Layth Abdulaleem Mahmood, Hamid Adrees Al-Khashab, Anas Fakhry Qassid
The pumps of high lift station consume a high magnitude of power to deliver the water supply to the community consumers, therefore it necessary to looking for means that help to reduce this consumption. The service pipe is an important part of water supply network but it is usually ignored in network analysis. The research focuses on the investigating the effects of this pipe on annual power consumption of pump station. The proposed model is constructed using EPAnet software and different values of diameter and C-coefficient are studied. Moreover, the effect of demand allocation is also studied. The results indicated that the increasing in diameter or in C-coefficient cause decreasing of annual power consumption. The application of demand allocation gives power consumption values less than that for no demand allocation application case. The statistical model showed the significance relationship among power consumption and service pipe properties, and showed that the effect of C-coefficient is higher than the effect of diameter.
高扬程站的水泵向社区用户供水需要消耗大量的电力，因此有必要寻找有助于减少这种消耗的方法。供水管道是供水管网的重要组成部分，但在管网分析中通常被忽略。本研究的重点是调查该管道对泵站年耗电量的影响。使用 EPAnet 软件构建了拟议模型，并研究了不同的直径值和 C 系数。此外，还研究了需求分配的影响。结果表明，直径或 C 系数的增加会导致年耗电量的减少。采用需求分配后，耗电量值低于不采用需求分配的情况。统计模型显示了耗电量与服务管道属性之间的显著关系，并表明 C 系数的影响大于直径的影响。
{"title":"EFFECT OF SERVICE LINE ON THE AVERAGE ENERGY CONSUMPTION OF WATER SUPPLY PUMPING STATION","authors":"Layth Abdulaleem Mahmood, Hamid Adrees Al-Khashab, Anas Fakhry Qassid","doi":"10.5937/jaes0-47177","DOIUrl":"https://doi.org/10.5937/jaes0-47177","url":null,"abstract":"The pumps of high lift station consume a high magnitude of power to deliver the water supply to the community consumers, therefore it necessary to looking for means that help to reduce this consumption. The service pipe is an important part of water supply network but it is usually ignored in network analysis. The research focuses on the investigating the effects of this pipe on annual power consumption of pump station. The proposed model is constructed using EPAnet software and different values of diameter and C-coefficient are studied. Moreover, the effect of demand allocation is also studied. The results indicated that the increasing in diameter or in C-coefficient cause decreasing of annual power consumption. The application of demand allocation gives power consumption values less than that for no demand allocation application case. The statistical model showed the significance relationship among power consumption and service pipe properties, and showed that the effect of C-coefficient is higher than the effect of diameter. ","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140257168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dry turning is an effective method for reducing the production costs and environmental impact of machining processes. In this study, the effect of cutting speed (Vc), feed rate (fz), and depth of cut (ap) on the surface roughness (Ra) and material removal rate (MRR) of 9XC steel during dry turning was investigated. A Box-Behnken experimental design was employed to analyze the main effects and interaction effects of these cutting parameters. In this research, the combining Response Surface Methodology - Desirability Approach (RSM-DA) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method were both employed for solving multiple objective optimization problems, and their performance was compared. The results from both methods can be assessed based on their ability to identify the optimal set of parameters that simultaneously optimize surface quality and production rate, as well as their computational efficiency and ease of implementation. Both RSM-DA and VIKOR have been found effective for solving multi-objective optimization problems, such as optimizing cutting parameters in dry turning. While RSM-DA is a statistical tool that combines multiple objectives into a single function, VIKOR is a decision-making method that ranks alternatives based on multiple criteria. The choice of which method to use depends on the specific requirements of the problem and the availability of resources for implementation. The research results show that both VIKOR and RSM-DA are suitable for solving the multi-objective optimization problem of the turning process. According to the VIKOR method, the optimum cutting conditions were found to be a cutting speed Vc of 120 m/min, a depth of cut ap of 0.1 mm a feed rate fz of 0.06 mm/rev, and, which resulted in a surface roughness of 0.209 um and a material removal rate of 0.72 cm3/min. Meanwhile, RSM-DA predicts the optimal Ra and MRR values of 0.254 um and 3.36 cm3/min, respectively; corresponding to the Vc of 180m/min, fz of 0.06mm/rev and ap of 0.3mm; That means, the increasing the value of surface roughness by 21.5% will increase the MRR by 366.7%. The findings of this study can provide guidance for selecting the appropriate cutting parameters for dry turning of 9XC steel to achieve desired surface roughness Ra and material removal rate MRR in the specific case.
