bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Use of Artificial Intelligence in the Construction of Operation Safety Early Warning Management System of Urban Rail Transit
Authors: Lu Yuqiang 
Published: July 2021

Abstract
In order to reduce the risk of safety management of urban rail transit (URRT) and improve the safety early warning of URRT, artificial intelligence (AI) is used to construct the early warning management system of URRT. Firstly, the four factors that affect the safety of URRT are discussed, the URRT system is divided into several modules, and the functions of each module are introduced. Secondly, the safety early warning analysis module is designed based on neural network technology to make it have the ability of safety early warning. Finally, the security prediction system is tested. The results show that the overall prediction error of probabilistic neural network algorithm used is less than 5%, and the classification accuracy of PNN is about 50%, which can achieve excellent prediction of data. The safety early warning system is used to predict the passenger flow of a station, and compared with the actual passenger flow, the prediction model has good prediction accuracy and credibility. Therefore, the safety early warning management system of URRT designed can meet the needs of practical application. This paper provides a reference for the safety management of URRT.
Analysis on Optimization of Normal Bus Lines along Urban Rail Transit
Authors: Wang Qingling , Liu Ying , Lai Liping 
Published: July 2021

Abstract
Starting with the relations of spatial topological structure between urban rail transit and normal bus lines, this paper expounds the adjustment principles and Strategies of normal bus lines along the line after the completion of urban rail transit from two aspects of station and line. Taking Fuzhou Subway Line 2 as an example, this paper analyzes the characteristics of bus lines with long overlapped sections in the area directly served by the subway stations, and puts forward corresponding suggestions for optimization.
A Key Path-Based Deep Learning Approach for Urban Traffic Speed Prediction
Authors: Chen Wentian , Fang Jie , Liu Zhijia , Xu Mengyun 
Published: July 2021

Abstract
Traffic speed prediction in the urban road network is an important and promising task of intelligent transportation systems. Precise traffic speed prediction can mitigate traffic congestion and improve road network utilization. This task is challenging because of the complexity of the spatiotemporal dependency of traffic data among road network. Existing approaches mainly focus on the whole road network and it may capture much redundant information and lead to high computational cost. In this paper, we propose a Key Path-Based Deep Learning Approach: Path-Based CNN-1D + GRU + CNN-2D (P-CGC), a novel deep learning model for traffic speed prediction. Specifically, we use EST-matching algorithm to match the float car data into the road network. Then we select several key paths and build the model for the loop detectors which are in the same key path. We introduce CNN-1D, GRU to extract the temporal dependency of the data, where CNN-1D is used to fuse the contextual information, and GRU is used to capture the features of the temporal dimension. Then we concatenate the output of all CNN-1D+GRU models and use CNN-2D to capture the spatial dependency of the data. Finally, a fully connected neural network is used to transform features into the prediction. We conduct extensive experiments on Zhangzhou real-world datasets, and the proposed approach achieves a good result.
Fault Diagnosis Method of Road Traffic Communication Network Based on SVM
Authors: Mi Jia 
Published: July 2021

Abstract
The development of road traffic communication technology makes communication means more diverse. With the increase of the complexity of urban road traffic communication network, the fault diagnosis of road traffic communication network has been paid more and more attention. The alarm data in the communication network is the manifestation of network failure. Network operation and maintenance personnel can understand the current network operation status according to the alarm information displayed in the system, and then analyze, locate and handle the fault. Therefore, the identification of alarm information is very important for the timely treatment of network failure. In this paper, based on the existing communication network theory and network equipment alarm information, this paper proposes a method using SVM, which can effectively solve the fault identification of network communication input anomaly.
Study on the effect of Acid Rain erosion on the Road performance of Steel Slag Asphalt mixture
Authors: Zhang Yi Luo , Wang Zhao , Liu Guo Pu , Kou Yuan De 
Published: July 2021

