Number Of Accidents Research Articles

Analysis of road traffic accidents and casualties associated with electric bikes and bicycles in Guangzhou, China: A retrospective descriptive analysis

IntroductionElectric bicycles (e-bikes) and bicycles in large Chinese cities have recently witnessed substantial growth in ridership. According to related accident trends, this study analyzed characteristics and spatial distribution in the period when e-bike-related accidents rapidly increased to propose priority measures to reduce accident casualties. MethodsFor e-bike- and bicycle-related accident data from the Guangzhou Public Security Traffic Management Integrated System, linear regression was used to examine the trends in the number of accidents and age-adjusted road traffic casualties from 2011 to 2021. Then, for the period when e-bike-related accidents rapidly increased, descriptive statistics were computed regarding rider characteristics, illegal behaviors, road types, collision objects and their accident liability. One-way analysis of variance (ANOVA) followed by Bonferroni's multiple comparison test. P < 0.05 was considered statistically significant. Finally, the density distribution of accidents was presented, and Moran's I (MI) was used for assessing spatial autocorrelation. Hotspots were identified based on an optimized hotspot analysis tool. ResultsBetween 2011 and 2021, the number of accidents and casualty rate (per 100,000 population) increased for e-bikes but decreased for bicycles. After 2018, e-bike-related accidents increased rapidly, and bicycle-related accidents plateaued. Accident hotspots were concentrated in central city areas and suburban areas close to the former. Three-quarters of accidents occurred in motorized vehicle lanes. Most occurred on roads without physically segregated nonmotorized vehicle lanes. More than three-fifths of the accidents involved motor vehicles with at least four wheels. The prevalence (per 100 people) of casualties among e-bike rider victims and cyclist victims accounted for 92.0 % and 96.5 %, respectively. A total of 71.6 % of e-bike-related accidents involved migrant workers. Riding in motorized vehicle lanes was the most common illegal behavior. ConclusionsAlthough e-bike-related and bicycle-related accidents presented similar characteristics, the sharp increase in e-bike-related accidents requires attention. To improve e-bike safety, governments should develop appropriate countermeasures to prevent riders from riding on motorways, such as improving road infrastructure, adjusting the driver's license system and addressing priority control areas.

Risk Analysis and Visualization of Merchant and Fishing Vessel Collisions in Coastal Waters: A Case Study of Fujian Coastal Area

The invasion of ship domains stands out as a significant factor contributing to the risk of collisions during vessel navigation. However, there is a lack of research on the mechanisms underlying the collision risks specifically related to merchant and fishing vessels in coastal waters. This study proposes an assessment method for collision risks between merchant and fishing vessels in coastal waters and validates it through a comparative analysis through visualization. First of all, the operational status of fishing vessels is identified. Collaboratively working fishing vessels are treated as a unified entity, expanding their ship domain during operation to assess collision risks. Secondly, to quantify the collision risk between ships, a collision risk index (CRI) is proposed and visualized based on the severity of the collision risk. Finally, taking the high-risk area for merchant and fishing vessel collisions in the Minjiang River Estuary as an example, this paper conducts an analysis that involves classifying ship collision scenarios, extracts risk data under different collision scenarios, and visually analyzes areas prone to danger. The results indicate that this method effectively evaluates the severity of collision risk, and the identified high-risk areas resulting from the analysis are verified by the number of accidents that occurred in the most recent three years.

