AIMC Topic: Transportation

Clear Filters Showing 61 to 70 of 76 articles

Space-time trends of PM constituents in the conterminous United States estimated by a machine learning approach, 2005-2015.

Environment international Nov 7, 2018
Particulate matter with aerodynamic diameter less than 2.5 μm (PM) is a complex mixture of chemical constituents emitted from various emission sources or through secondary reactions/processes; however, PM is regulated mostly based on its total mass c...
Cities United States Environmental Monitoring Humans Machine Learning New York California Nitrogen Oxides Transportation Carbon Air Pollutants Particulate Matter
View on PubMed DOI

Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm.

PloS one Jun 21, 2018
Route optimization of hazardous materials transportation is one of the basic steps in ensuring the safety of hazardous materials transportation. The optimization scheme may be a security risk if road screening is not completed before the distribution...
Hazardous Substances Humans Transportation Neural Networks, Computer Algorithms
View on PubMed DOI

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...
Transportation Neural Networks, Computer Algorithms Forecasting Automobiles Travel Geographic Information Systems Image Processing, Computer-Assisted Humans
View on PubMed DOI

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...
Research Report United Kingdom Politics Robotics Ethics, Research Social Responsibility Transportation European Union Weapons Private Sector Social Values Government Regulation Government Technology Research Leadership Policy United States Universities Artificial Intelligence Disclosure Delivery of Health Care Humans
View on PubMed DOI

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...
Floods Transportation Regression Analysis Least-Squares Analysis Weather Models, Theoretical Neural Networks, Computer Risk Decision Making Sweden Rivers Geography Models, Statistical Conservation of Natural Resources
View on PubMed DOI

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...
Neural Networks, Computer Databases, Factual Models, Theoretical Humans Transportation Urban Renewal
View on PubMed DOI

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...
Nonlinear Dynamics Transportation Humans Computer Simulation Neural Networks, Computer Time Factors Algorithms Ships
View on PubMed DOI

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...
Reproducibility of Results Ecosystem Time Factors London Bicycling Environment Design Cluster Analysis Humans Artificial Intelligence Algorithms Transportation
View on PubMed DOI

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...
Cluster Analysis Algorithms Regression Analysis Computer Simulation Transportation Neural Networks, Computer Time Factors Fuzzy Logic
View on PubMed DOI

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...
Neural Networks, Computer China Learning Models, Theoretical Geographic Information Systems Transportation
View on PubMed DOI
Popular Topics
Recent Journals