Navigation Information Research Articles

Design of Virtual Tourism In Ciwidey Area, Bandung District

The COVID-19 pandemic in 2020 significantly impacted various sectors, including tourism, leading to restrictions on community activities. This study focuses on the aftermath of the pandemic and explores virtual tourism as a recovery strategy. The authors propose a virtual tourism platform developed using the Multimedia Development Life Cycle, concentrating on the Ciwidey area with attractions like Kawah Putih and Situ Patengan. Qualitative methods were employed, including interviews and documentation studies involving industry, Academia, and government representatives as informants. The Ciwidey area's unique features, characterized by captivating landscapes, were harnessed for virtual tourism content. The author utilized a multimedia approach, incorporating video, text, photos, and sound on a web platform, prioritizing high-quality 360° x 180° videos and drone views. To ensure user satisfaction, the author conducted testing and evaluated navigation ease, cognitive content, information presentation, media integration, artistic aesthetics, and overall functionality. The website, stored on hosting, is accessible globally through the World Wide Web (WWW) in a responsive format, enhancing user experience across different devices. This innovative approach aims to revitalize the tourism sector by offering an engaging virtual experience, adapting to the changing landscape caused by the pandemic.

Girls and Online Civic Engagement: Why Are They Less Likely to Engage in Political Discussion and Argumentation?

The text summarizes the results of the second wave of research conducted in Poland as part of the ySKILLS project (Horizon 2020), which explored young people’s digital skills and online civic engagement from six European countries. The study aimed to answer research questions about gender differences in digital skills and the forms of civic engagement in which young people participate through digital means. Data were collected through a Quantitative Longitudinal Data Collection method (survey), and the sample consisted of 1,340 Polish students aged 12–17 from twelve primary and secondary schools. The results showed that boys reported higher levels of involvement in online civic engagement than girls, especially in two areas: 1) discussing or commenting onsocial or partial political issues online and 2) joining or following a political group on social networks. Regarding digital skills, students reported higher levels of proficiency incommunication and interaction skills and lower levels in programming skills. Regarding girls’ digital skills, statistically significant differences were noticed in four areas. Boysdeclared having higher digital skills in technological and operational skills, programming skills, and information navigation and processing skills. It is recommended that schools and policymakers implement measures aimed at reducing gender disparities, for instance, by providing girls with increased chances to acquire programming skills or by highlighting to girls the advantages of engaging in online civic activities.

Developing an Algorithm to Improve Positioning Accuracy of Low-Cost Global Navigation Satellite System Modules

Global Navigation Satellite System (GNSS) technology is the most widely used technique for obtaining positioning and navigation information for various applications. However, GNSS is not an error free technology. Differential GNSS techniques are used to mitigate these errors and different commercial brands of GNSS receivers have been developed to avoid some errors where quality and performance depends heavily on the price tag of such advance GNSS receivers due to the fact that technological capabilities adopted and embedded in each single GNSS receiver. There are user cases where the few or more those capabilities has to keep leave behind thereby compromise the cost to benefit ratio. As an alternative to above problem, some low-cost GNSS modules are now available in the market which has quite low position accuracy but can be developed to address unique requirements of some user cases. In practical situations, Real-Time-Kinematic (RTK) positioning systems cannot be used everywhere due to its technical limitations and GNSS receivers use different levels of techniques such as moving baseline system or Satellite Based Augmentation System (SBAS). Further, heading information is also a very important parameter in marine industry for obtaining the vessel’s orientation. This research attempts to assess the capability of u-blox NEO M8N GNSS module for hydrographic surveys by developing a moving baseline GNSS configuration and simple Kalman filter based algorithm. The developed prototype was tested in both static and kinematic observations. The prototype achieved 0.5-2.5 meters of position accuracy at the 95% confidence level in static observations, while it archived around 3 meters of positioning accuracy in kinematic observations. This is a sufficient accuracy for Order 1a, Order 1b and Order 2 standards of hydrographic surveys according to the IHO S-44 guidelines.

