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Campus tourism has been flourishing across the globe in recent decades. Some universities pioneer the development of campus electronic maps (e-maps) so as to provide more efficient map-based services to visitors. However, existing campus e-maps, regarding the hierarchical ordering of elements and visualization strategies, generally adhere to the approaches designed for urban-scale e-maps, leading to the dilemma that the campus e-maps are limited in practical use. Using the case of Wuhan University in China, this study first presents the methodology for classifying campus e-map elements and organizing the campus e-map zoom levels from the perspective of tourists, further demonstrates the visualization strategies, and finally provides some guidelines for making campus e-maps. This research lays a solid foundation for hierarchically ordering map elements and zoom levels, shedding fresh insights for e-map design.

In order to improve the safety of vehicles driving in mountainous areas and other curve roads, a DCT shift strategy for different drivers is designed in this article. First, the test road is digitized and an electronic map model is built based on particle filtering (PF) to achieve the optimal prediction of road conditions. Then, a driver’s intention recognition model is constructed based on principle component analysis (PCA) and Kohonen neural network (KohonenNN) to accommodate different driving intentions, and the appropriate downshift schedules are designed for different driver’s intentions. In addition, we propose the concept of the curve safety factor, and the current safety level is determined by vehicle speed and distance. By combining the earlier discussed concepts, the predictive curve shift strategy is presented. To determine the appropriate downshift schedule and make full use of the auxiliary engine brake to improve the vehicle’s braking efficiency, the strategy utilizes the driver’s intention as well as the vehicle’s current safety level. The simulation and real vehicle test results show that the predictive curve shift strategy can effectively reduce the braking distance and time compared with the traditional one.

To date, the studies on the combination positioning of high-speed trains have made great progress, but the positioning accuracy of these methods is relatively low. Map-matching positioning can improve positioning accuracy, but information transmission is time-consuming. Few studies incorporate it into combination positioning. To solve the problem, this paper proposes a high-speed train positioning method based on combining a Beidou navigation system, an inertial navigation system, and an electronic map. First, the combination positioning problem is transformed into a multi-objective optimization problem, which weights the direction similarity and distance error to form a fitness function and converts the railway line and the maximum error range of each positioning system into constraints. Second, an improved differential evolution algorithm is proposed to solve this problem. By referencing the gray wolf algorithm, the differential evolution algorithm updates individuals by varying toward the direction of multiple optimal values. Then, a new combination positioning algorithm for high-speed trains is proposed. In the simulation, the increase in positioning speed and accuracy is analyzed and validated. Compared to the current algorithms, the proposed algorithm performs better. The proposed method has practical value for improving the reliability and safety of train operations.

Multi-scale electronic map tiles are important basic geographic information data, and an approach based on deep learning is being used to generate multi-scale map tiles. Although generative adversarial networks (GANs) have demonstrated great potential in single-scale electronic map tile generation, further research concerning multi-scale electronic map tile generation is needed to meet cartographic requirements. We designed a multi-scale electronic map tile generative adversarial network (MsM-GAN), which consisted of several GANs and could generate map tiles at different map scales sequentially. Road network data and building footprint data from OSM (Open Street Map) were used as auxiliary information to provide the MsM-GAN with cartographic knowledge about spatial shapes and spatial relationships when generating electronic map tiles from remote sensing images. The map objects which should be deleted or retained at the next map scale according to cartographic standards are encoded as auxiliary information in the MsM-GAN when generating electronic map tiles at smaller map scales. In addition, in order to ensure the consistency of the features learned by several GANs, the density maps constructed from specific map objects are used as global conditions in the MsM-GAN. A multi-scale map tile dataset was collected from MapWorld, and experiments on this dataset were conducted using the MsM-GAN. The results showed that compared to other image-to-image translation models (Pix2Pix and CycleGAN), the MsM-GAN shows average increases of 10.47% in PSNR and 9.92% in SSIM and has the minimum MSE values at all four map scales. The MsM-GAN also performs better in visual evaluation. In addition, several comparative experiments were completed to verify the effect of the proposed improvements.