Presenteeism and Traffic Accident Among Taxi Drivers: A Prospective Cohort Study in Japan

BackgroundTraffic accidents involving professional drivers have serious societal repercussions. Unique occupational stressors and health risks exacerbate the likelihood of traffic accidents among professional drivers. This study explores the association between presenteeism—impaired work performance due to working while unwell—and traffic accident risk among professional taxi drivers in Japan. MethodsA prospective cohort study was conducted from June 2022 to February 2023, involving taxi drivers from a single company in Fukuoka Prefecture, Japan. Presenteeism was assessed using the Work Functioning Impairment Scale (WFun). Primary outcome involved the number of self-reported minor traffic accidents. The incidence rate ratio (IRR) of minor traffic accident occurrences was estimated using a Poisson regression analysis, adjusted for confounders including sex, age, and driving experience. ResultsOf 838 targeted drivers, 435 were included in the analysis. Higher baseline work functioning impairment was associated with a significant trend of increasing IRR of minor traffic accidents (p for trend = 0.045). A dose-response relationship was seen between the degree of presenteeism and incidence rate of minor traffic accidents. ConclusionHigher levels of presenteeism were associated with an increased risk of traffic accidents among taxi drivers. The findings underscore the need for socio-economic support and prioritized health management to mitigate traffic accident risk among professional drivers. This study highlights the importance of managing non-critical health issues alongside serious health conditions for safer driving practices among professional drivers in Japan.

Presentation of artificial neural network models based on optimum theories for predicting accident severity on rural roads in Iran

This study focuses on predicting the number and severity of rural accidents using nine accident-related variables by the multi-layer perceptron (MLP) approach as a type of artificial neural network modeling method. The models were developed using the input parameters of shoulder width, roadway width, roadside hazard, access density, passing zone ratio, speed limit, pavement condition index, shoulder rumble strips, and centerline rumble strips. MLP models were created based on accident data that occurred from 2019 to 2020 on the Tehran–Qom and Tehran-Saveh rural roads in Iran. In order to achieve the highest accuracy, twenty MLP models have been built with various structures. The MLP model, consisting of a multilayer feedforward network with hidden sigmoid and softmax output, has been used in this study. In this regard, an attempt was made to present an optimum theory to select the best model. The most accurate model was chosen based on the R-value and root mean square error (RMSE), mean absolute error (MAE), f, SD, and R2. Results indicated that the R-value obtained from the optimum model was 0.912, representing the accurate performance of the selected model. In addition, access density, roadside hazard, and roadway width were identified as the most significant variables.

Comparative Characteristics of Mortality of Children Due to Road Traffic Injuries in the Kyrgyz Republic

High death rates due to road accidents are characteristic of most countries of the world and the problem is global. The United Nations General Assembly has adopted an ambitious goal to halve the number of road traffic fatalities and injuries worldwide by 2030. In the Kyrgyz Republic, the number of traffic accidents increased from 5868 in 2016 to 7041 cases in 2022. In the dynamics of road accidents in the regions of the republic, an increase trend in 2019-2020 was revealed, which was replaced by a decrease in 2022, with the exception of the city of Bishkek with a sharp increase of +70.2%. Regions with a high frequency of road accidents were Chui, Issyk-Kul regions and the cities of Bishkek and Osh. Starting from 2018, 2019 and 2021, with road accidents due to the fault of the driver, injuries to children increased, especially in 2021 in all regions of the republic. In 2022, injuries decreased, only in the Batken, Naryn and Chui regions there was an increase. By region, Batken, Talas, Jalal-Abad and Issyk-Kul regions prevail. The highest rates of increase in mortality of children in road accidents due to the fault of the driver were observed in 2019-2022. Regions with a high mortality rate of children in traffic accidents due to the fault of the driver include the Chui, Talas, Naryn and Issyk-Kul regions. It is necessary in road safety policy to ensure a holistic (systemic) approach to solving the problem of reducing road traffic injuries and mortality.

Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data

In order to prevent and/or forecast road accidents, the statistical modeling of spatial dependence and potential risk factors is a major asset. The main goal of this article is to predict the number of accidents on a certain area by considering georeferenced accident locations crossed with variables characterizing the studied geographical area such as road characteristics as well as sociodemographic and global infrastructure variables. We model the accident point pattern by a spatial log-Gaussian Cox process (LGCP). To reduce the computation burden of LGCP models in this high-dimensional setting, we suggest a two-step procedure: to perform first automatic variable selection methods based on Poisson regression, Poisson aggregation and random forest and in a second step, to use the selected variables and perform LGCP model analysis. The dataset consists in road accidents occurred between 2017 and 2019 in the CAGB (urban community of Besançon), France. Based on LGCP analysis, we are able to identify the principal risk factors of road accidents and risky areas from CAGB region.

