Traffic Density
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2022 ◽  
Vol 421 ◽  
pp. 126915
Author(s):  
A.S.M. Bakibillah ◽  
Yong Hwa Tan ◽  
Junn Yong Loo ◽  
Chee Pin Tan ◽  
M.A.S. Kamal ◽  
...  

Author(s):  
Ying-Xiang Hu ◽  
Rui-Sheng Jia ◽  
Yong-Chao Li ◽  
Qi Zhang ◽  
Hong-Mei Sun

2022 ◽  
Vol 23 (1) ◽  
pp. 244-257
Author(s):  
Mochamad Aditya Irawanto ◽  
Casi Setianingsih ◽  
Budhi Irawan

The intelligent traffic monitors are devloped and became more interst in recent years. A detection system in the monitoring traffic system is proposed using different algorithms. Pin Hole Algorithm used to detect the car that passes  the road (the studied area). A fixed camera mounted at predetermined point used with known height (of the camera), the intensity of the light, and the visibility of the camera. The classification process is important to know the traffic congestion status. The traffic congestion status will be sent to the server address already provided.  In the congestion detection test results were obtained with an accuracy value of 85% using the 64x64 grid division and obtaining good detection results for susceptible light intensity values between 5430 and 41379 LUX with an accuracy value of between 60% and 90%. ABSTRAK: Sejak beberapa tahun ini, sistem pengawasan trafik pintar telah dibina dan terus berkembang luas. Sistem pengesanan dalam sistem trafik pengawasan telah dicadangkan menggunakan pelbagai algoritma. Algoritma lubang pin digunakan bagi mengesan kereta yang melalui jalan (kawasan kajian). Kamera dipasang tetap pada titik tertentu iaitu dengan menyelaras ketinggian kamera, keamatan cahaya, dan kebolehlihatan kamera. Proses klasifikasi sangat penting bagi menentukan status kesesakan trafik. Status kesesakan trafik akan dihantar ke alamat pelayan yang telah disediakan. Nilai ketepatan ujian pengesanan kesesakan yang diperoleh adalah 85% iaitu menggunakan pembahagi grid 64x64 dan dapatan kajian menunjukkan pengesanan yang baik bagi nilai keamatan cahaya antara 5430 dan 41379 LUX dengan nilai ketepatan antara 60% dan 90%.


2022 ◽  
Vol 955 (1) ◽  
pp. 012015
Author(s):  
W Subiantoro ◽  
Pratiksol ◽  
R Mudiyono

Abstract Toll road ramps that connect toll roads and arterial roads are often crowded until they are jammed by the activities of workers and school deliverers. And the rush hour that occurs in the morning and evening causes congestion on toll access roads both on and off ramps. The purpose of this research to find out how the performance condition of the toll access road with the distance that is currently available.. The method used in this paper is descriptive quantitative. By using the results of the Average Daily Traffic (ADT) survey at the intersection of West Bekasi, Cibitung and West Kerawang during the morning and evening rush hours. The results of the survey and analysis using the 1997 Indonesian Road Capacity Manual (IRCM) standard obtained a ratio of volume to capacity (v/c ratio), speed and traffic density, these characteristics were then used to find the Level Of Service (LOS) obtained by LOS F (VCR >1). The conclusion from the analysis is that the performance of the connecting road/ramp often occurs during rush hour with the lowest LOS F values in the morning and evening, so it is necessary to evaluate the minimum ramp distance.


astonjadro ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 151
Author(s):  
Syaiful Syaiful ◽  
Hermanto Siregar ◽  
Ernan Rustiadi ◽  
Eri Susanto Hariyadi ◽  
Fitri Aning Dwi Ardila ◽  
...  

<p>The density of motorized vehicles, especially motorcycles on the highway, is getting higher. However, in line with the 2020 Covid-19 pandemic, it has an impact on the decrease in the number of motorized vehicles on the highway. The density of motorcycles has a significant effect on noise, from all analysis calculations, the largest equation is obtained on the fourth day of the study, the second point (Sound Level Meter 2), with a contribution of 32.42%. Obtained the calculation below, y = 63.36 + 0.002x1. This equation means that if there is no decrease in motorcycle density, the noise level in SLM2 is 63.36 dBA. If there is a motorcycle density also has a significant effect on noise. The second largest equation was obtained on the third day of research at the third point (Sound Level Meter 3) with a contribution of 36.21% based on the equation calculation below, y = 60.24 + 0.001x1. The meaning of the above equation is that if there is an increase in the density of the motorcycle, the noise in the SLM3 is 60.24 dBA. The Covid-19 pandemic that has hit the world, Indonesia is also getting its effects, especially the very large Bogor district. The rapid spread of Covid-19 has changed the pattern of life for the people of Bogor, especially students who initially go to school every morning, now go to school and study online.</p>