{"title":"USING VIKOR AND RSM-DA IN THE OPTIMIZATION OF DRY TURNING OF 9XC STEEL","authors":"Nhat Tan Nguyen, Anh Thang Nguyen, Tien Sy Nguyen","doi":"10.5937/jaes0-43392","DOIUrl":"https://doi.org/10.5937/jaes0-43392","url":null,"abstract":"Dry turning is an effective method for reducing the production costs and environmental impact of machining processes. In this study, the effect of cutting speed (Vc), feed rate (fz), and depth of cut (ap) on the surface roughness (Ra) and material removal rate (MRR) of 9XC steel during dry turning was investigated. A Box-Behnken experimental design was employed to analyze the main effects and interaction effects of these cutting parameters. In this research, the combining Response Surface Methodology - Desirability Approach (RSM-DA) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method were both employed for solving multiple objective optimization problems, and their performance was compared. The results from both methods can be assessed based on their ability to identify the optimal set of parameters that simultaneously optimize surface quality and production rate, as well as their computational efficiency and ease of implementation. Both RSM-DA and VIKOR have been found effective for solving multi-objective optimization problems, such as optimizing cutting parameters in dry turning. While RSM-DA is a statistical tool that combines multiple objectives into a single function, VIKOR is a decision-making method that ranks alternatives based on multiple criteria. The choice of which method to use depends on the specific requirements of the problem and the availability of resources for implementation. The research results show that both VIKOR and RSM-DA are suitable for solving the multi-objective optimization problem of the turning process. According to the VIKOR method, the optimum cutting conditions were found to be a cutting speed Vc of 120 m/min, a depth of cut ap of 0.1 mm a feed rate fz of 0.06 mm/rev, and, which resulted in a surface roughness of 0.209 um and a material removal rate of 0.72 cm3/min. Meanwhile, RSM-DA predicts the optimal Ra and MRR values of 0.254 um and 3.36 cm3/min, respectively; corresponding to the Vc of 180m/min, fz of 0.06mm/rev and ap of 0.3mm; That means, the increasing the value of surface roughness by 21.5% will increase the MRR by 366.7%. The findings of this study can provide guidance for selecting the appropriate cutting parameters for dry turning of 9XC steel to achieve desired surface roughness Ra and material removal rate MRR in the specific case.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140080960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Subraya Krishna Bhat, Shreyas D Sai, Gowri Shankar M C, D. Doreswamy
Wire-electric discharge machining (W-EDM) is an advanced technology used for machining hard-to-cut materials with high hardness. Therefore, it is critical to characterize and model the Wire-ED machining performance for new materials having remarkable mechanical properties with respect to the multiple control parameters involved in the process. In this light, the present study investigates the multi-parametric optimization of current, pulse-on time (Ton), and pulse-off time (Toff) on material removal rate (MRR), kerf width (KW), surface roughness (Ra) for Wire-EDM of artificially aged Al6061/B4C composite using response surface method (RSM) and grey relational analysis (GRA). The results of the investigation revealed that, Toff has the most significant impact on the multi-parametric response, with a percentage-wise contribution of 38% from the analysis of variance. The optimization results established that a multi-parametric combination of current – 6 A, Ton – 42.5253 µs, and Toff – 10 µs achieved the optimum response of MRR – 1.7036 mg/min, KW – 0.1727 mm, and Ra – 5.6525 µm. The results obtained herewith have practical relevance to Wire-EDM industry for manufacturing applications.
