scholarly journals Development of congestion index model and analysis of mitigation measures on urban arterials using microsimulation

2021 ◽  
Vol 81 (ET.2021) ◽  
pp. 1-16
Author(s):  
S. Akshara
Keyword(s):  
Traffic Engineering ◽  
Traffic Congestion ◽  
Statistical Tests ◽  
Model Development ◽  
Mitigation Measures ◽  
Travel Time Reliability ◽  
Great Loss ◽  
Index Model ◽  
The Mind ◽  
Congestion Index

Traffic congestion is one of the main issues related to traffic engineering, planning, and policies that directly influence the economy, environment, and lifestyle in developing countries, particularly in India. This study's main objectives are to establish the congestion index model and analyze the various mitigation measures using microsimulation. The required data were collected from selected two corridors in Tiruchirappalli, India. A correlation test was performed to identify the significant parameters that influence traffic congestion. Congestion Indices and Travel time reliability measures were computed to quantify congestion. Using a conventional regression technique, the congestion index model was developed to predict the congestion levels. The validated model predicts the congestion accurately. The mentioned statistical tests and model development were performed in SPSS 25.0 software at 95% confidence interval. A VISSIM based microsimulation was calibrated and simulated various mitigation measures with possible scenarios. Thus, the mind-numbing traffic jams can be reduced, and as a result, a great loss for the Indian economy can be reduced.

scholarly journals Understanding traffic congestion from stakeholders’ perceptive in the central area of Lahore, Pakistan

2020 ◽  
pp. 1-12
Author(s):  
Nazam Ali ◽  
Dr. Muhammad Ashraf Javid ◽  
Syed Arif Hussain ◽  
Dr. Abdur Rahim
Keyword(s):  
Traffic Engineering ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Central Area ◽  
Mitigation Measures ◽  
Cluster Sampling ◽  
Transportation Engineering ◽  
Explanatory Variables ◽  
Pedestrian Bridges ◽  
Lahore City

Congestion on roads results in infrastructural deficiencies including massive delays, greater fatalities, and enhanced mental stresses, reduced transit efficiency, and increased travel costs. Traffic is a major problem specifically in the central area of the Lahore city. This study is aimed at understanding the traffic congestion from the stakeholders’ perspective and suggesting congestion mitigation measures. A sample of 365 respondents was included through the administration of the questionnaire survey to record the explanatory variables. For this purpose, random cluster sampling method was employed to select respondents (135 pedestrians, 107 shopkeepers, 116 motorists). In-depth interviews were conducted with 7 individuals from Traffic Engineering and Planning Agency (TEPA) and Department of Transportation Engineering and Management (DTEM), about their perceptions of traffic management in the Lahore city. The results are described in the form of statistics of the data, qualitatively and quantitatively. The study has shown that the illegal parking on roadside, bad attitude of motorists and shop keepers, encroachments and running business on streets are the primary reasons for traffic congestion. These traffic congestions are hindering the efficient movements of the flow entities and causing mental stresses in the local residents. The findings of this study endorse that strict enforcement of traffic laws, provision of adequate parking spaces, provision of overhead pedestrian bridges, and education of traffic rules among masses could help to manage the traffic congestion in the central area of Lahore city.

scholarly journals IDENTIFYING KEY FACTORS OF COMMUTER TRAIN SERVICE QUALITY:AN EMPIRICAL ANALYSIS FOR DHAKA CITY

2019 ◽  
Vol 31 (2) ◽  
Author(s):  
Anika Nowshin Mowrin ◽  
Md. Hadiuzzaman ◽  
Saurav Barua ◽  
Md. Mizanur Rahman
Keyword(s):  
Traffic Congestion ◽  
Fuzzy Inference ◽  
Confusion Matrix ◽  
Model Development ◽  
Model Performance ◽  
Total Sample ◽  
Dhaka City ◽  
Anfis Model ◽  
Regular User ◽  
Inference System

