AIMC Topic: Transportation

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The Risk Model of Traffic Engineering Investment and Financing by Artificial Intelligence.

Computational intelligence and neuroscience Aug 3, 2022
This study aims to analyze the influencing factors and mechanisms of investment and financing risks in transportation projects so that regions do not restrict the transportation investment and financing risk models in all areas to achieve intelligent...
Artificial Intelligence Technology Investments Transportation
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The Customs Clearance Efficiency of Guangdong-Hong Kong Land Transportation Based on BP Neural Network Algorithm.

Computational intelligence and neuroscience Jul 31, 2022
With the continuous development of the economy, the trade volume of customs clearance by land transportation between Guangdong and Hong Kong is increasing, but there are many problems in customs clearance by land transportation between Guangdong and ...
Neural Networks, Computer China Hong Kong Culture Transportation
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An Algorithm for Task Allocation and Planning for a Heterogeneous Multi-Robot System to Minimize the Last Task Completion Time.

Sensors (Basel, Switzerland) Jul 28, 2022
This paper proposes an algorithm that provides operational strategies for multiple heterogeneous mobile robot systems utilized in many real-world applications, such as deliveries, surveillance, search and rescue, monitoring, and transportation. Speci...
Algorithms Computer Simulation Robotics Transportation
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Intelligent Research Based on Deep Learning Recognition Method in Vehicle-Road Cooperative Information Interaction System.

Computational intelligence and neuroscience Jun 29, 2022
The vehicle-road collaborative information interaction system is an emerging technology system that realizes the sharing of information between vehicles, vehicles and roads between traffic road information, and driving vehicle information. It is of p...
Algorithms Computer Simulation Deep Learning Automobile Driving Transportation
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An Intelligent Traffic Surveillance System Using Integrated Wireless Sensor Network and Improved Phase Timing Optimization.

Sensors (Basel, Switzerland) Apr 27, 2022
The transportation industry is crucial to the realization of a smart city. However, the current growth in vehicle numbers is not being matched by an increase in road capacity. Congestion may boost the number of accidents, harm economic growth, and re...
Artificial Intelligence Cities Accidents Transportation
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Design and Implementation of an ML and IoT Based Adaptive Traffic-Management System for Smart Cities.

Sensors (Basel, Switzerland) Apr 10, 2022
The rapid growth in the number of vehicles has led to traffic congestion, pollution, and delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation, moving the universe towards automated processes and intelligent man...
Machine Learning Cities Automobiles Accidents Transportation
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An intelligent optimization method for highway route selection based on comprehensive weight and TOPSIS.

PloS one Feb 25, 2022
In order to accurately analyze and evaluate multi-index and multi-route traffic schemes for comparison and selection, we introduce herein a comprehensive weight and an intelligent selection algorithm for traffic scheme optimization to improve upon th...
Humans Artificial Intelligence Algorithms Research Design Computer Simulation Life Cycle Stages Environment Transportation
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DGSLSTM: Deep Gated Stacked Long Short-Term Memory Neural Network for Traffic Flow Forecasting of Transportation Networks on Big Data Environment.

Big data Feb 10, 2022
Deep learning and big data techniques have become increasingly popular in traffic flow forecasting. Deep neural networks have also been applied to traffic flow forecasting. Furthermore, it is difficult to determine whether neural networks can be used...
Neural Networks, Computer Forecasting Deep Learning Big Data Transportation
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Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review.

Sensors (Basel, Switzerland) Jan 8, 2022
This paper aims to provide a review of the electrically assisted bicycles (also known as e-bikes) used for recovery of the rider's physical and physiological information, monitoring of their health state, and adjusting the "medical" assistance accord...
Humans Artificial Intelligence Accidents, Traffic Electricity Bicycling Transportation
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Multicomponent Spatial-Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data.

Computational intelligence and neuroscience Dec 23, 2021
Predicting traffic data on traffic networks is essential to transportation management. It is a challenging task due to the complicated spatial-temporal dependency. The latest studies mainly focus on capturing temporal and spatial dependencies with sp...
Neural Networks, Computer Transportation
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