Author(s):  
Heba Mohamed Adly ◽  
Saleh Ahmed K. Saleh

Background: The effect of polyaromatic hydrocarbons (PAHs) on human health differs depending on the duration and exposure path. Objective: This study aimed to examine the effects of PAHs on the human health risks associated with long-term exposure both before and throughout the COVID-19 pandemic. Methodology: PM10 sampling for 24 h was conducted at six sampling sites (Al-Haram, Aziziyah, Al Nuzhah, Muzdalifah, Arafat, and Al Awali). On-site measurements were conducted from March 2020 to February 2021. PAHs were analyzed using Perkin Elmer GC/MS, which was adjusted with standard reagents for identifying 16 PAH mixtures. Results: The 24 h average PM10 concentration showed considerable inconsistencies, exceeding the WHO standards used for median exposure (25.0 µgm−3). The PAH intensities fluctuated from 7.67 to 34.7 ng/m3 in a suburban area, near a rush-hour traffic road, and from 6.34 to 37.4 ng/m3 close to business and light manufacturing areas. The highest carcinogenic compound levels were found in the Al-Azizia, Al Muzdalifah, and Al Nuzah areas because of the high traffic density, and the lowest concentrations were found in the Al-Haram and Arafat areas throughout the year, as a result of the COVID-19 pandemic health precautions that were undertaken by the government of Saudi Arabia involving border entry limits and limitations of the Umrah and Hajj seasons. Conclusion: This study period is considered extraordinary as the Saudi Arabian government has undertaken successful preventive measures that have had a great effect both on the spread of the pandemic and in reducing air pollution in Makkah. More studies are required to examine PAHs’ carcinogenic effects after the pandemic measures are eased across Makkah.


2021 ◽  
Vol 15 (4) ◽  
pp. 709-718
Author(s):  
Yuniar Farida ◽  
Suyesti Yusi ◽  
Dian Yuliati

The increase in the number of airplane passengers occurs at certain times, such as Eid al-Adha, Eid al-Fitr, and Christmas holidays. Of course, an excessive rise in the number of passengers can cause extreme flight traffic density so that which can cause flight delays, decreased airport service level performance, and other impacts. This study predicts the number of aircraft passengers at Juanda International Airport using the Exponential Smoothing Event-Based method. The Exponential Smoothing Event-Based method is a forecasting method that considers special events using the Exponential Smoothing method as the initial calculation. This study uses data on the number of passengers from January 2014 to December 2020. From the forecasting model, MAPE is 11.8905%, and MSE is 4202958561.0706, so that the resulting forecast can be categorized as good.


2021 ◽  
Vol 25 (8) ◽  
pp. 1357-1363
Author(s):  
I.E. Okon ◽  
K.I. Omoniyi ◽  
E.D. Paul ◽  
P.A. Ekwumemgbo

This study aimed at assessing the influence of vehicle traffic on spatial variation of ozone (O3) and its vehicular emission precursors in the air of Port Harcourt city. Sampling was carried out in ten (10) sites, eight (8) located within the high traffic density area (study sites) and two (2) located within the very low traffic density area (reference sites). The precursor pollutants measured were nitrogen dioxide (NO2), carbon monoxide (CO) and volatile organic compounds (VOCSs). Ozone and the precursor pollutants were measured in situ using AeroQUAL 500 series portable ambient air analyzer while traffic flow survey was achieved by direct counting. Measurements were carried out at morning, evening and off-peak traffic periods respectively. The mean concentrations of ozone and the precursor pollutants were significantly higher (p = 0.05) in the study sites than in the reference sites. Mean concentrations were higher at peak traffic periods than at off-peak traffic periods except for ozone that was higher at off-peak than at morning peak. There was significant correlation between traffic density and each of the pollutants including ozone. The spatial variability in concentration of pollutants was influenced by vehicular traffic. VOCs and NO2 levels were higher than the National Ambient Air Quality Standard (NAAQS) limit of 0.05 ppm and 0.04 – 0.06 ppm respectively, O3 concentration was below the standard limit (0.06 ppm) but was at the verge of exceeding. Traffic emission within the city was significant and could be mitigated through regular monitoring and control.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nur Budi Mulyono ◽  
Noorhan Firdaus Pambudi ◽  
Lukni Burhanuddin Ahmad ◽  
Akbar Adhiutama

PurposeThe lack of studies about the response time of emergency medical service during the coronavirus disease 2019 (COVID-19) pandemic in a dense city of a developing country has triggered this study to explore the factors contributing to a high response time of ambulance service to reach patients in need. An evaluation of contributing factors to the response time is necessary to guide decision-makers in keeping a high service level of emergency medical service.Design/methodology/approachThis research employed an agent-based modeling approach with input parameters from interviews with emergency medical service staff in Bandung city, Indonesia. The agent-based model is established to evaluate the relevant contribution of the factors to response time reduction using several scenarios.FindingsAccording to agent-based simulation, four factors contribute to the response time: the process of preparing crew and ambulance during the pandemic, coverage area, traffic density and crew responsiveness. Among these factors, the preparation process during the pandemic and coverage area significantly contributed to the response time, while the traffic density and crew responsiveness were less significant. The preparation process is closely related to the safety procedure in handling patients during the COVID-19 pandemic and normal time. The recommended coverage area for maintaining a low response time is 5 km, equivalent to six local subdistricts.Research limitations/implicationsThis study has explored the factors contributing to emergency medical response time. The insignificant contribution of the traffic density showed that citizens, in general, have high awareness and compliance to traffic priority regulation, so crew responsiveness in handling ambulances is an irrelevant factor. This study might have different contributing factors for less dense population areas and focuses on public emergency medical services provided by the local government.Practical implicationsThe local government must provide additional funding to cover additional investment for ambulance, crew and administration for the new emergency service deployment point. Exercising an efficient process in ambulance and crew preparation is mandatory for each emergency deployment point.Originality/valueThis study evaluates the contributing factors of emergency medical response time in the pandemic and normal situation by qualitative analysis and agent-based simulation. The performance comparison in terms of medical response time before and after COVID-19 through agent-based simulation is valuable for decision-makers to reduce the impact of COVID-19.


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