Abstract
in order to study the influence rules of acid rain erosion on the road performance of steel slag asphalt mixture, the artificial acid rain solution of pH=2 and distilled water of pH=7 were used to carry out periodic immersion erosion test on asphalt mixture with different amount of steel slag (0, 30%, 50%, 70%), then rutting test, low temperature bending test and freeze-thaw splitting test were carried out on the asphalt mixture eroded by acid rain. The results show that after soaking in acid rain solution, the high temperature stability, low temperature crack resistance and water stability of each steel slag asphalt mixture decrease, and the decreasing range increases with the increase of soaking period. The high temperature stability, low temperature crack resistance and water stability of steel slag asphalt mixture soaked in distilled water also decreased, but the decrease was small.
Research on the Application of System Theory in Traffic Engineering
Authors: Xue Han , Di Wang 
Published: July 2021

Abstract
Traffic engineering is a subject of systematisms, comprehensiveness, intersections, sociality, advance and dynamics. Therefore, system theory is particularly important in the study of traffic engineering. The main task of system theory is to take the system as the object, to study the relationship between the system as a whole and the elements that make up the system as a whole, and to explain its structure, function, behavior and dynamics in essence, so as to grasp the system as a whole and achieve the optimal goal. The systematic analysis methods such as graph theory and operations research are applied to the analysis of traffic engineering problems, so as to meet the needs of the development of “New Engineering” in traffic engineering.
Research on the Safety Governance of Overload and Overrun Transportation on Urban Expressways Based on Big Data Analysis—Taking Huai’an City as an Example
Authors: Hui Sun , Kefeng Wang 
Published: July 2021

Abstract
With the rapid development of traffic, urban expressways are becoming more and more popular. However, the problem of overload and overrun on expressways that followed has been repeatedly banned, seriously affecting transportation safety. This article takes the urban expressway in Huai’an as an example, collects big data, analyzes the data with SPSS software, and combines the real case of the viaduct collapse in Wuxi to provide governance strategies for expressway overload and over-run control and improve transportation safety.
Research on Improvement of Parking Generation Rate Model Based on Behavior Selection
Authors: Xue Han , Dongdong Zhang 
Published: July 2021

Abstract
The traditional parking generation rate model can no longer forecast the demand of parking slots accurately under the pattern of shared parking. Shared parking, which can make full use of the free time of private or non-private parking slots, has become an effective way to ease the pressure of urban parking. Therefore, shared parking behavior selection generation (SPBSG) model is established, based on the analysis of residents’ shared parking selection behavior. The SPBSG model fully simulates residents’ parking choice preferences, shared slots management, parking time differences between different land types, and walking distance after parking. Experiment shows that the SPBSG model can reduce parking slots by 24.45% compared with the traditional parking demand prediction method.
Simulation Study on Surrounding Rock Deformation of Strongly Weathered Sandstone Tunnel Supported by Pipe Shed
Authors: Zhang Liyan , Wen Yuan , Ma Jian , Cao Wenhao 
Published: July 2021

Abstract
Strongly weathered sandstone belongs to the category of soft rock and is easily deformed and damaged during tunnel excavation. In order to explore the control effect of the pipe shed advanced support on the deformation of the strongly weathered sandstone tunnel. This paper uses FLAC3D software to simulate the excavation and support of strongly weathered sandstone, and compares the deformation before and after the support. Through analysis and research, it is found that the pipe roof support has greatly improved the amount of deformation and horizontal convergence of the tunnel vault. The dome subsidence and horizontal convergence are reduced from 162mm and 126mm to 19mm and 13mm respectively, and the reduction is 143mm and 113mm respectively. It can provide experience for similar projects in the future.
Traffic optimization design of The Intersection of Zhan Qian Road and Min Zhu Zhong Road in Jiaozuo City
Authors: Li Meiheng , Zhang Guolong , Yang Jiangfan 
Published: July 2021