Path Planning of Unmanned Surface Vehicle Based on Improved Sparrow Search Algorithm

In order to solve the problem of many constraints and a complex navigation environment in the path planning of unmanned surface vehicles (USV), an improved sparrow search algorithm combining cubic chaotic map and Gaussian random walk strategy was proposed to plan it. Firstly, in the population initialisation stage, cubic chaotic map was used to replace the random generation method of the traditional sparrow search algorithm to optimise the uneven initial distribution of the population and improve the global search ability of the population. Secondly, in the late iteration of the algorithm, the standard deviation of fitness is introduced to determine whether the population is trapped in the local optimum. If true, the Gaussian random walk strategy is used to perturb the optimal individual and assist the algorithm to escape the local optimum. Thirdly, the chosen water environment is modelled, and the navigation information of the original inland electronic navigation chart (ENC) is preprocessed, gridised, and the obstacle swelling is processed. Finally, the path planning experiments of USV are carried out in an inland ENC grid environment. The experimental results show that, compared with the traditional sparrow search algorithm, the average fitness value of the path planned by improved sparrow search algorithm is reduced by 14.8% and the variance is reduced by 49.9%. The path planned by the algorithm is of good quality and high stability and, combined with ENC, it can provide a reliable path for USV.

Distributed Range-Only Localization That Preserves Sensor and Navigator Privacies

Distributed state estimation and localisation methods have become increasingly popular with the rise of ubiquitous computing, and have led naturally to an increased concern regarding data and estimation privacy. Traditional distributed sensor navigation methods typically involve the leakage of sensor or navigator information by communicating measurements or estimates and thus do not preserve participants' privacy. The existing approaches that do provide such guarantees fail to address sensor and navigator privacy in the common application of model-based range-only localisation, consequently forfeiting broad applicability. In this work, we define a notion of privacy-preserving linear combination aggregation and use it to derive a modified Extended Kalman Filter using range measurements such that navigator location, sensors' locations, and sensors' measurements are kept private during navigation. Additionally, a formal cryptographic backing is presented to guarantee our method's privacy as well as an implementation to evaluate its performance. The novel, provably secure, range-based localisation method has applications in a variety of environments where sensors may not be trusted or estimates are considered sensitive, such as autonomous vehicle localisation or air traffic navigation.

Challenges and Opportunities in a Resource Desert: Las Vegas Boot Camp Translation

AbstractBackgroundThe state of Nevada has the 3rd fastest growing rate of Alzheimer’s disease and related dementias (ADRD) in the country with a 30.6% projected increase between 2020 and 2025. Growth in ADRD is complemented by growth in the diversity of residents, particularly in Las Vegas, where the growth of minoritized populations outpaces national rates. Nevada is 30% Hispanic/Latino (H/L) and Las Vegas is 33% H/L. Among the challenges presented by this growth, Nevada is characterized as a ‘neurology desert’, lacking the necessary specialists to meet the state’s care demands and lacking the traditional infrastructure for care and research referral. In order to better understand local experiences seeking care and address communication barriers, we applied the Boot Camp Translation model for the Las Vegas H/L community.MethodWe identified 14 community members to participate in our ADRD BCT through community connections, targeted email blasts, and social media. BCT members ranged in age from 23 to 62 (M = 43, SD = 13.74), were majority female (10/14) and H/L (11/14), and most (10/14) were connected to local non‐profit organizations serving H/Ls, those with ADRD, and/or older adults.ResultBCT members identified messages to increase AD awareness that reflected love, “respeto” (respect), resilience, and connection; messages targeted younger and middle‐age adults and community organizations: 1) “Amar es saber” (“To love is to know”), which encourages discussions among family members; 2) “The community cares. Let’s talk.”; and 3) “Podemos afrontar el Alzheimer juntos.” (”We can face Alzheimer’s disease together.”). BCT members identified our resource desert as a key challenge to message‐based calls to action. As reflected by their messages, they also highlighted opportunities for community members to engage and support message dissemination.ConclusionThe Las Vegas BCT effectively identified messages, challenges, and opportunities to increasing AD knowledge and research engagement. Many BCT members joined our community advisory board; they emphasize the need for ongoing advocacy in the state, Spanish‐language resources, and an online presence that simplifies and supports navigation of services and information.

Analysis of GNSS/IMU Sensor Fusion at UAV Quadrotor for Navigation

To determine the position and navigation of an unknown environment, UAVs rely on sensors that provide information regarding position, speed, and orientation. There are sensors to provide direct navigation information such as the Global Navigation Satellite System (GNSS) by providing position data, or indirect sensors such as inertial sensors which provide speed and orientation data. An inertial sensor or commonly known as an Inertial Measurement Unit (IMU) is a combination of data acceleration (accelerometer) and angular velocity (gyroscope). By performing GNSS/IMU sensor fusion at UAV Quadrotor will increase the accuracy of aircraft localization based on its mathematical model involving the Kalman Filter approach. The main goal is to improve the coordinates obtained from Quadrotor UAV measurements, so that position of UAV Quadrotor aircraft is more accurate. Raw data of sensors GNSS/IMU is obtained during the flight of the aircraft. Visual comparison is used to determine whether the coordinate of the processed data has better accuracy than the raw data. The results showed that the Unscented Kalman Filter (UKF) simulation gave 3D position accuracy of 0.403 m to the measurement data. It can improve 23,47% fprm EKF Estimation which give 3D position accuracy of 16.598 m.