Commuter train is a viable alternative to road transport to ease the traffic congestion which requires appropriate planning by concerned authorities. The research is aimed to assess passengers’ perception about commuter train service running in areas near Dhaka city. An Adaptive Neuro Fuzzy Inference System (ANFIS) model has been developed to evaluate service quality (SQ) of commuter train. Field survey data has been conducted among 802 respondents who were the regular user of commuter train and 12 attributes have been selected for model development. ANFIS was developed by the training and then tested by 80% and 20% of the total sample respectively. After that, model performance has been evaluated by (i) Confusion Matrix (ii) Root Mean Square Error (RMSE) and attributes are ranked based on their relative importance. The proposed ANFIS model has 61.50% accuracy in training and 47.80% accuracy in testing.  From the results, it is found that 'Bogie condition', 'Cleanliness', ‘Female harassment’, 'Behavior of staff' and 'Toilet facility' are the most significant attributes. This indicates that some necessary measures should be taken immediately to recover the effects of these attributes to improve the SQ of commuter train. 

scholarly journals Adaptability of the Logistics System in National Economic Mobilization Based on Blocking Flow Theory

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Xiangyuan Jing ◽  
Qingmei Tan ◽  
Liusan Wu ◽  
Xiaohui Li
Keyword(s):  
Traffic Congestion ◽  
Negative Impact ◽  
Heavy Traffic ◽  
Human Beings ◽  
Rescue Operation ◽  
Logistics System ◽  
Great Loss ◽  
National Economic ◽  
Flow Theories ◽  
Optimum Model

In the process of national economic mobilization, the logistics system usually suffers from negative impact and/or threats of such emergency events as wars and accidents, which implies that adaptability of the logistics system directly determines realization of economic mobilization. And where the real-time rescue operation is concerned, heavy traffic congestion is likely to cause a great loss of or damage to human beings and their properties. To deal with this situation, this article constructs a blocking-resistance optimum model and an optimum restructuring model based on blocking flow theories, of which both are illustrated by numerical cases and compared in characteristics and application. The design of these two models is expected to eliminate or alleviate the congestion situation occurring in the logistics system, thus effectively enhancing its adaptability in the national economic mobilization process.

Earthquakes Induced by Wastewater Injection, Part I: Model Development and Hindcasting

2020 ◽  
Author(s):  
Iason Grigoratos ◽  
Ellen Rathje ◽  
Paolo Bazzurro ◽  
Alexandros Savvaidis
Keyword(s):  
Time Lag ◽  
Model Development ◽  
Time History ◽  
Companion Paper ◽  
Rate Dependency ◽  
Seismicity Rate ◽  
Index Model ◽  
Seismicity Rates ◽  
Central United States ◽  
Spatial Calibration

ABSTRACT In the past decade, several parts of central United States, including Oklahoma, have experienced unprecedented seismicity rates, following an increase in the volumes of wastewater fluids that are being disposed underground. In this article, we present a semi-empirical model to hindcast the observed seismicity given the injection time history. Our proposed recurrence model is a modified version of the Gutenberg–Richter relation, building upon the seismogenic index model, which predicts a linear relationship between the number of induced events and the injected volume. Our methodology accounts for the effects of spatiotemporal pore-pressure diffusion, the stressing-rate dependency of the time lag between injection and seismicity rate changes, and the rapid cessation of seismicity upon unloading. We also introduced a novel multiscale regression, which enabled us to produce grid-independent results of increased spatial resolution. Although the model is generic to be applicable in any region and has essentially only two free parameters for spatial calibration, it matches the earthquake time history of Oklahoma well across various scales, for both increasing and decreasing injection rates. In the companion paper (Grigoratos, Rathje, et al., 2020), we employ the model to distinguish the disposal-induced seismicity from the expected tectonic seismicity and test its forecasting potential.

scholarly journals Assessment of network traffic congestion through Traffic Congestability Value (TCV): a new index

2015 ◽  
Vol 30 (30) ◽  
pp. 123-134 ◽  
Author(s):  
Nilanchal Patel ◽  
Alok Bhushan Mukherjee
Keyword(s):  
Land Use ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Spatial Interaction ◽  
Network Congestion ◽  
Surface Conditions ◽  
Time Average ◽  
Index Value ◽  
Congestion Index ◽  
New Formula

Abstract Traffic congestion is a major and growing problem in urban areas across the globe. It reduces the effective spatial interaction between different locations. To mitigate traffic congestion, not only the actual status of different routes needs to be known but also it is imperative to determine network congestion in different spatial zones associated with distinct land use classes. In the present paper, a new formula is proposed to quantify traffic congestion in the different spatial zones of a study area characterized by distinct land use classes. The proposed formula is termed the Traffic Congestability Value (TCV). The formula considers three major influencing factors: congestion index value, pedestrian movement and road surface conditions; since these parameters are significantly related to land use in a region. The different traffic congestion parameters, i.e. travel time, average speed and the proportion of time stopped, were collected in real time. Lower values of TCV correspond to a higher degree of congestion in the respective spatial zones and vice-versa and the results were validated in the field. TCV differs from the previous approaches to quantifying traffic congestion since it focuses on the causes of network congestion while in previous works the focus was generally on link flow congestion.