Spatial-temporal and trend analysis of traffic accidents in AP Vojvodina (North Serbia)

Abstract The objective of this study is to analyse the spatial-temporal patterns of traffic accidents using data from 2011 to 2020 for the AP Vojvodina. The spatial-temporal patterns of traffic accident hotspots were identified at the municipality level using the Getis–Ord G i ⁎ {G}_{i}^{\ast } statistic in ArcGIS Pro software. Trends in traffic accidents were analysed using the Mann-Kendall (MK) statistic. A certain trend in the number of traffic accidents, fatalities, and injuries was detected in 15 out of 45 municipalities. In two municipalities, the trend in the number of traffic accidents is decreasing, while in seven, it is increasing. In three municipalities, a decreasing trend in the number of traffic fatalities was observed. A decreasing trend in traffic injuries was identified in five municipalities. Hotspot analysis on the number of traffic accidents and traffic injuries revealed hotspots in seven municipalities, while no hotspots were detected in the number of traffic fatalities. In the traffic casualties weighted number, persons in tractors, hotspots were identified in two municipalities. This research has the potential to enhance traffic safety by directing targeted safety measures towards identified hotspots. Such measures could ultimately lead to a reduction in traffic accidents, consequently curbing the number of both fatalities and injuries.

Analysis of the elderly pedestrian traffic accidents in urban scenarios: the case of the Spanish municipalities

As the elderly population grows, there is a greater concern for their safety on the roads. This is particularly important for elderly pedestrians who are more vulnerable to accidents. In Spain, one of the most aged countries in the world, the elderly accounted for 70% of all pedestrian deaths in 2019. In this study, the focus was on analysing the occurrence of elderly pedestrian-vehicle collisions in Spanish municipalities and how it is related to the built environment. The study used the hurdle negative binomial model to analyse the number of elderly and non-elderly pedestrian accidents per municipality in 2016-2019. The exploratory analysis showed that cities above 50,000 inhabitants were safer for the elderly, and larger provincial capitals had lower elderly pedestrian traffic accident rates. The occurrence of all pedestrian traffic accidents was linked to the socio-demographic features. For elderly pedestrians, land use was found to be influential, with a lower proportion of land covered by manufacturing and service activities linked to a smaller number of accidents. Results showed that improving road safety for older pedestrians may not necessarily compromise the situation for the rest of population. Hence, policymakers should focus on infrastructure improvements adapted to the needs of elderly pedestrians.

Strategies for Enhancing Traffic Safety among Adolescent and Adult Motorcycle Riders in Indonesia

This research places emphasis on strategies for enhancing traffic safety among adolescent and adult motorcycle riders. 87.36% of accidents in Indonesia involved motorcycle riders and approximately 25% of these accidents involve underage riders. Therefore, a reasonable solution is needed to reduce the number of accidents in Indonesia. The criteria for respondents in this study were adolescent and adult motorcycle riders. The respondents were interviewed for approximately 10 minutes. The total sample amounted to 530 respondents. The research was conducted in Riau province, Indonesia. The research results indicate that adolescent riders are about 4 times more likely to experience accidents compared to adult riders. Model validation demonstrates an accuracy level of up to 89% for the obtained model. The findings of this research suggest strategies for enhancing the safety of both adolescent and adult motorcycle riders, including advising riders to drive their motorcycles in good stamina and performance, advising riders to rest when fatigued, advising riders not to ride between 12:00 AM and 06:00 AM, enforcing strict measures by law enforcement to apprehend riders without a valid driving license, exercising caution when crossing straight roads and roads with non-variable roadside variability. Another finding from this research is that the model in this research took 3 factor types into consideration that cause accidents including human factors, road and environmental factors and vehicle factor. Then, these factors are modeled simultaneously. Keywords: Adolescent, Adult, Motorcycle, Riders, Safety, Strategies.