A statistical method of GPS spoofing detection using power spectral density for hardware

AbstractLocation and navigation information has become an important part of our lives. GPS data is vital in many areas from transportation to economy, from energy to security. The alteration of this information can have deleterious downstream effects that cannot be reversed. Today, it is possible to attack GPS data with accessible hardware and open source software. In this paper, the signal obtained with the help of a transceiver that samples the high frequency RF signals down to the intermediate frequency was compared with the RMS value by windowing over PSD. Then this data was statistically analyzed with the NIST runs test. In order to realize GPS signal spoofing in a short time that after GPS receiver lock the spoofing signal, field programmable gates connected to the transceiver were used. The results obtained varied according to the dimensions of the windowing process, and it was understood that the window size was in a correlation with the detection of deception in a short time. The suggested method's key benefit is its simplicity, which makes it adaptable to various GNSS systems.

Status quo and improvements of timekeeping in GNSSs

A time offset of 1 microsecond could lead to 300-meter positioning offset for a global navigational satellite system (GNSS). Therefore, appropriately evaluating and improving the clock performance onboard GNSS satellites are critical. The research methods and conclusions of papers written in distinct periods about their contemporary satellites clocks are chronologically synthesized. The satellites clocks among the same and different GNSSs are compared, with the time primarily centered around the launching and development of BeiDou-2 and BeiDou-3. It is found that passive hydrogen maser (PHM) and rubidium atomic frequency standard (RAFS) have a better performance than cesium (Cs) clocks, and PHM are among the best clock onboard satellites so more attention may be given to its development. Two major factors affecting timekeeping precision are the selection of clock manufacturers and clock types. The European manufacturing technique is pioneering, but the RAFS and PHM independently developed by China in recent years indicate a good performance. To improve navigation service, an accurate evaluation of satellites performance should be conducted, and the results can be used to assign the weight of satellite differently in computing navigation information.

Bridging Culture and Language: Encouraging Bilingual/Multicultural Individuals to Act as Information Navigators for Their Loved-Ones and Communities during the COVID-19 Pandemic

Linguistically diverse communities face barriers to receiving appropriate health information. COVID-19 exacerbated these health-communication inequities. University of Washington researchers surveyed bilingual staff, students, and medical interpreters – desiring training to become effective communicators of COVID-19 information to their social networks and language communities. In response, the COVID-19 Information Navigator Training was developed and pre-tested with professional networks and members of the target audience. The final training comprised three interactive modules and short quizzes. Evaluation surveys measured Information Navigators’ confidence in providing COVID-19 information to their social networks. Surveys included questions on the participants’ language or cultural community, the perceived value of the training, and their ability to communicate COVID-19 information. Among 393 participants who enrolled in the training, 284 completed the survey. Significant differences in confidence before and after the course were found in detecting COVID misinformation in the news and social media (pre-course mean: 3.83, post-course mean: 4.63; absolute mean difference was 0.82 points higher in the post-evaluation on the 5-point likert scale, 95% CI: 0.70–0.93, p < .01). Training multicultural volunteers to disseminate information to their social networks is a promising strategy for reaching linguistically diverse communities with up-to-date information during health emergencies.

Combining Mindwave, MPU6050, Ultrasonic, and Internet of Things for a reliable, safe, and monitored wheelchair control system

This paper proposes the development of a wheelchair control system by combining a Mindwave EEG (electroencephalogram) sensor, an MPU6050 inertial sensor, an ultrasonic sensor, and IoT technology. Stroke survivors often face challenges in controlling their wheelchairs due to cognitive and physical impairments, requiring specific solutions to ensure their safety and comfort. The integration of the Mindwave EEG sensor captures the user's cognitive state, such as level of attention and focus, while the MPU6050's inertial sensor monitors physical movement and changes in head orientation. Additionally, the ultrasonic sensor is incorporated to detect obstacles and provide proximity information for safe navigation. This wheelchair control system is also linked with IoT technology to enable monitoring of the user's cognitive, physical, and environmental condition and remote assistance. In this paper, to implement this wheelchair control system, a T-BEAM with an ESP32 controller is used, which is equipped with GPS to provide wheelchair location data and LORA radio communication for remote data transmission, and a TTGO LORA32 to forward the data to Arduino IoT Cloud service over Wi-Fi. The results of the development show that the wheelchair control system is safer and more monitored, and users are easier and more flexible in operating wheelchairs.