This paper presents a novel autonomous navigation system. Our proposed system is based on a simple map (an Edge-Node Graph, which is created from an electronic map). This system consists of “Localization,” which estimates which edge is on the Edge-Node Graph, “Environmental Recognition,” which recognizes the environment around the robot, and “Path Planning,” which avoids objects. Since the robot travels using the Edge-Node Graph, there is no need to prepare an environmental map in advance. In addition, the system is quite robust, since it relies less on prior information. To show the effectiveness of our system, we conducted experiments on each elemental technology as well as some traveling tests.

The effective functioning of the radiation monitoring network is an all-important task for all countries worldwide because the health of personnel working at radiation-hazardous facilities and the population living in the affected areas depend on it. A critical analysis of the functioning of radiation monitoring systems of various countries worldwide (Ukraine, United States of America, France, Sweden, Germany, South Korea, Switzerland, and China) was valid and showed their advantages and disadvantages. Criteria for displaying data on the electronic map about the state of radiation pollution and criteria for reports on the functioning of the radiation monitoring network have been determined. To improve the functioning of the radiation monitoring system of Ukraine, some recommendations for their improvement have been provided.

This article is devoted to the creation of complex electronic maps of agriculture and agro-geo databases on the basis of geoformation systems (GIS) and technologies. Scientific and practical research on the mapping of the agricultural sector conducted by scientists from foreign countries, the Commonwealth of Independent States and Uzbekistan. Analyzing the research on the classification of agricultural maps, the classification of agricultural maps for the Republic of Uzbekistan is proposed. Content elements of maps covering agricultural sectors and infrastructure objects have been developed by studying topo geodesic, field research, statistical data and classification of agricultural maps. Analyzing the scientific and applied research work on the creation of maps of the studied area, a technological system for creating an electronic map of agriculture using GIS and technologies was developed. This technological system involves the initial data collection, software selection, thematic layer development, conditional character processing, printing, and other processes in creating an agricultural map. A technological system for creating an agro-geo databases has been developed using the proposed content elements, topographic and geodetic works, statistical data and the capabilities of GIS technologies. The agro-geo databases are a standard environment that can be integrated into computers, Internet networks and mobile devices, as well as manage, store and edit agricultural data using ArcGIS software.

Addressing the current issue of not considering the influence of road geometry in the recognition of aggressive turning, a dangerous driving behavior, this paper proposes a method to eliminate the impact of road curvature on the recognition of aggressive turning based on On-Board Diagnostics (OBD) trajectory data and high-precision electronic map data. The method is validated using Jinan City as the study area. The results show that the proposed method effectively removes the influence of road curvature on the recognition of aggressive turning (left or right turns), reduces misjudgments of dangerous driving behaviors of drivers, and enhances the accuracy of identifying drivers' aggressive turning hazardous behaviors.

The paper discusses the main difference between the navigation electronic map and the general electronic map, analyzes the structure of the navigation electronic map system from the function and constitution, discusses the domestic navigation electronic map on the main source of data as well as the acquire method, puts forward two navigation data updating methods: the version - incremental navigation data updating method and the push type service - online data dynamic updating method , offers the production process of navigation electronic map and looks ahead to the development trend of the domestic navigation electronic map.

AIS EDiSZ includes electronic document management, an electronic map and an electronic schedule, which reduces equipment downtime, improves navigation and simplifies the receipt of tasks by employees. The introduction of AIS EDiSZ not only solves current problems, but also creates the basis for further digitalization of the industry, increasing the efficiency of enterprises and opening up opportunities for the introduction of innovative technologies. The study concludes with the design of the implementation of the system in the enterprise. The result of the work is the introduction of an automated information system for electronic document management and communication (AIS EDiSZ) to solve the problems of logging enterprises associated with unreliable document management and employee navigation.