РОЛЬ ОХРАНЫ ТРУДА В УВЕЛИЧЕНИИ ПРОИЗВОДИТЕЛЬНОСТИ И ЭКОНОМИЧЕСКОЙ ЭФФЕКТИВНОСТИ

This article examines the impact of labor protection on the productivity and economic efficiency of enterprises. Occupational safety plays a key role in ensuring the safety and health of workers, but its impact on business processes is often underestimated. The article discusses the mechanisms through which labor protection helps increase productivity and reduce economic losses in enterprises. Key aspects include reducing the number of accidents, reducing time losses associated with injuries and illnesses, and reducing insurance premiums and wasted resources for treatment and rehabilitation. In conclusion, it is noted that labor protection not only ensures the safety of workers, but is also an important factor in increasing the competitiveness and sustainability of enterprises.

Trend differences in cervical spinal cord injuries before and after the coronavirus disease 2019 pandemic.

Cross-Sectional Study. To investigate the changes in the characteristics of cervical spinal cord injuries (CSCI) before and after the coronavirus disease 2019 (COVID-19) pandemic among patients transported to our hospital in Japan. Hospital with an emergency center in Chiba, Japan. Patients eligible for the study were those transported within 24 h of injury and diagnosed with cervical spinal cord injury between January 2018 and December 2021 at our hospital. Medical records were retrospectively examined to investigate the number and characteristics of patients with CSCI. The clinical variables of patients with CSCI were compared according to the time of admission as related to the COVID-19 pandemic: 2018-19 (before) or 2020-21 (after). The total number of patients with CSCI from 2018 to 2021 was 108, with 57 before the COVID-19 pandemic and 51 after the COVID-19 pandemic. The number of severe cases with an injury severity score (ISS) of >16 decreased after COVID-19 (p < 0.05). Falls on level surfaces were the most common cause of injury both before and after COVID-19. Although the ranking of traffic accidents decreased after COVID-19, among those, the number of bicycle injuries tended to increase. The number of serious cases with an ISS > 16 decreased, presumably because of the decline in high-energy trauma due to the background decrease in the number of traffic accidents.

Assessing Psychosocial Factors on Maintenance Employees with Safety Perspective: A Case Study of an Electrical Service Company

The increasing number of employees continuously exposed to psychosocial hazards can result in high absenteeism, employee turnover, low productivity, and increased work accidents. Efforts to improve occupational safety have typically focused on developing policies, equipment, and training to minimize physical risks; however, in recent years, attention has also shifted to psychosocial factors. This research was conducted to comprehensively analyze the psychosocial conditions of maintenance workers from electrical service companies in Indonesia. An online survey with 93 questions from COPSOQ III was conducted on 314 respondents who had worked for at least one year and were permanent employees at company X. The collected data will be tested for validity and reliability before being analyzed using descriptive statistics with the help of SPSS V25 software. It will then be classified by level using the gap analysis method. It was found that there were six psychosocial factors included in the mid-gap category, namely Cognitive Demands (X9), Work Pace (X12), Illegimate Task (X25), Role Conflict (X26), Work-Life Conflict (X31), and Insecurity over Working Condition (X32). Meanwhile, two psychosocial factors fall into the high-gap category, namely Control over Working Time (X17) and Job Insecurity (X33). Psychosocial factors in the high-gap category need to be a priority for improvement or intervention, considering that these factors can have a negative impact on work safety behavior, which can increase the number of work accidents.

