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Exploring Empty Truck Behavior Using One-Year Probe Vehicle Data
Examining empty truck behavior can be beneficial in developing an efficient and environmentally friendly logistics system. This study used probe...
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Impact of a Truck Safety Fare System on Rail Freight Transport Volume
Korea implemented a truck safety fare system for a trial period from January 1, 2020 to December 31, 2022, to improve the safety of truck drivers...
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Deep Neural Network Models for Improving Truck Productivity Prediction in Open-pit Mines
The accurate prediction of truck productivity plays a pivotal role in improving the efficiency and profitability of open-pit mining operations....
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Truck platoon analysis for autonomous trucks
Selection of optimum platoon pattern based on types of trucks inside the platoon, the number of trucks in the platoon, headway distance, interplatoon...
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Anomaly Detection and Performance Visualization of Truck Parking Information and Management Systems
The shortage of truck parking is one of the main challenges facing drivers, fleet managers, and owner operators in the US. To help drivers make safer...
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Path Tracking Control for Autonomous Truck with Dual Modular Chassis
This study focuses on enhancing the agility and path tracking capabilities of autonomous trucks equipped with dual 4WIS-4WID modular chassis. To...
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In the driver’s seat: the role of transformational leadership in safe and productive truck cargo transport
This study investigates the effect of safety-specific transformational leadership (SSTL) on the performance outcomes of safe driving and driving...
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Truck scheduling with fixed outbound departures in a closed-loop conveyor system with shortcuts
With the global trend of e-commerce, companies pursue a higher quality of parcel delivery service since customers expect faster transportation in...
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The Optimization of Split Demand Route Planning Under Metro-Truck Collaborative Distribution
With the evolution of people's consumption habits and the rapid growth of urban logistics, the number of trucks and delivery frequency has increased...
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Route planning of truck and multi-drone rendezvous with available time window constraints of drones
During the scenarios of cooperative tasks performed by a single truck and multiple drones, the route plan is prone to failure due to the...
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Weighted ensembles of artificial neural networks based on Gaussian mixture modeling for truck productivity prediction at open-pit mines
The truck haulage data from open-pit mine sites are usually massive and multidimensional with multi-peak Gaussian distributions. Artificial neural...
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Admissible control for a singular T-S fuzzy time-delay system: application to a truck-trailer system
This investigation tackles the challenges of implementing admissible control in a singular T-S fuzzy time-delay system. The strategy entails...
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Characteristics of Right-Turning Light-Duty Truck Collision Accidents Involving Pedestrians in Different Time Zones
This study attempts to clarify the characteristics of light-duty truck collision accidents involving pedestrians during right-turn maneuvers by...
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Analysis of Machine Learning Approaches to Predict Disruptions in Truck Appointment Systems
In order to manage the demand and control the flow of cargo arriving at terminals, the port sector created a dynamic Truck Appointment System....
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Optimization of hydrogen sensor placement for hydrogen leakage monitoring in the fuel cell truck
Hydrogen safety is one of the most important issues for fuel cell vehicles due to the leakage and wide flammability of hydrogen. It is essential to...
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How Will Dynamic Charging Tariff Affect Electric Truck Fleet Operation: A Two-Stage Stochastic Model
Technical advances and sustainable development tendency accelerate the implementation of electric trucks. However, the penetration of dynamic...
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Endurance results of a refuels fleet test in a real application based on directly comparable truck test pairs
Synthetic fuels from a renewable base are an essential part of a greenhouse gas-neutral mobility, especially in transport sector. While scaling...
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Over 60,000 km in a year: remotely collecting large-volume high-quality data from a logistics truck
After the first successful large-scale demonstration of eleven self-driving vehicles at the DARPA Urban Challenge in 2007, research results from the...
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A multiplier adjustment algorithm for a truck scheduling and transshipment problem at a cross-docking terminal
The paper deals with a truck scheduling and transshipment problem in a cross-docking terminal, with one inbound gate and one outbound gate. Each...
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Classification of Driving Tendency of Commercial Truck Drivers Based on AdaBoost Algorithm
In order to study the differences in the driving behavior of truck drivers, a classified management of truck drivers is implemented. Obtain the...