{"title":"MULTI-PARAMETRIC OPTIMIZATION OF WIRE-EDM MACHINING ON ARTIFICIALLY-AGED AL6061/B4C COMPOSITE USING RSM AND GREY RELATIONAL ANALYSIS","authors":"Subraya Krishna Bhat, Shreyas D Sai, Gowri Shankar M C, D. Doreswamy","doi":"10.5937/jaes0-44452","DOIUrl":"https://doi.org/10.5937/jaes0-44452","url":null,"abstract":"Wire-electric discharge machining (W-EDM) is an advanced technology used for machining hard-to-cut materials with high hardness. Therefore, it is critical to characterize and model the Wire-ED machining performance for new materials having remarkable mechanical properties with respect to the multiple control parameters involved in the process. In this light, the present study investigates the multi-parametric optimization of current, pulse-on time (Ton), and pulse-off time (Toff) on material removal rate (MRR), kerf width (KW), surface roughness (Ra) for Wire-EDM of artificially aged Al6061/B4C composite using response surface method (RSM) and grey relational analysis (GRA). The results of the investigation revealed that, Toff has the most significant impact on the multi-parametric response, with a percentage-wise contribution of 38% from the analysis of variance. The optimization results established that a multi-parametric combination of current – 6 A, Ton – 42.5253 µs, and Toff – 10 µs achieved the optimum response of MRR – 1.7036 mg/min, KW – 0.1727 mm, and Ra – 5.6525 µm. The results obtained herewith have practical relevance to Wire-EDM industry for manufacturing applications.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138973274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Igor Petukhov, L. Steshina, P. Kurasov, Yuri Andrianov
The paper analyzes factors that affect human productivity when operating logging machinery. It assesses how training machines and simulators influence the results of training. The paper further describes novel methods for testing the psychophysiological traits of human beings that enable evaluating the precision of guiding the implement of the logging machine in horizontal plane as well as by boom extension. The results of testing a group of cadets are presented herein. The research team found the boundaries of the test results obtained by the author-developed methods as compared against the results of final examinations held to complete the logging machinery operation training. The paper will be of interest for human- machine interaction and logging machine training specialists.
{"title":"ANALYSIS OF FACTORS INFLUENCING THE PERFORMANCE OF CADETS TRAINED TO OPERATE LOGGING MACHINERY","authors":"Igor Petukhov, L. Steshina, P. Kurasov, Yuri Andrianov","doi":"10.5937/jaes0-44511","DOIUrl":"https://doi.org/10.5937/jaes0-44511","url":null,"abstract":"The paper analyzes factors that affect human productivity when operating logging machinery. It assesses how training machines and simulators influence the results of training. The paper further describes novel methods for testing the psychophysiological traits of human beings that enable evaluating the precision of guiding the implement of the logging machine in horizontal plane as well as by boom extension. The results of testing a group of cadets are presented herein. The research team found the boundaries of the test results obtained by the author-developed methods as compared against the results of final examinations held to complete the logging machinery operation training. The paper will be of interest for human- machine interaction and logging machine training specialists.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139007188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this work, the tool rotational speed (T), dielectric pressure (W), feed rate (F), and voltage (V) of the electrical discharge drilling (EDD) operation are optimized to decrease the extension of the drilled hole (EH) and improve the material removal rate (MRR). The Kriging models were utilized to present performance measures, while the Entropy approach and improved quantum-behaved particle swarm optimization algorithm (IQPSO) algorithm were employed to compute the weights and determine optimal factors. The findings presented that the optimal T, W, F, and V are 550 rpm, 36 kg/cm2, 30 µm/s, and 70 V, respectively. The EH is reduced by 33.0%, while the MRR is enhanced by 39.4%, as compared to the common values. The Kriging models provided acceptable accuracy for the prediction purpose. The V and F had significant impacts on the EH and MRR. The optimal data could be utilized to enhance the performance measures for the practical EDD process. The method comprising the Kriging, Entropy, and IQPSO was a prominent solution to deal with complicated optimization issues for the EDD operation.
{"title":"MULTI-RESPONSE OPTIMIZATION OF THE ELECTRICAL DISCHARGE DRILLING OPERATION: A TRADE-OFF RELATION BETWEEN THE QUALITY AND EFFICIENCY","authors":"Tat Khoa Doan, A. Văn, T. Nguyen","doi":"10.5937/jaes0-46706","DOIUrl":"https://doi.org/10.5937/jaes0-46706","url":null,"abstract":"In this work, the tool rotational speed (T), dielectric pressure (W), feed rate (F), and voltage (V) of the electrical discharge drilling (EDD) operation are optimized to decrease the extension of the drilled hole (EH) and improve the material removal rate (MRR). The Kriging models were utilized to present performance measures, while the Entropy approach and improved quantum-behaved particle swarm optimization algorithm (IQPSO) algorithm were employed to compute the weights and determine optimal factors. The findings presented that the optimal T, W, F, and V are 550 rpm, 36 kg/cm2, 30 µm/s, and 70 V, respectively. The EH is reduced by 33.0%, while the MRR is enhanced by 39.4%, as compared to the common values. The Kriging models provided acceptable accuracy for the prediction purpose. The V and F had significant impacts on the EH and MRR. The optimal data could be utilized to enhance the performance measures for the practical EDD process. The method comprising the Kriging, Entropy, and IQPSO was a prominent solution to deal with complicated optimization issues for the EDD operation. ","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139011496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Egenberdi Moldaliev, Kalmamat Atabekov, Kunduz Mambetalieva, Irina Troyanovskaya, Sergey Voinash, R. Zagidullin, L. Sabitov
