1,721,100 research outputs found
A Risk-Based System of Systems Approach to Control the Transport Flows of Dangerous Goods by Road
No full textA decentralised control model for the risk-based management of dangerous good transport flows on road
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Real-time, on-board crowding estimation in public transport networks with multiple lines using non-exhaustive Automatic Passenger Counting data
No full textAccurate information about passenger volumes and flows in public transport is important for the efficient operation, management, and evaluation of the network. Passengers’ comfort of travel is a major criterion for choosing public transport against less sustainable modes and the prevention of crowding inside vehicles is a challenging task for managers and operators of public transport services. The avoidance of crowds became even more critical during COVID-19, which highlighted the need for preparedness in terms of a proper provision of information on crowding phenomena. In recent years, information about passenger volume on-board public transport vehicles is commonly derived from Automatic Passenger Count data. Such data are often incomplete and there is a critical need for methods to estimate the missing records. An existing study developed a Kalman filter-based scheme for estimating the number of passengers on-board public transport vehicles, employing non-exhaustive real-time Automatic Passenger Counting data. The current study builds upon this study and extends it in order to allow estimations for networks with multiple common lines per station. The accuracy and reliability of the estimation are evaluated through application to the commuter train network of Helsinki, Finland, and the results suggest that the proposed method is able to deliver good estimation accuracy in terms of the number of passengers boarding, alighting, and, ultimately, comfort Levels of Service
Operational and real-time team decision problems in the risk-averse transportation of dangerous goods by road
No full textTechnical and Functional Standards to Provide a High Quality Service for Dangerous Good Transport on Road
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Hierarchical control for Connected and Automated Vehicles: From safe vehicle navigation to network congestion alleviation
No full textConnected and automated vehicles (CAVs) have the potential to revolutionize traffic optimization and significant research efforts are dedicated to ensuring these advancements enhance safety and reduce costs. The capabilities introduced by CAVs are unprecedented and are expected to play a crucial role in coordinating CAV trajectories, promoting cooperation, and improving overall urban network performance. Some new measures are needed, e.g. reducing the amount of exchanged data to simplify protection policies and reduce communication link overload. Despite advancements in computational power within CAVs, it is essential to ensure new algorithms can operate in real-time. This thesis proposes a novel hierarchical framework for managing urban traffic and delves into its foundational components addressing the above-mentioned issues. The focus is devoted to ensuring real-time collision avoidance, optimal time allocation and coordination at intersections, and congestion alleviation at network level. The findings aim to advance our understanding and implementation of CAV systems within urban environments for a safer, smoother, and more sustainable urban future
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