Yanxue Ma¹, Xiaoling Liu^1,*, Bing Wang², Ying Liu¹

Structural Durability & Health Monitoring, Vol.18, No.6, pp. 871-889, 2024, DOI:10.32604/sdhm.2024.052683 - 20 September 2024

Abstract In the bridge technical condition assessment standards, the evaluation of bridge conditions primarily relies on the defects identified through manual inspections, which are determined using the comprehensive hierarchical analysis method. However, the relationship between the defects and the technical condition of the bridges warrants further exploration. To address this situation, this paper proposes a machine learning-based intelligent diagnosis model for the technical condition of highway bridges. Firstly, collect the inspection records of highway bridges in a certain region of China, then standardize the severity of diverse defects in accordance with relevant specifications. Secondly, in order… More >

Zhongping Chen, Weigong Zhang^*

Structural Durability & Health Monitoring, Vol.18, No.2, pp. 111-124, 2024, DOI:10.32604/sdhm.2023.043563 - 22 March 2024

Abstract Automatic control technology is the basis of road robot improvement, according to the characteristics of construction equipment and functions, the research will be input type perception from positioning acquisition, real-world monitoring, the process will use RTK-GNSS positional perception technology, by projecting the left side of the earth from Gauss-Krueger projection method, and then carry out the Cartesian conversion based on the characteristics of drawing; steering control system is the core of the electric drive unmanned module, on the basis of the analysis of the composition of the steering system of unmanned engineering vehicles, the steering… More >

Hong Zhang^1,2,*, Gang Yang¹, Hailiang Yu¹, Zan Zheng¹

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 1047-1063, 2023, DOI:10.32604/cmc.2023.039274 - 08 June 2023

Abstract To accurately predict traffic flow on the highways, this paper proposes a Convolutional Neural Network-Bi-directional Long Short-Term Memory-Attention Mechanism (CNN-BiLSTM-Attention) traffic flow prediction model based on Kalman-filtered data processing. Firstly, the original fluctuating data is processed by Kalman filtering, which can reduce the instability of short-term traffic flow prediction due to unexpected accidents. Then the local spatial features of the traffic data during different periods are extracted, dimensionality is reduced through a one-dimensional CNN, and the BiLSTM network is used to analyze the time series information. Finally, the Attention Mechanism assigns feature weights and performs… More >

Li Lei¹, Zihao Wang^2,*, Yong Wu³

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1815-1830, 2022, DOI:10.32604/cmes.2022.019855 - 19 April 2022

Abstract It is essential to fully understand master the traffic characteristics of the self-stabilizing control effect and road characteristics to ensure the regular operation of transportation. Traffic flow on curved roads and slopes is irregular and more complicated than that on the straight road. However, most of the research only considers the effect of self-stabilizing in the straight road. This study attempts to bridge this deficiency from the following three aspects. First, we review the potential influencing factors of traffic flow stability, which are related to the vehicle's steady velocity, history velocity, and the turn radius… More >

Aimin Zhang, Mingzhi Lu^*

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.4, pp. 907-918, 2022, DOI:10.32604/fdmp.2022.018995 - 06 April 2022

Abstract In this study, it is shown how recycled rubber and waste plastics can modify the softening point and penetration of asphalt traditionally used for highways. It is shown that the modified asphalt can meet the performance index requirements when the components are present with a certain proportion or relative ratio (1:3.5). The dispersion process of the masterbatch in base asphalt can effectively be implemented, with good results and a smaller mixing time. The proposed approach may be regarded as a good strategy to achieve energy savings and protection of the environment. More >

Ruixin Zhao^1,*, Zhongju Feng¹, Guan Jiang¹, Fuchun Wang¹, Yidong Zhang², Changan Zhang³, Zhenbing Wang¹

FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.2, pp. 441-453, 2021, DOI:10.32604/fdmp.2021.010595 - 02 April 2021

Abstract The present study examines the working conditions of fully grouted bolts used for the construction and expansion of high slopes. On the basis of a pull out destructive test, the work load and the ultimate load are obtained on site, and the Flac3d numerical simulation method is employed to determine the axial force distribution and the effective anchor length. The test results show that (1) the Q-S (load-displacement) curve of the bolt displays a certain degree of deformation coupled with the creep of the surrounding rock; (2) the working load of the bolt is closely More >

Xueqing Wang¹, Shuang Liu^1,*, Lejun Zhang²

Computer Systems Science and Engineering, Vol.36, No.1, pp. 259-269, 2021, DOI:10.32604/csse.2021.014343 - 23 December 2020

Abstract The cost of highway is affected by many factors. Its composition and calculation are complicated and have great ambiguity. Calculating the cost of highway according to the traditional highway engineering estimation method is a completely tedious task. Constructing a highway cost prediction model can forecast the value promptly and improve the accuracy of highway engineering cost. This work sorts out and collects 60 sets of measured data of highway engineering; establishes an expressway cost index system based on 10 factors, including main route mileage, roadbed width, roadbed earthwork, and number of bridges; and processes the More >

Congrong Tang^{1, *}

Journal of Quantum Computing, Vol.2, No.1, pp. 1-9, 2020, DOI:10.32604/jqc.2020.09153 - 28 May 2020

Abstract With the rapid development of highway transportation in China, intelligent transportation has become an important part of the traffic structure, and wireless sensor networks are also widely used in intelligent transportation. However, in the wireless traffic sensor network, there is a certain error in the positioning of the anchor blind nodes. In the process of tracking the feedback information, the results of determining the position are very different. Based on the maximum degree of tension, the road traffic wireless Research and analysis of blind node location in sensor networks, and propose solutions and measures to More >

Ibnu Rusydy^1,3,*, Nafisah Al-Huda^1,2, M. Fahmi⁴, Naufal Effendi⁴

Structural Durability & Health Monitoring, Vol.13, No.4, pp. 379-398, 2019, DOI:10.32604/sdhm.2019.08192

Abstract Rock slope kinematic analysis and rock mass classifications has been conducted at the 17^th km to 26^th km of USAID (United States Agency for International Development) highway in Indonesia. This research aimed to examine the type of rock slope failures and the quality of rock mass as well. The scan-line method was performed in six slopes by using a geological compass to determine rock mass structure on the rock slope, and the condition of joints such as persistence, aperture, roughness, infilling material, weathering and groundwater conditions. Slope kinematic analysis was performed employing a stereographic projection. The… More >

Weiwei Liu^{1, *}, Yang Tang², Fei Yang², Jin Wang³

Journal on Internet of Things, Vol.1, No.2, pp. 71-76, 2019, DOI:10.32604/jiot.2019.05946

Abstract Carbon monoxide (CO) is harmful to our health, and even causes death. The main source of CO is automobile exhaust. Therefore, this article determines that CO is the emission factor, and finally the evaluation model is established. The model provides an important basis for the highway construction project design, traffic management, environmental pollution control, energy saving, environmental evaluation and so on. Compared with the traditional method that calculates the road traffic volume through the air emissions model, according to the total amount of air pollution control, this paper builds the emission diffusion model, which calculates More >