Abstract
In recent years, my country’s road infrastructure has been vigorously constructed, urban road network density has increased, and road intersections have also been formed. There are more and more T-shaped intersections. Such intersections often have the characteristics of serious traffic intertwining and difficult traffic organization. Opposite the intersection of Zhan Qian Road and Min Zhu Zhong Road is the railway station. A large number of pedestrians have to pass through the intersection at rush hour or when the train arrives at the station. This road has a lot of people and a large number of non-motorized vehicles. The signal lights at the intersection are not perfect, and the traffic demand is large. In this paper, based on the current signal timing plan and the current status of the crosswalk at the intersection, based on the actual current data survey and service level analysis, the optimization design of the intersection signal timing plan and the crosswalk width optimization are completed. The results showed that the average delay at the intersection was improved by nearly 21 seconds, and the crosswalk lengths at the east entrance, west entrance and north entrance were optimized to 2.5m, 2.4m and 2.6m, respectively. Improved road capacity and reduced vehicle delays.
Security analysis of vehicle violation alarm based on intelligent monitoring platform
Authors: Zheng Lanlan , Niu Jiageng , Li Xianghong , Song Huiying 
Published: July 2021

Abstract
With the development and progress of the society, travel modes are constantly diversified. Passenger transport is deeply loved by people for its advantages of efficiency, convenience and comfort. Traffic accidents caused by overspeed driving and fatigue driving are still a big problem to be solved. This paper will be combined with intelligent monitoring platform to provide vehicle violation alarm record, through the analysis of the statistical data analysis and interview method driver speeding, fatigue driving, and combined with the enterprise management department, to improve the relevant management regulations and put forward new measures, effectively reduce the occurrence of vehicle violations, so as to reduce the occurrence of traffic accidents.
Modal Research of Underground Arch Structure With Elastic Support
Authors: Zhuo Chen , Huixiang Sun , Yingjie Yuan 
Published: July 2021

Abstract
Elastic support is a commonly used method of vibration isolation and vibration reduction. The research on the mode of underground arch structure with elastic support can improve the battlefield survival ability of personnel and equipment in underground protection engineering. In this paper, the ANSYS/LS-DYNA nonlinear explicit dynamic finite element analysis program is used to numerically simulate the mode of the elastically supported underground arch structure, and the natural vibration circle frequency variation curve and mode diagram of the structure are obtained. The results show that the elastic support reduces the natural frequency of the structure, prolongs the natural vibration period of the structure, and has a good vibration isolation and vibration reduction effect; the critical stiffness coefficient causes the first and second modes of the structure to be easily excited at the same time, which should be avoided in structural design.
Optimization design of Transportation signal timing based on numerical solution method
Authors: Zhang Guolong , Li Meiheng , Yang Jiangfan 
Published: July 2021

Abstract
In this paper, the improved numerical method is used to time the traffic lights at intersections. The traditional numerical solution method cannot make the setting of phase difference the most reasonable, and the actual distance of each intersection cannot completely meet the ideal distance, resulting in a lot of loss of green time. Therefore, this method still needs to be improved. Although the survey data in this paper are obtained through field investigation, they are still not universal. More accurate data come from multiple surveys and integration.
Strategic research based on the integration of rail transit and urban space
Authors: Yin Jian , Yao ShunYu , Zhou ZiHang , Geng YuYin , Wang YanHao , Luo WenJie 
Published: July 2021

Abstract
At present, from the situation of most cities in China, the development trend of rail transit is very rapid, and based on the closely combined situation of rail transit and urban space development, it has provided a great role in promoting the modernization of our country. It is worth noting that under the background of the gradual development of urban rail transit, some problems are becoming more and more prominent. Only by effectively solving a series of practical problems can we provide impetus and sufficient guarantee for the realization of the strategic goal of the integration of rail transit and urban space.
Top-level Design and Application of Transportation and Tourism Big Data System for High-altitude Regions
Authors: Gu MingChen 
Published: July 2021