Enhancing Safety Management in UAE Construction Sites through Site Manager Performance Evaluation

The construction industry is one of the most high-risk domains, having the highest number of occupational accidents compared to other industries globally. One of the main reasons for worker injuries and deaths is the site managers’ unsafe behaviour on the construction sites, which creates an environment that normalizes further unsafe acts and leads to the personnel's inability to recognize and identify various hazards within the construction site. This research aims to investigate and evaluate the site manager's contribution towards safety through specific indicators that include their safety-oriented performance, provision of safety equipment, and conduction of safety training. Data was collected from the workers and managers on construction sites through a comprehensive survey that constituted the three main mentioned indicators. The surveyed sample included 174 participants from different construction organizations across the UAE. The data was then analyzed using the 3-way ANOVA technique to study the relationship between the named three variables. Monte Carlo Simulation was used to study the uncertainty and variability of the interactions of the three factors in the construction site. The obtained results showed that the three factors were all statistically significant, indicating that the three independent variables had a positive effect on the safety score of the site manager. The interaction effect between the safety-oriented performance &amp; provision of safety equipment was significant indicating that there was a combined effect between them on the safety score. A set of recommendations are provided to ensure more safety methods are implemented across the entire UAE construction sector.

CHANGE IN THE NUMBER OF TRAFFIC ACCIDENTS IN THE LVIV REGION DURING 2019–2023

Current trends in the development and modernisation of transportation systems focus on safety. However, it is worth conducting an in-depth analysis of data related to traffic safety factors to maximise the safety emphasis in future strategies. This approach concentrates the efforts of engineers and scientists primarily on combating the causes of road accidents rather than their consequences, as is often the case today. The object of research in this article is the street and road network of Lviv region, as it is necessary to take into account the regional aspects of traffic and their differences in the country’s regions, given the density of streets and roads, climatic and hydrometeorological conditions, as well as the typology of roads. One of the scientific problems that the study’s results can partially solve is to identify time patterns and dynamics of changes in the number of road accidents in the Lviv region and compare the results with the targets set out in strategic documents in the field of road safety in Ukraine. The article analyses the data on the number of road traffic accidents in the region from 2019 to 2023. At the same time, it carries out the statistical distribution of traffic accidents by the causes of their occurrence. We also account for the time aspect – a breakdown by time of day and days of the week, including the general trend over the past years. We established that the dynamics of the number and severity of road accidents for the period under consideration is negative; however, the patterns of their occurrence persist, which explains the positive statistical result obtained due to quantitative but not qualitative factors affecting traffic safety. The results obtained are of more value from an engineering and scientific point of view, particularly in comparison with traffic accident statistics disseminated on information resources or social media. The analysis conducted in this article allows us to identify problematic areas in the functioning of both the bodies that ensure the safety and organisation of road traffic and transport systems. Keywords: road safety, road traffic accident, accident rate, transport systems.

Smart Traffic Surveillance: Identifying Helmet-Less Riders and License Plate Recognition with YOLO and OCR Integration using Deep Learning

Currently, there are a number of issues with Indian traffic laws that can be resolved in a variety of ways. Riding a motorbike without a helmet is against the law and has increased the number of accidents in India. The current method mostly uses CCTV records to monitor traffic offences. When a rider is not wearing a helmet, traffic officers must zoom in on the licence plate and look into the frame where the infraction is occurring. However, because there are more and more traffic infractions and motorcycle ridership every day, this will take a lot of labour and time. What if there was a technology that would automatically search for traffic violations such as riding a motorbike without a helmet? hence, would automatically retrieve the number plate number of the bike. This study has been effectively completed by recent research using KNN, DNN-Classifier, etc. However, there are limitations to these works in terms of speed, accuracy, or efficiency in object identification and classification. The goal of this research project is to develop a non- helmet rider detection system that can automatically identify and retrieve a vehicle's number plate number when a driver fails to wear a helmet. Three-level Deep Learning for Object Detection is the key idea at play here. The items found are a human, a motorcycle at level one using YOLO, a helmet at level two using YOLO, Licence plate at the last level using YOLO. Next, OCR is used to obtain the number plate registration number. All of these methods—especially the section where the number plate number is extracted—are subject to predetermined limitations and conditions. Because video is the work's input, speed of execution is essential. We have developed a comprehensive algorithm for both number plate number extraction and helmet detection using the above-mentioned approaches.

