitioners from academia and industry to present state-of-the-art technology, algorithms, system design, and products for pedestrian and bicyclist safety, and discuss the potential problems and solutions in real applications.
Possible topic areas include, but are not limited to the following areas:
- Pedestrian and bicyclist detection
- Pre-collision system
- Safety of critical infrastructure
- Collision risk analysis
- Active safety systems and their applications
Organizers: Danil Prokhorov (firstname.lastname@example.org), Toyota Research Institute North America; Seiichi Mita (email@example.com), Toyota Technological Institute; Chunzhao Guo (firstname.lastname@example.org), Toyota Central Research and Development Labs, Japan.
Future automotive vehicles will be highly or fully automated while driving on regular roads. This could greatly improve the driving comfort and, additionally, the road safety by mitigating risks associated with distracted driving. Of all the areas, environment perception is known to be a major challenge in development of technologies for automation of driving in everyday traffic. While finding objects of interest on well-structured roads is already available in modern vehicles, it remains an unsolved problem in terms of system performance and reliability, e.g., reliably extracting useful information from sensor data in spite of noises brought by various illumination and weather conditions, reconstructing the scene geometry for different road types, and interpreting as well as predicting behaviors of all traffic participants.
Topics of interest include, but are not limited to:
- Perception using sensor fusion
- Relevant object detection and tracking
- Road and road boundary recognition
- Traffic lights and signs recognition
- Rare situation recognition, e.g., animals, special vehicles
- Interpreting driving scenes and planning safe paths
- Other topics of relevance to environment perception and automated vehicles