Abstract
In the high-altitude regions of Northwest China, where the levels of transportation infrastructure and public travel information services are relatively weak, problems like inadequate consistency, accuracy and timeliness of information services, insufficiently rich content, poorly targeted services, unsatisfactory public experience and large high-altitude risks remain in contrast to tourists’ growing travel demands for safe, convenient, efficient and comfortable transportation. This study discusses the key points in designing the top-level technical framework and application of transportation and tourism big data system in China’s typical high-altitude Qinghai regions. Particular focuses are on the convergence, sharing, integration and opening of transportation and tourism data under self-driving tour-based high-altitude conditions, as well as the comprehensive utilization of technical ideas and application models. Meanwhile, the main application scenarios of the system are explored for all levels of governmental sectors, the public and businesses. As the research show, the establishment of the system has positive implications for enhancing the coordination and linkage efficiencies between high-altitude scenic spots and surrounding road networks, achieving the “integrated” transportation-tourism information services characteristic of high-altitude regions, and improving the comprehensive analytical and decision-making capacity for transportation and tourism in these regions. The application system can improve the diversified service experience of public travel dominated by self-driving tours to a remarkable extent.
Temporal characterisation of silicon sensors on Timepix3 ASICs
Authors: Dall’Occo E. , Akiba K. , van Beuzekom M. , Buchanan E. , Collins P. , Evans T. , Franco Lima V. , Geertsema R. , Schindler H. , Snoek H. , Tsopelas P. 
Published: July 2021

Abstract
The timing performance of silicon sensors bump-bonded to Timepix3 ASICs is investigated, prior to and after different types of irradiation up to 8 × 1015 1 MeV  neq cm−2. The sensors have been tested with a beam of charged particles in two different configurations, perpendicular to and almost parallel to the incident beam. The second approach, known as the grazing angles method, is shown to be a powerful method to investigate not only the charge collection, but also the time-to-threshold properties as a function of the depth at which the charges are liberated.
Old-growth forest loss and secondary forest recovery across Amazonian countries
Authors: Smith Charlotte C , Healey John R , Berenguer Erika , Young Paul J , Taylor Ben , Elias Fernando , Espírito-Santo Fernando , Barlow Jos 
Published: July 2021

Abstract
There is growing recognition of the potential of large-scale forest restoration in the Amazon as a ‘nature-based solution’ to climate change. However, our knowledge of forest loss and recovery beyond Brazil is limited, and carbon emissions and accumulation have not been estimated for the whole biome. Combining a 33 year land cover dataset with estimates of above-ground biomass and carbon sequestration rates, we evaluate forest loss and recovery across nine Amazonian countries and at a local scale. We also estimate the role of secondary forests in offsetting old-growth deforestation emissions and explore the temporal trends in forest loss and recovery. We find secondary forests across the biome to have offset just 9.7% of carbon emissions from old-growth deforestation, despite occupying 28.8% of deforested land. However, these numbers varied between countries ranging from 9.0% in Brazil to 23.8% in Guyana for carbon offsetting, and 24.8% in Brazil to 56.9% in Ecuador for forest area recovery. We reveal a strong, negative spatial relationship between old-growth forest loss and recovery by secondary forests, showing that regions with the greatest potential for large-scale restoration are also those that currently have the lowest recovery (e.g. Brazil dominates deforestation and emissions but has the lowest recovery). In addition, a temporal analysis of the regions that were >80% deforested in 1997 shows a continued decline in overall forest cover. Our findings identify three important challenges: (a) incentivising large-scale restoration in highly deforested regions, (b) protecting secondary forests without disadvantaging landowners who depend on farm-fallow systems, and (c) preventing further deforestation. Combatting all these successfully is essential to ensuring that the Amazon biome achieves its potential in mitigating anthropogenic climate change.
Large-area van der Waals epitaxy and magnetic characterization of Fe3GeTe2 films on graphene
Authors: J Lopes J Marcelo , Czubak Dietmar , Zallo Eugenio , Figueroa Adriana I , Guillemard Charles , Valvidares Manuel , Rubio-Zuazo Juan , López-Sanchéz Jesús , Valenzuela Sergio O , Hanke Michael , Ramsteiner Manfred 
Published: July 2021

