AIMC Topic: Transportation

Clear Filters Showing 21 to 30 of 75 articles

Testing the delivery of human organ transportation with drones in the real world.

Science robotics
Last-mile transportation of human donor lungs in a densely populated urban environment has been made possible with drones.

Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters.

International journal of environmental research and public health
Travel mode choice (TMC) prediction is crucial for transportation planning. Most previous studies have focused on TMC in adults, whereas predicting TMC in children has received less attention. On the other hand, previous children's TMC prediction stu...

Object Relocation Visual Tracking Based on Histogram Filter and Siamese Network in Intelligent Transportation.

Sensors (Basel, Switzerland)
Target detection and tracking algorithms are one of the key technologies in the field of autonomous driving in intelligent transportation, providing important sensing capabilities for vehicle localization and path planning. Siamese network-based trac...

Identification and Improvement of Hazard Scenarios in Non-Motorized Transportation Using Multiple Deep Learning and Street View Images.

International journal of environmental research and public health
In the prioritized vehicle traffic environment, motorized transportation has been obtaining more spatial and economic resources, posing potential threats to the travel quality and life safety of non-motorized transportation participants. It is becomi...

Logistics Finance Collaborative Development Model Based on Machine Learning.

Computational intelligence and neuroscience
In the context of rapid social development, a logistics financial model that can meet the financing needs of small and medium-sized enterprises and has high returns is widely used in all aspects of the logistics financial industry. Logistics finance ...

FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features.

Sensors (Basel, Switzerland)
Traffic flow forecasting is a critical input to intelligent transportation systems. Accurate traffic flow forecasting can provide an effective reference for implementing traffic management strategies, developing travel route planning, and public tran...

Lightweight Artificial Intelligence for Secure Data Communication in Energy-Constrained Healthcare Devices.

Computational intelligence and neuroscience
Logistics is the transfer of goods from one place to another, mostly from the production house to the customers. A logistics network is a set of operations that involve designing, production, and marketing the goods. Cold-chain logistics are those th...

Transportation Mode Detection Combining CNN and Vision Transformer with Sensors Recalibration Using Smartphone Built-In Sensors.

Sensors (Basel, Switzerland)
Transportation Mode Detection (TMD) is an important task for the Intelligent Transportation System (ITS) and Lifelog. TMD, using smartphone built-in sensors, can be a low-cost and effective solution. In recent years, many studies have focused on TMD,...

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

Computational intelligence and neuroscience
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...

The Customs Clearance Efficiency of Guangdong-Hong Kong Land Transportation Based on BP Neural Network Algorithm.

Computational intelligence and neuroscience
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 ...