Adaptation française et propriétés psychométriques de l’échelle d’utilisabilité perçue des sites web « Design-oriented evaluation of perceived usability (DEEP) »

IntroductionWith the ubiquitous and often unavoidable use of websites, it is necessary that they present the best possible usability to satisfy users. The Design-Oriented Evaluation of Perceived Usability (DEEP) questionnaire, comprising 19 items, assesses perceived usability on the basis of six genotypic criteria: content, structure and information architecture, navigation, cognitive effort, layout consistency, and visual guidance. After completing the DEEP, designers are then able to identify the main factors of the website that cause problems. ObjectiveThe aim of this study was to propose a cross-cultural adaptation of the DEEP in French and to evaluate its psychometric qualities. MethodFour hundred and seventy users completed an online survey to give their opinion on the Onisep.fr website. The survey included the French translation of the DEEP (F-DEEP) and the Net Promoter Score questionnaire. A principal component analysis (PCA) with oblimin rotation, an internal consistency analysis, several confirmatory factor analyses (CFA) and a convergent validity study between the F-DEEP and the NPS were conducted. ResultsThe PCA suggests a 6-factor structure, which partly corresponds to the 6 factors of the original questionnaire. The internal consistency is very satisfactory, with a Cronbach's alpha coefficient of 0.944 and a McDonalds omega of 0.945. The CFA with the most satisfactory fit indices corresponds to the first-order model including the 6 factors of the F-DEEP. All the correlations calculated between the F-DEEP factors and the NPS are positive and highly significant. ConclusionThe F-DEEP has very good psychometric qualities, which means that it can be used by researchers and professionals in the field of ergonomic psychology of human-computer interaction to evaluate websites for French-speaking audiences. This questionnaire can also be applied to the evaluation of the usability of mobile applications.

Nationwide analysis of legal barriers impacting patients with cancer and caregivers.

300 Background: The extent of legal barriers requiring appropriate navigation in patients following cancer diagnosis is unknown. We performed a nationwide analysis of a patient navigation program to investigate prevalence of such barriers. Methods: This retrospective analysis used the Triage Cancer Legal &amp; Financial Navigation Program’s de-identified electronic database. Triage Cancer is a national, nonprofit organization that provides free education on legal issues that impact individuals diagnosed with cancer. Sociodemographic, financial, disease-site, and medical-legal navigation information were obtained for descriptive analysis. The main study outcome was the primary legal issue prompting a call to Triage Cancer for assistance. Associations between variables and the primary legal issue were explored with multinomial logistic regression analysis. Results: We investigated 2613 callers (1679 patients, 463 caregivers, 373 providers) between 2021-2023 in reference to patients who were 61% female, 57% aged 40-64y, 48% White, 37% employed, 32% on employer-sponsored insurance, and 45% with income &lt;$50k. Breast (27%), hematologic (18%), and GI (10%) cancers were most common, and 39% of all patients were on treatment at time of call. Majority called for assistance with 1 (51%) or 2 (32%) legal barriers. Most common primary issue was health insurance (29% - insurance options, navigation, and appeals), followed by financial (20% - financial assistance or life insurance), disability (18% - applications and appeals), employment (17% - taking time off, working through treatment, returning to work, laid off, new job search, and unemployment benefits), and other (16% - housing, estate planning). Compared to health insurance, navigation for disability-related barriers was significantly higher among Black (OR 2.1) patients, and those with GI (OR 3.1) and lung cancer (OR 2.9) (Table). Employment barriers were higher among Black (OR 2.5) and Hispanic (OR 2.5) patients, and financial barriers among Black (OR 2.9), Hispanic (OR 2.4), and those on Medicaid (OR 2.9). Conclusions: This study highlights the prevalence of legal barriers impacting patients with cancer and their caregivers. It underscores an urgent need for accessible legal navigation programs, and potential for federal policy-level efforts in building legal safeguards to improve care.[Table: see text]