Mountain roads in Kyrgyzstan are characterized a large difference in altitude above sea level. Above 2,000 meters above sea level, drivers develop symptoms of altitude sickness. The aim of the study is to study the effect of atmospheric pressure on the body of a vehicle driver in mountainous conditions. The Bishkek-Naryn-Torugart international highway was chosen as an object. Control point No. 1 is located on the Torugart pass near the border with China (altitude is 3752 meters above sea level). Checkpoint No. 2 is located near the village of At-Bashy (altitude above sea level is 2046 meters). Control point No. 3 is located near the village of Kemin (altitude 1120 meters above sea level). The results of the study showed that blood pressure indicators change along the considered route depending on the height above sea level. For example, pressure indicators of 140-159 / 90-99 were observed in 24% of drivers at point No. 1, 19% at point No. 2 and only 5% at point No. 3. Blood pressure 160-179 / 100-109 (moderate hypertension) was observed in 7% of drivers in point 1 and in 5% of drivers in point 2. The main reason for the increase in pressure was a violation of the mode of work and rest of drivers. As a result, standards for the work of drivers of international road transport in high altitude conditions were developed and measures were proposed for the mandatory organization of rest places for drivers on the Bishkek-Naryn-Torugart road.
{"title":"ORGANIZING THE REGIME OF WORK AND REST OF DRIVERS ON MOUNTAIN ROADS","authors":"Egenberdi Moldaliev, Kalmamat Atabekov, Kunduz Mambetalieva, Irina Troyanovskaya, Sergey Voinash, R. Zagidullin, L. Sabitov","doi":"10.5937/jaes0-45325","DOIUrl":"https://doi.org/10.5937/jaes0-45325","url":null,"abstract":"Mountain roads in Kyrgyzstan are characterized a large difference in altitude above sea level. Above 2,000 meters above sea level, drivers develop symptoms of altitude sickness. The aim of the study is to study the effect of atmospheric pressure on the body of a vehicle driver in mountainous conditions. The Bishkek-Naryn-Torugart international highway was chosen as an object. Control point No. 1 is located on the Torugart pass near the border with China (altitude is 3752 meters above sea level). Checkpoint No. 2 is located near the village of At-Bashy (altitude above sea level is 2046 meters). Control point No. 3 is located near the village of Kemin (altitude 1120 meters above sea level). The results of the study showed that blood pressure indicators change along the considered route depending on the height above sea level. For example, pressure indicators of 140-159 / 90-99 were observed in 24% of drivers at point No. 1, 19% at point No. 2 and only 5% at point No. 3. Blood pressure 160-179 / 100-109 (moderate hypertension) was observed in 7% of drivers in point 1 and in 5% of drivers in point 2. The main reason for the increase in pressure was a violation of the mode of work and rest of drivers. As a result, standards for the work of drivers of international road transport in high altitude conditions were developed and measures were proposed for the mandatory organization of rest places for drivers on the Bishkek-Naryn-Torugart road.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138591784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fauzun Fauzun, Cahyo Wibi Yogiswara, H. M. Ariyadi, Muhammad Salim Taufiqurrahman, Aldy Franstanata Ritonga, Indro Pranoto, Rendianto Aginta Garingging, Fakhreza Areli, Rahma Kurnia Putra, Maulana Hafizh Al-Qadri, Afrizal Soffan Fatkhi, Rahardian Titus Nurdiansyah, Firdausa Retnaning Restu
The Indonesian smart hybrid light train is a train under development by the government and will operate in Makassar-Parepare, Indonesia track. The authors conducted a numerical study on CFD to investigate the air flow distribution inside the air conditioning ducting and the air velocity and air temperature distribution on Motor Engine and Compartment (MEC) car to achieve the passenger comfort criteria based on the regulation standard of Indonesia Minister of Transportation Number 69 of 2019. This study was conducted by simulating 5 variations of air barriers height inside the supply ducts. The input of air into the ducting has the parameters of mass flow rate, static temperature, static pressure, and density with the values of 1 kg/s, 20 °C, 1 atm, and 1.2 kg/m3, respectively. The simulation results show that variation E is the best design which generated the average air velocity and air temperature distribution in the executive passenger cabin with the values of 0.25 m/s and 21.91 °C, respectively. Meanwhile, the other 4 variations did not satisfy the standard. The results also show that the ducting geometry can accommodate the air temperature difference on the MEC car that does not exceed 1.5 °C and the air supply is sufficient from the air conditioner unit to the driver room.
