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Reports on the Chair for Intelligent Transportation Systems (ITS)–Sustainable Transport Logistics 4.0 at Johannes Kepler University Linz (JKU).

Reports on the ITSS society's Bosch Future Mobility Challenge (BFMC), a competition created to provide students with a platform to interact with all AD domains and to develop and test their algorithms in an environment simulating a real city, using 1/10-scale model cars.

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In this article, we introduce the Intelligent Vehicles Future Challenge of China (IVFC), which has lasted 12 years. Some key features of the tests and a few interesting findings of IVFC are selected and presented. Through the IVFCs held between 2009 and 2020, we gradually established a set of theories, methods, and tools to collect tests? data and efficiently evaluate the performance of autonomous

Cyber?Physical?Social Systems Laboratory !![ITS Research Lab]

Even before the coronavirus (COVID-19) disease pandemic outbreak, the rail systems on islands turned out to be failures. The main concept of rail systems is to convey many people in one large means of transportation. However, on islands, the small area limits the ability of the train to go through a good path that can meet the need of a sufficient number of people. Therefore, the rail systems are unproductive

As automotive data increase in scale and value, it is important to understand who owns and has the ability to access information generated by connected vehicles. The plummeting costs of sensing, connectivity, and storage mean that original equipment manufacturers (OEMs), their suppliers, and end users have access to more realtime data than ever [1]. Data collection is complicated by the public?s perception

Traffic control systems (TCSs) are an emerging focus area among transportation technologies. More than 55,435 TCS technologies were patented during the last decade, and researchers, policy makers, and decision makers are increasingly interested in turning TCSs into safe and environmentally friendly transportation realities. This article analyzes all TCS-related patents issued during the period of 2009

The Research Group on Sustainable Mobility and Railway Engineering (SUM+LAB) at the University of Cantabria (UC), Spain, is dedicated to the development, research, and transfer of knowledge in the field of sustainable mobility and railway engineering. It also promotes intelligent, connected, shared, and low-emission mobility, as well as the efficient use and optimization of mobility systems.

This study focuses on the feasibility of commercial cloud services for connected vehicle (CV) applications in a Transportation Cyber-Physical Systems (TCPS) environment. TCPS implies that CVs, in addition to being connected with each other, communicates with the transportation and computing infrastructure to fulfill application requirements. The motivation of this study is to accelerate commercial

In prior research, a statistically cheap method was developed to monitor transportation network performance by using only a few groups of agents without having to forecast the population flows. The current study validates this "multi-agent inverse optimization" method using taxi GPS probe data from the city of Wuhan, China. Using a controlled 2062-link network environment and different GPS data processing

Intelligent Transportation Systems (ITS) aim at integrating sensing, control, analysis, and communication technologies into travel infrastructure and transportation to improve mobility, comfort, safety, and efficiency. Car manufacturers are continuously creating smarter vehicles, and advancements in roadways and infrastructure are changing the feel of travel. Traveling is becoming more efficient and

The combination of multi-modal image fusion schemes with deep learning classification methods, and particularly with Convolutional Neural Networks (CNNs) has achieved remarkable performances in the pedestrian detection field. The late fusion scheme has significantly enhanced the performance of the pedestrian recognition task. In this paper, the late fusion scheme connected with CNN learning is deeply

Many Connected Vehicle (CV) applications, including safety-critical ones such as collision warning, require lane-level positioning accuracy to function correctly. However, differential GNSS, the primary positioning method used by CVs in current deployments across the U.S., cannot always provide this level of accuracy. This is particularly true in urban environments. Alternative positioning methods

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Recently, the traditional taxi industry has been struggling to keep its market share, especially with the emergence of new transport network companies (e.g., Uber). One of the problems with traditional taxi services is the difficulty of matching the taxi demand to its supply when there is no phone-booking or other reservation system. From that perspective, the taxi driver?s experience is important

This article provides a comprehensive overview on cooperative control methods for waterborne transport. We first proposed a hierarchical architecture of cooperation in the waterborne transport systems. Three layers of cooperation are identified according to the range of communication and cooperation, i.e., the individual layer, the local layer, and the network layer. The individual layer is the basis

This article provides a review of the production and uses of maps for autonomous driving and a synthesis of the opportunities and challenges. For many years, maps have helped human drivers make better decisions, and in the future, maps will continue to play a critical role in enabling safe and successful autonomous driving. There are, however, many technical, societal, economic, and political challenges

Digital quadruplets aiming to improve road safety, traffic efficiency, and driving cooperation for future connected automated vehicles are proposed with the enlightenment of ACP-based parallel driving. The ACP method denotes artificial societies, computational experiments, and parallel execution modules for cyberphysical-social systems. Four agents are designed in the framework of digital quadruplets:

Eco-driving through multiple intersections has significant fuel benefit for road transportation. Most existing studies assume that vehicles travel at a constant speed between intersections, which naturally leads to large errors in fuel prediction and trajectory planning. This article focuses on eco-driving operation through multiple signalized intersections considering more realistic powertrain dynamics

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Vehicular ad hoc networks (VANETs) are a type of mobile ad hoc network that have emerged in the last decade of technological and application perspectives. Security in vehicular communication networks is very important due to the plethora of possible security attacks. Being a security requirement, authentication holds a key role in VANETs, because compromising it may have severe consequences, such as

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Reports on Mission Laboratory B3: Infrastructure and Traffic Management in land transport (Lab B3). Lab3 focuses on modeling and optimization of transportation systems networks and traffic flow. It develops interfaces for the integration of intelligent transport Systems (ITS) and related processes in the field of traffic management of surface transport systems (including integration of related managing

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Nowadays, the high-speed railway CTCS-3 train control system has realized the train tracking operation through the long block section consisting of two sections of track circuits. The train interval is composed of block sections, while the long block section will reduce the resolution of the train interval distance, which limits the carrying capacity of the railway to some extent. In order to reduce

Large-scale cellphone data provide an emerging source for acquiring urban movements and patterns. Existing researches on cellphone data based travel behavior detection are mostly concentrated on algorithms exploration and evaluation. The framework and layers of the monitoring platform from data collection to application are not very clear, and existing platform are mostly concentrated on limited functions

Rail traffic control systems are undergoing an important transformation. ERMTS/ECTS, CBTC, PTC and other train control systems based on radio communication are being deployed in different countries. These systems meet the high safety requirements for passenger traffic, and cover from congested urban areas to high-speed trains. However, there is a set of facilities, such as ports, dry ports, facilities

As an important feature of dispatching team task in operating control center (OCC), task complexity has a significant impact on the team performance and operational safety of the whole metro system. However, the existing concepts and methods for individual tasks cannot be fully applied to the research of the dispatching team task of OCC. In view of the research status, this work analyzed the characteristics