Abstract
Scalable fabrication of magnetic 2D materials and heterostructures constitutes a crucial step for scaling down current spintronic devices and the development of novel spintronic applications. Here, we report on van der Waals (vdW) epitaxy of the layered magnetic metal Fe3GeTe2 (FGT)—a 2D crystal with highly tunable properties and a high prospect for room temperature ferromagnetism (FM)—directly on graphene by employing molecular beam epitaxy. Morphological and structural characterization confirmed the realization of large-area, continuous FGT/graphene heterostructure films with stable interfaces and good crystalline quality. Furthermore, magneto-transport and x-ray magnetic circular dichroism investigations confirmed a robust out-of-plane FM in the layers, comparable to state-of-the-art exfoliated flakes from bulk crystals. These results are highly relevant for further research on wafer-scale growth of vdW heterostructures combining FGT with other layered crystals such as transition metal dichalcogenides for the realization of multifunctional, atomically thin devices.
One-part alkali activated slag using Ca(OH)2 and Na2CO3 instead of NaOH as activator: more excellent compressive strength and microstructure
Authors: Zhou Shiming , Tan Chunqin , Gao Yuan , Li Yang , Guo Shenglai 
Published: July 2021

Abstract
In this paper, sodium carbonate and calcium hydroxide instead of sodium hydroxide used as composite activators, and slag are applied to prepare one-part alkali-activated slag. Furthermore, the properties of the slag activated by sodium hydroxide are compared. The compressive strength, XRD, TGA, MIP, and SEM analysis of the two systems are performed. The results show that the one-part alkali-activated slag prepared from sodium carbonate and calcium hydroxide has a superior compressive strength against the slag activated by sodium hydroxide. It is also found that the hydration speed of the sodium hydroxide activated slag is faster, and thus the higher compressive strength of the one-part alkali-activated slag is not caused by the hydration speed. The hydration of one-part alkali-activated slag produces a certain amount of calcium carbonate, resulting in a lower porosity in comparison with the slag activated by sodium hydroxide, which may be the reason for the better compressive strength of one-part alkali-activated slag.
Dispersion-engineered χ(2) nanophotonics: a flexible tool for nonclassical light
Authors: Jankowski Marc , Mishra Jatadhari , Fejer M M 
Published: July 2021

AbstractThis article reviews recent progress in quasi-phasematchedχ(2)nonlinear nanophotonics, with a particular focus on dispersion-engineered nonlinear interactions. Throughout this article, we establish design rules for the bandwidth and interaction lengths of various nonlinear processes, and provide examples for how these processes can be engineered in nanophotonic devices. In particular, we apply these rules towards the design of sources of non-classical light and show that dispersion-engineered devices can outperform their conventional counterparts. Examples include ultra-broadband optical parametric amplification as a resource for measurement-based quantum computation, dispersion-engineered spontaneous parametric downconversion as a source of separable biphotons, and synchronously pumped nonlinear resonators as a potential route towards single-photon nonlinearities.
On the Lichnerowicz operator in traversable wormhole spacetimes
Authors: Garattini Remo , Nicolini Piero 
Published: July 2021

Abstract
The evaluation of Casimir energies in curved background spacetimes is an essential ingredient to study the stability of traversable wormholes. In practice one has to calculate the contribution of the transverse-traceless component of the metric perturbation on a curved spacetime background. This implies the study of an eigenvalue equation involving a modified form of the Lichnerowicz operator. For arbitrary background spacetimes, however, such an operator does not display transverse-traceless properties, a fact that impedes the determination of the eigenvalues. Against this background, we show that the problem can be circumvented. Casimir energies can be calculated by gauging the original form of the modified Lichnerowicz operator into a transverse-traceless one.