{"title":"NUMERICAL STUDY THE EFFECT OF AIR BARRIERS HEIGHT INSIDE THE AIR CONDITIONING DUCTING TO SATISFY THE REGULATION OF INDONESIA MINISTER OF TRANSPORTATION NUMBER 69 OF 2019","authors":"Fauzun Fauzun, Cahyo Wibi Yogiswara, H. M. Ariyadi, Muhammad Salim Taufiqurrahman, Aldy Franstanata Ritonga, Indro Pranoto, Rendianto Aginta Garingging, Fakhreza Areli, Rahma Kurnia Putra, Maulana Hafizh Al-Qadri, Afrizal Soffan Fatkhi, Rahardian Titus Nurdiansyah, Firdausa Retnaning Restu","doi":"10.5937/jaes0-45415","DOIUrl":"https://doi.org/10.5937/jaes0-45415","url":null,"abstract":"The Indonesian smart hybrid light train is a train under development by the government and will operate in Makassar-Parepare, Indonesia track. The authors conducted a numerical study on CFD to investigate the air flow distribution inside the air conditioning ducting and the air velocity and air temperature distribution on Motor Engine and Compartment (MEC) car to achieve the passenger comfort criteria based on the regulation standard of Indonesia Minister of Transportation Number 69 of 2019. This study was conducted by simulating 5 variations of air barriers height inside the supply ducts. The input of air into the ducting has the parameters of mass flow rate, static temperature, static pressure, and density with the values of 1 kg/s, 20 °C, 1 atm, and 1.2 kg/m3, respectively. The simulation results show that variation E is the best design which generated the average air velocity and air temperature distribution in the executive passenger cabin with the values of 0.25 m/s and 21.91 °C, respectively. Meanwhile, the other 4 variations did not satisfy the standard. The results also show that the ducting geometry can accommodate the air temperature difference on the MEC car that does not exceed 1.5 °C and the air supply is sufficient from the air conditioner unit to the driver room.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138597259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayoub Laarej, N. Lakouari, A. Karakhi, Hamid Ez-Zahraouy
Traffic bottleneck is considered as one of the major causes of the disturbance in traffic flow. The understanding the dynamics between vehicles and bottlenecks is crucial for enhancing traffic flow and ensuring road safety. This research examines a two-lane traffic cellular automaton model to understand the effects of static (e.g., lane reductions) and dynamic (e.g., slow-moving vehicles) bottlenecks on traffic flow and road safety. We found that at low vehicle densities, slow vehicles gravitate towards the open lane, while faster vehicles switch lanes to overtake, returning to their original lane post-bottleneck. At high densities, traffic flow near static bottlenecks ceases, independent of bottleneck length. Safety analysis shows that extended static bottlenecks reduce rear-end collision risk due to fewer lane changes and increased vehicle stationarity. At maximum density, gridlock nullifies the chance of such collisions. Our findings provide actionable insights for traffic planning focused on bottleneck management to improve road safety.
{"title":"ANALYZING THE EFFECT OF FIXED AND MOVING BOTTLENECKS ON TRAFFIC FLOW AND CAR ACCIDENTS IN A TWO-LANE CELLULAR AUTOMATON MODEL","authors":"Ayoub Laarej, N. Lakouari, A. Karakhi, Hamid Ez-Zahraouy","doi":"10.5937/jaes0-45808","DOIUrl":"https://doi.org/10.5937/jaes0-45808","url":null,"abstract":"Traffic bottleneck is considered as one of the major causes of the disturbance in traffic flow. The understanding the dynamics between vehicles and bottlenecks is crucial for enhancing traffic flow and ensuring road safety. This research examines a two-lane traffic cellular automaton model to understand the effects of static (e.g., lane reductions) and dynamic (e.g., slow-moving vehicles) bottlenecks on traffic flow and road safety. We found that at low vehicle densities, slow vehicles gravitate towards the open lane, while faster vehicles switch lanes to overtake, returning to their original lane post-bottleneck. At high densities, traffic flow near static bottlenecks ceases, independent of bottleneck length. Safety analysis shows that extended static bottlenecks reduce rear-end collision risk due to fewer lane changes and increased vehicle stationarity. At maximum density, gridlock nullifies the chance of such collisions. Our findings provide actionable insights for traffic planning focused on bottleneck management to improve road safety.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138597468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Viacheslav Zelentsov, Yuriy Andrianov, Victor Mochalov
The article is devoted to the use of qualimetry methods for models and polymodel complexes in order to solve one of the relevant engineering problems - automation of selecting methods for calculating Earth remote sensing (ERS) data processing when analysing the state of complex natural and technical systems. The proposed approach was discussed using the example of choosing methods for calculating forest sustainability indicators. A typical situation was considered when alternative methods and models can be applied at each stage of data processing. The essence of the proposed approach is to formulate and solve the task on multicriteria comparative analysis of processing methods based on a set of indicators, which include costs, required for implementation one or another method, efficiency, which refers to calculation duration of the analysed sustainability indicator, and an indicator reflecting the quality of the solution - accuracy of calculations result. The solution algorithm was illustrated within an example of choosing the method for assessing consequences of the forest fire. The selection results were presented in the form of a table, which allows the user to evaluate losses and gains in the values of partial indicators when moving from applying one method to another. The proposed algorithmization of the selection task determines possibility for its automation and, thereby, simplifying application of complex methods for processing ERS data for the end user. In addition, the possibilities and degree of validity for scaling the results of processing ERS data from individual areas to large forest areas are expanding.