Confirmatory factor analysis of digital skills on the use of mobile banking services in Subang district

The research aimed to identify and validate the digital skills required to use mobile banking services in Subang Regency. The study used non-probability and purposive sampling techniques to survey 350 banking customers who use mobile banking services in the Subang Regency. The results of the digital skills factor analysis showed that the indicators of each latent variable, including operational mobile skills, information navigation skills, social skills, and creative skills, were valid and able to represent their respective constructs. However, the model fit value did not meet the criteria, indicating that modifications were necessary to obtain a fit model. This study provides a starting point for further research to explore the model using the Exploratory Factor Analysis (EFA) analysis method or make modifications using the Confirmatory Factor Analysis (CFA) method to obtain a fit model that can contribute as a medium to confirm relevant and valid factors representing their constructs

A Virtual System and Method for Autonomous Navigation Performance Testing of Unmanned Surface Vehicles

An overall framework of the virtual testing system has been established based on the analysis of the virtual testing requirements for autonomous navigation performance of unmanned surface vehicles (USVs). This system consists of several modules, including the environment module, motion module, sensor module, and 3D visualization module. Firstly, within the robot operating system (ROS) environment, a three-dimensional navigation environment was generated by combining actual wave spectra with Gerstner waves. By designing a power plugin for USV navigation, the system was made to reflects the coupled motion model of USVs in wind, waves and currents, along with predictive results. Regarding the four typical sensor information on USVs, the actual sensors were virtualized, and a simulation approach for virtual sensor information is provided. The three-dimensional visualization of USV’s motion enables the intuitive display and analysis of the virtual testing process. Based on the prediction of coupled motion characteristics in wind, waves and currents, the interaction between USVs and the virtual testing system has been realized. A platform for virtual testing experiments to determine the autonomous navigation performance of USVs was established, and the effectiveness of the platform was verified in terms of perception and environmental interference. In virtual environmental interference validation, the average amplitude deviation of the heave motion of USVs under sea state 3 reaches 0.74 m, and the average amplitude deviation of the pitch motion reaches 0.25 rad, showing the gradually increasing disturbance of the sea state. Finally, virtual testing experiments were conducted on a specific USV to evaluate its autonomous navigation perception performance, trajectory tracking performance, and autonomous obstacle avoidance. The evaluation results indicate that the platform can achieve the functionality of virtual testing for the autonomous navigation performance of USVs from the perspective of cost function, taking the reaction distance, regression distance, and obstacle avoidance time into consideration. A representative example is that the cost function deviation rates of overtaking obstacle avoidance between static and dynamic seas reach 5.11%, 8.98% and 18.43%, respectively. The gradually increasing data shows that the virtual simulating method matches the drifting-off-course tendency of boats in rough seas. This includes acquiring perception information of navigation and simulating the motion and navigation processes for visualization. The platform provides new means for testing and evaluating the autonomous navigation performance of USVs.

AIS aided marine radar target tracking in a detection occluded environment

Radar signal occlusion due to islands and large ships occurs frequently in maritime environments, degrading the performance of marine radar target detection and tracking. In order to address the common track breakages and tracking inaccuracies during occlusion, both prior environment knowledge from electronic navigation chart (ENC) and information from automatic identification systems (AIS) are exploited. An AIS-aided integrated probabilistic data association (A-IPDA) algorithm is proposed for maritime target tracking in an occluded environment. It recursively identifies target occlusion based on environmental knowledge and applies a tailored track existence probability transition matrix for track existence estimation during occlusion, meanwhile rich AIS information is exploited to maintain target tracking performance. Experiments based on both simulated data and real data show that A-IPDA has the ability to counter long period target occlusion in complex maritime environments, where track continuity and tracking accuracy can be well maintained.

Use of technology among older adults in Baltic states during the Covid-19 pandemic