Sustainable Measurement of Mental and Physical Workloads of Transjakarta Bus Drivers

The number of accidents in the Transjakarta mode of transportation is increasing from year to year. Accidents can occur dueto the driver’s workload which is not ideal so that it affects the driver’s negligence while driving. Therefore, this study aims to investigate the workload experienced by Transjakarta bus drivers using a comprehensive approach that includes questionnaires, pulse measurement, and analytical methods such as NASA-TLX, Cardiovascular Load, Correlation Test. The process of collecting data using the NASA Task Load Index method involving 30 samples of Transjakarta bus drivers was used which was divided into two stages, namely Paired Comparison and Event Scoring. The Cardiovascular Load method was used from calculating the Max Pulse Rate data, calculating %CVL which ends with identifying the results of the average %CVL. The result shows by using the NASA-TLX (mental load) and Cardiovascular Load - CVL (physical load) analysis methods was be used as a source of data that was go through acorrelation test and tested using Minitab software. The results obtained from the NASA-TLX method show that the mental load was quite high with an average value of 70.8%. The CVL result shows that the highest percentage of fatigue level was achieved at value of 27.59%. In addition, Correlation Test Results of %CVL and WWL showed that the correlation between %CVL and WWL was achieved at value of -0.197 and the P-Value was 0.296. It is found that the results of an inverse relationship were found between %CVL and WWL.

Research on Family Sex Education of Chinese College Students Based on System Ecology Theory

The enlightenment and development of family sex education is very important for students, and college students have better protection to avoid a high number of sexual accidents. To prove the importance of enlightenment and development of family sex education, this paper accesses to proper method and attitude to spread sex education in the microsystem of system ecology theory, that is sex education in the family. A comprehensive study was conducted by analyzing a series of papers from the perspective of system ecology theory. Many sexual defects lead to a high number of accidents in college students, but also physical injuries and psychological trauma. Sex education is analyzed in terms of the family as the smallest unit in system ecology because the family should be the unit that initially enlightens sex education. The shortcomings of sex education in China are one of the most serious problems in education. It is clear to recognize the present situation of family sex education which is also regarded as a microsystem in the concept of system ecology, such as the influence of parents’ sexual concepts and parents' educational level. Suggestions for family sex education are necessary to be carried out. Chinese college students lack enlightenment and development of sex education, especially family sex education, the smallest sex education development unit. Therefore, parents should be allowed to establish the concept of correctness and cultivate their ability to sex education at the same time. Sex knowledge in the social publicity should also cooperate with family sex education.

IJCM_49A: Mortality trends of road traffic accidents due to human errors in Chhattisgarh and India (2016-2022)

Background: Road safety continues to be a major developmental issue, a public health concern and a leading cause of death and injury affecting not only the victims and their family but also the economy as a whole in terms of untimely deaths, disabilities and loss of potential income. India ranks 2nd in the number of road accidents and 1st in mortality due to RTA in the world. Road accidents are multi-causal due to interplay of various factors. These can be broadly categorized into those relating to (a) Human error (b) Road condition/ environment (c) Vehicle condition. Human errors for RTA include non-compliance to traffic rules and not using helmets and seatbelts, resulting in mortalities which can be mitigated by proper education, adherence and implementation of traffic rules. Objective: To analyze the mortality trends due to RTA by human errors in Chhattisgarh and India 2016-2022 Methodology: The RTA mortality statistics were retrieved from the Road accidents in India report published annually by the Ministry of Road Transport and Highways. A literature search was done in electronic databases like-PubMed, Google Scholar, other platforms using keywords- RTA mortality, Distracted driving Results: From 2016 to 2022, both Chhattisgarh and India experienced a steady rise in fatalities, peaking in 2022 due to overspeeding and helmet non-compliance. In 2019, India saw its peak in fatalities from alcohol-related driving, mobile use, and signal jumping, followed by a decline. Chhattisgarh experienced the highest signal jumping fatalities in 2017 and alcohol-relatedriving deaths in 2018 compared to other years Conclusion: The study reveals a decrease in road traffic accident fatalities caused by certain human errors post-2019, credited to the adoption of the Motor Vehicle Amendment Act 2019. Boosting public awareness and establishing robust surveillance measures are imperative in curbing fatalities caused by road traffic accidents (RTAs)

