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Study on the Influence of Rural Highway Landscape Green Vision Rate on Driving Load Based on Factor Analysis.
Sensors (Basel)
January 2025
School of Civil Engineering Architecture and the Environment, Hubei University of Technology, Wuhan 430068, China.
The green vision rate of rural highway greening landscape is a key factor affecting the driver's visual load. Based on this, this paper uses the eye tracking method to study the visual characteristics of drivers in different green vision environments on rural highways in Xianning County. Based on the HSV color space model, this paper obtains four sections of rural highway with a green vision rate of 10~20%, green vision rate of 20~30%, green vision rate of 30~40%, and green vision rate of 40~50%.
View Article and Find Full Text PDFBending Performance of Diamond Lattice Cylindrical Shells.
Materials (Basel)
January 2025
School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
The Diamond lattice cylindrical shell (Diamond LCS) was proposed by a mapping approach based on the triply periodic minimal surfaces (TPMS). The finite element models were built and their accuracy was verified by experimental results. Parameter studies were carried out to investigate the effect of geometric and loading parameters on the bending properties of the Diamond LCSs by the finite element model.
View Article and Find Full Text PDFReinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles.
Sci Rep
January 2025
Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan University, 11586, Riyadh, Saudi Arabia.
The Internet of Vehicles (IoV) transforms the automobile industry through connected vehicles with communication infrastructure that improves traffic control, safety and information, and entertainment services. However, some issues remain, like data protection, privacy, compatibility with other protocols and systems, and the availability of stable and continuous connections. Specific problems are related to energy consumption for transmitting information, distributing energy loads across the vehicle's sensors and communication units, and designing energy-efficient approaches to processing received data and making decisions in the context of the IoV environment.
View Article and Find Full Text PDFResearch on restraint strategies for rearward-reclined occupants in a frontal rigid barrier crash.
Sci Rep
January 2025
School of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Autonomous driving technology has led to an increasing preference for rearward seating postures. However, current restraint systems exhibit significant shortcomings in protecting reclined occupants. In this paper, based on the existing restraint system components, various restraint strategies were configured to enhance the protection for reclined occupants.
View Article and Find Full Text PDFExamining driving stability and traffic capacity: A simulation study on appropriate speed limits in expressway work zones.
PLoS One
January 2025
School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan, China.
In order to obtain proper speed limits in expressway work zones, CarSim and TruckSim software were used to determine the critical car and truck safe speeds and then VISSIM software was used to determine the traffic capacities and their corresponding speed limits under different upstream transition area lengths and road adhesion coefficients. The results show that critical car and truck safe speeds increase exponentially while traffic capacity and its corresponding speed limit increase logarithmically with rising road adhesion coefficient under a constant upstream transition area length, and critical car and truck safe speeds increase as a power function while traffic capacity and its corresponding speed limit increase exponentially with rising upstream transition area length under a constant road adhesion coefficient. Because Road Traffic Signs and Markings- Part 4: Work Zone (RTSM, GB 5768.
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