AIMC Topic: Transportation

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Multi-features taxi destination prediction with frequency domain processing.

PloS one Mar 22, 2018
The traditional taxi prediction methods model the taxi trajectory as a sequence of spatial points. It cannot represent two-dimensional spatial relationships between trajectory points. Therefore, many methods transform the taxi GPS trajectory into a t...
Travel Transportation Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Automobiles Forecasting Geographic Information Systems
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Artificial Intelligence and the 'Good Society': the US, EU, and UK approach.

Science and engineering ethics Mar 28, 2017
In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence (AI). In this article, we provide a compar...
Policy United States Universities Technology Research Leadership Research Report United Kingdom Politics Social Values Robotics Ethics, Research Social Responsibility Disclosure Delivery of Health Care Humans Artificial Intelligence European Union Government Regulation Weapons Government Private Sector Transportation
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Predicting and communicating flood risk of transport infrastructure based on watershed characteristics.

Journal of environmental management Aug 13, 2016
This research aims to identify and communicate water-related vulnerabilities in transport infrastructure, specifically flood risk of road/rail-stream intersections, based on watershed characteristics. This was done using flooding in Värmland and Väst...
Geography Floods Transportation Rivers Conservation of Natural Resources Neural Networks, Computer Regression Analysis Risk Least-Squares Analysis Decision Making Weather Models, Statistical Sweden Models, Theoretical
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Tracing Road Network Bottleneck by Data Driven Approach.

PloS one May 26, 2016
Urban road congestions change both temporally and spatially. They are essentially caused by network bottlenecks. Therefore, understanding bottleneck dynamics is critical in the goal of reasonably allocating transportation resources. In general, a typ...
Transportation Humans Urban Renewal Neural Networks, Computer Databases, Factual Models, Theoretical
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Course Control of Underactuated Ship Based on Nonlinear Robust Neural Network Backstepping Method.

Computational intelligence and neuroscience May 18, 2016
The problem of course control for underactuated surface ship is addressed in this paper. Firstly, neural networks are adopted to determine the parameters of the unknown part of ideal virtual backstepping control, even the weight values of neural netw...
Algorithms Computer Simulation Time Factors Ships Humans Nonlinear Dynamics Neural Networks, Computer Transportation
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Evaluating clustering methods within the Artificial Ecosystem Algorithm and their application to bike redistribution in London.

Bio Systems May 10, 2016
This paper proposes and evaluates a solution to the truck redistribution problem prominent in London's Santander Cycle scheme. Due to the complexity of this NP-hard combinatorial optimisation problem, no efficient optimisation techniques are known to...
Environment Design Artificial Intelligence Cluster Analysis Algorithms Humans London Reproducibility of Results Bicycling Transportation Ecosystem Time Factors
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Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System.

PloS one Feb 1, 2016
Travel time is an important measurement used to evaluate the extent of congestion within road networks. This paper presents a new method to estimate the travel time based on an evolving fuzzy neural inference system. The input variables in the system...
Fuzzy Logic Cluster Analysis Regression Analysis Transportation Algorithms Computer Simulation Time Factors Neural Networks, Computer
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Large-scale transportation network congestion evolution prediction using deep learning theory.

PloS one Mar 17, 2015
Understanding how congestion at one location can cause ripples throughout large-scale transportation network is vital for transportation researchers and practitioners to pinpoint traffic bottlenecks for congestion mitigation. Traditional studies rely...
Transportation Neural Networks, Computer Geographic Information Systems Learning China Models, Theoretical
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The intelligence of dual simplex method to solve linear fractional fuzzy transportation problem.

Computational intelligence and neuroscience Feb 24, 2015
An approach is presented to solve a fuzzy transportation problem with linear fractional fuzzy objective function. In this proposed approach the fractional fuzzy transportation problem is decomposed into two linear fuzzy transportation problems. The o...
Transportation Fuzzy Logic Humans Intelligence Electronic Data Processing Algorithms Models, Theoretical
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The urban physical environment and leisure-time physical activity in early midlife: a FinnTwin12 study.

Health & place Jul 1, 2025
Under the exposome framework, this study examined the relationship between the urban physical environment and leisure-time physical activity during early midlife based on 394 participants (mean age: 37, range 34-40) from the FinnTwin12 cohort, residi...
Female Adult Male Humans Cities Urban Population Finland Exercise Transportation Leisure Activities Cohort Studies
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