Abstract Background The population in the Baltic nations of Estonia, Latvia, and Lithuania is ageing rapidly. Technology is a potential resource in enhancing the health and wellbeing of the elderly. The use of technology reduces social isolation through the facilitation of communication and facilitates access to healthcare resources. This study is based on the theory of reasoned action that aims to explains the relationship between attitudes and behavior of individuals. Study Aim Determine nature of the use of technology by older adults in the Baltic states across countries, genders, age, and employment status. Methods Data from Wave 9, COVID-19 Survey 2 (Summer 2021) of the of the cross-national panel dataset of the Survey of Health, Ageing and Retirement in Europe (SHARE) were examined using a sample of 6303 adults over 50 years old from Latvia, Lithuania and Estonia. Analysis Nonparametric one-way ANOVA (Kruskal-Wallis test) was performed to test the null hypothesis that the rate of use of technology is equal across gender, age, and country in Baltic states. Findings There was a statistically significant difference in the use of technology reported by country [= 15.7, df = 2; p&amp;lt; .001], and age [= 1471.64, df = 6; p&amp;lt; .001. Conclusions These finding suggest that country and age are significant predictors of use of technology. Implications for Policy and Practice: Initiatives for the care of older adults should not only aim to increase the use of technology by older adults but also increase the utility of information and ease of navigation of websites targeted towards this population. Key messages • Country and age are significant predictors of use of technology among the elderly in Baltic states. • Policy initiatives that aim to alleviate social isolation among the elderly through use of technology, need to increase the ease of navigation of websites targeted towards this population.

Research on information construction of university management system app based on cognitive model

Based on the results of interviews conducted with university students in a certain university in Yunnan Province, this study identifies the problems of excessive information navigation, complex interface layout, and difficulty in locating the school system within the university management system APP. From the perspective of information architecture, this study designs a cognitive model that is suitable for the university management system APP of a certain university in Yunnan Province. By conducting tracking surveys and interviews with students from different majors, the study utilizes the affinity diagram method to construct a cognitive model for student users, which is further categorized by involving 10 participants. The data obtained after categorization is analyzed using hierarchical cluster analysis, and the information construction of the university management system APP is restructured accordingly. Through experiments, the characteristics and existing problems of the informationization construction of the university management system APP are determined, and the navigation label information of the management system is improved. The cognitive model of the university management system APP is reconstructed, resulting in the development of navigation names and classification methods for information construction that align with the cognitive models of student users. The research findings provide a basis and reference for other university management system APPs.

Components of navigation ability and their predictors in a community-dwelling sample of older adults.

Introduction: Navigation, as a complex skill important for independent living, requires a variety of cognitive processes. Current scales tapping components are lengthy and can be burdensome for older adults. Methods: Community-dwelling older adults (n = 380, age 60-90years) completed an online survey tapping wayfinding, being lost navigating, and needing help navigating. Participants then completed objective measures of navigation ability and self-reported memory ability. Cronbach's α was calculated for navigation subscales consisting of subsets of the Wayfinding Questionnaire and Santa Barbara Sense of Direction Questionnaire, and an exploratory factor analysis (EFA) was conducted. Regression analyses were used to test whether objective navigation, memory, and demographic information navigation predicted navigation subscale performance. Results: Each of the individual subscales demonstrated high reliability. EFA generated five unique factors: routing, mental mapping, navigation in near vicinities, feeling lost in far vicinities, and needing help in far vicinities. Across regression analyses, memory, gender, and performance on the Spatial Orientation Test were significant predictors. Discussion: Navigation is a multi-faceted construct that can be reliably measured using concise surveys. Further research is necessary to understand the intricacies of aging and navigation.

Risk analysis of bridge ship collision based on AIS data model and nonlinear finite element

Abstract To solve the problem of calculating the probability of ship collision in ship bridge collision risk assessment, the impact parameters of ship collision are obtained based on the automatic identification system (AIS) data to solve the problem that the existing methods do not consider the actual navigable ship information in a specific bridge navigation area. Based on AIS data, the dynamics of sailing ships are analyzed, parameters such as ship position, speed, and yaw angle, are obtained, ship traffic flow is analyzed, and the geometric probability in the actual ship traffic flow specification model is modified. The results before and after correction were compared and analyzed. The results show that the maximum transverse displacement of the anti-collision device is about 1.5 s under all working conditions, indicating that the collision force drops continuously from this moment to 0 in the collision force time history. In the process of collision, the anti-collision device absorbs part of the collision energy through its own deformation. Under the premise of a certain initial kinetic energy, the deformation caused by the collision energy absorption after fortification will be reduced. The anti-collision device has local permanent deformation under the impact of 5,000 t ship, but no damage and failure, and will not cause water entry and subsidence. It proves that the constructed fishery ship collision risk assessment model and the developed fishery ship safety management and evaluation system are reliable and the prediction results are credible, which can provide scientific methods for the safety management and evaluation of fishery vessels. For the bridge area with complicated ship navigation conditions, it is necessary to use the actual navigable ship information obtained based on AIS data to estimate the distribution of ships in the bridge area to improve the accuracy of the calculation results.