{"title":"MULTICRITERIA SELECTION OF A METHOD FOR PROCESSING MULTISPECTRAL EARTH REMOTE SENSING DATA","authors":"Viacheslav Zelentsov, Yuriy Andrianov, Victor Mochalov","doi":"10.5937/jaes0-47477","DOIUrl":"https://doi.org/10.5937/jaes0-47477","url":null,"abstract":"The article is devoted to the use of qualimetry methods for models and polymodel complexes in order to solve one of the relevant engineering problems - automation of selecting methods for calculating Earth remote sensing (ERS) data processing when analysing the state of complex natural and technical systems. The proposed approach was discussed using the example of choosing methods for calculating forest sustainability indicators. A typical situation was considered when alternative methods and models can be applied at each stage of data processing. The essence of the proposed approach is to formulate and solve the task on multicriteria comparative analysis of processing methods based on a set of indicators, which include costs, required for implementation one or another method, efficiency, which refers to calculation duration of the analysed sustainability indicator, and an indicator reflecting the quality of the solution - accuracy of calculations result. The solution algorithm was illustrated within an example of choosing the method for assessing consequences of the forest fire. The selection results were presented in the form of a table, which allows the user to evaluate losses and gains in the values of partial indicators when moving from applying one method to another. The proposed algorithmization of the selection task determines possibility for its automation and, thereby, simplifying application of complex methods for processing ERS data for the end user. In addition, the possibilities and degree of validity for scaling the results of processing ERS data from individual areas to large forest areas are expanding.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138595696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Kushchenko, С.В. Кущенко, Александр Новиков, Лилия Королева
The article analyzes the accident rate on the roads at the entrance sections of the Belgorod agglomeration road network with the help of a documentary study of traffic accident records for the statistical assessment of the road traffic situation. It has been established that collisions and hitting a pedestrian are particular types of traffic accidents. The results of the analysis showed that Tuesday and Sunday are among the peak days of the week in terms of the probability of traffic accidents. Calculations based on mathematical statistics and probability theory have shown that there is a correlation between the number of accidents and the proposed characteristic hours of the day. To improve road safety, an information model was developed, an information model for reducing traffic accidents in places of concentration of traffic accidents.
{"title":"THE STATISTICAL ASSESSMENT OF THE TRAFFIC SITUATION BASED ON SAMPLE DATA OF TRAFFIC ACCIDENTS IN THE URBAN AGGLOMERATION","authors":"L. Kushchenko, С.В. Кущенко, Александр Новиков, Лилия Королева","doi":"10.5937/jaes0-42852","DOIUrl":"https://doi.org/10.5937/jaes0-42852","url":null,"abstract":"The article analyzes the accident rate on the roads at the entrance sections of the Belgorod agglomeration road network with the help of a documentary study of traffic accident records for the statistical assessment of the road traffic situation. It has been established that collisions and hitting a pedestrian are particular types of traffic accidents. The results of the analysis showed that Tuesday and Sunday are among the peak days of the week in terms of the probability of traffic accidents. Calculations based on mathematical statistics and probability theory have shown that there is a correlation between the number of accidents and the proposed characteristic hours of the day. To improve road safety, an information model was developed, an information model for reducing traffic accidents in places of concentration of traffic accidents.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138600266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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