Real-time risk assessment of multi-parameter induced fall accidents at construction sites

In this research, a risk assessment model was developed that concurrently considers the location and physiological risk factors for fall accidents in workers at construction sites. In terms of location risk, data on 1683 occupational fall accidents involving 1718 worker casualties in the construction industry were collected for the period 1996–2016 from the Institute of Labor, Occupational Safety and Health (ILOSH), Taiwan. Next, the locations of these fall accidents were identified and defined as hazardous areas, with each area assigned a fall-risk level based on the average number of occupational accidents per year. In terms of physiological risk, the thermal hazard evaluation model, Recommended Alert Limits/Recommended Exposure Limits (RALs/RELs), developed by the National Institute for Occupational Safety and Health (NIOSH), USA was used in this study. This model uses metabolic heat and wet bulb globe temperature (WBGT) to recommend hourly rest/work times for workers. Using WBGT and one hour as the basic unit of time, varying degrees of metabolic heat, defined as metabolic heat loading severity (MHLS), were obtained. An optical heart rate (HR) sensor was applied in this study to measure HR, which was subsequently converted to a metabolic heat value using the Malchaire J metabolic heat evaluation model. Next, metabolic heat loading risk level was evaluated based on the MHLS. Finally, the location-based fall-risk level was multiplied by the MHLS, generating a risk evaluation model for fall accidents. The evaluation results identify the real-time fall-risk level of each worker and, if needed, suggest actions to be taken to mitigate the elevated risks of fall accidents identified by the model.

Functional outcome of distraction osteogenesis in infected nonunion of the tibia

Abstract Background: The tibia is a bone located beneath the skin. Open fractures of the tibia, which involve significant soft tissue damage and bone loss, pose a challenge for trauma surgeons. The prevalence of long bone fractures is on the rise, attributed to the escalating number of road traffic accidents and other household mishaps, resulting in an increased occurrence of nonunion cases. Consequently, this study aims to evaluate the healing rates in long bone nonunion fractures and examine the complications associated with the treatment device. Managing infected tibial nonunions remains a formidable task for orthopedic surgeons. Materials and Methods: A retrospective study was conducted on 30 patients diagnosed with infected nonunion of tibial fractures treated with limb reconstruction systems (LRSs) in the Department of Orthopaedics at Vinayaka Missions Kirupananda Variyar Medical College and Hospital, Salem, Tamil Nadu, India. Inclusion criteria comprised patients aged between 20 and 55 years with tibial fractures failing to unite within 6 months, radiological evidence of nonunion, willingness to provide written informed consent and suitability for surgery. Results: The results revealed that most patients fell within the age group of 40–50 years, with an average age of 40.9 years in our study. Out of 30 patients, 17 were male and 13 were female. Regarding bony results, 20 patients (66.7%) exhibited excellent outcomes, 6 patients (20%) showed good results, 3 patients (10%) had fair outcomes, and 1 patient (3.3%) had poor outcomes. Functional outcomes showed that 20 patients (66.7%) experienced excellent results, 6 patients (20%) showed good outcomes, 3 patients (10%) had fair outcomes, and 1 patient (3.3%) had poor outcomes. Conclusion: This study concludes that the LRS fixator facilitates early ambulation, reducing the risk of osteoporosis, and soft tissue dystrophy. The average union time was 4 months, influenced by comminution, infection, nonunion type, smoking, and fracture pattern.