Analysis and Optimization of Hangzhou East Area Traffic Based on the Congestion Index Detection Platform

2014 ◽  
Vol 1030-1032 ◽  
pp. 2182-2186
Author(s):  
Ling Yan Ge ◽  
Bi Feng Zhu
Keyword(s):  
Automobile Industry ◽  
Traffic Congestion ◽  
High Speed ◽  
Road Traffic ◽  
Rapid Development ◽  
Traffic Demand ◽  
The Road ◽  
Fast Pace ◽  
Urbanization In China ◽  
Congestion Index

With the rapid development of urbanization in China and the motorization’s fast pace of high speed as well as the national automobile industry process, many cities in our country have been facing a huge problem - traffic congestion in recent years. And the essence of the problem is the imbalance between road traffic supply and traffic demand in the process of urban development. Aimed at the problem of traffic congestion, this paper based on Hangzhou city’s traffic congestion index of monitoring data from testing platform and statistical data from field survey , studied the Hangzhou east area of road traffic running situation, analyzed the causes of the east area of Hangzhou road congestion, and thus to adjust and optimize the road traffic system of the area, put forward reasonable system solutions and proposals to improve the management level

scholarly journals Research on road traffic congestion index based on comprehensive parameters: Taking Dalian city as an example

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401878148 ◽  
Author(s):  
Wan-Xiang Wang ◽  
Rui-Jun Guo ◽  
Jing Yu
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Travel Speed ◽  
Service Level ◽  
Evaluation Indexes ◽  
Traffic Conditions ◽  
Calculation Results ◽  
Congestion Index ◽  
Operation Status ◽  
Road Traffic Congestion

Traffic congestion index reflects the state of traffic flow. The detection and analysis on traffic congestion index can be used to estimate the operation status of roads, to plan and organize road traffic for traffic managers, and to make the reasonable decisions of travelers to travel. The traffic conditions of several evaluation indexes were analyzed. Based on the theory of fuzzy mathematics, some membership functions of the evaluating indexes were designed. Three calculation methods of traffic congestion index were proposed. Their calculation results were compared mutually. The conclusion revealed that using saturation calculated by the corresponding service level of traffic congestion index not well reflect the traffic situation, what’s more, travel speed is used to calculate the congestion index of the first method. Using comprehensive parameters can calculate the congestion index of the third method. Both them are roughly similar and in line with the actual traffic phenomenon.

scholarly journals The Effect of Murottal and Music Therapy on Reducing Blood Pressure in Palimanan Climbon

2019 ◽  
Author(s):  
Herdiman . ◽  
Rizal Ilbert
Keyword(s):  
Blood Pressure ◽  
Music Therapy ◽  
Complementary Therapies ◽  
Statistical Tests ◽  
Sampling Technique ◽  
P Value ◽  
Hypertensive Patients ◽  
Quasi Experimental ◽  
Group 2 ◽  
The Mind

Complementary therapies in both music and murottal therapy are beleaved effective because the songs and Quranic verses can have a therapeutic effect through the mind and physiology of human. This study was to identify differences influence of murotal therapy and music therapy in lowering blood pressure, This study used a quasi-experimental with a pretest-posttest approach design. The sample used in this study were 30 respondents who are divided into 2 intervention groups, group 1used murottal and group 2 terpy murottal used music therapy in hypertensive patients in Kepuh village of used Rw 04 and 05 Palimanan Cirebon sampling technique cluster rondom sampling. Statistical tests using t test. Results of data analysis showed there is significantdifferencebetweenthebloodpressureaftermurottaltherapywiththeblood pressure after music therapy in hypertensive patients, whith p value 0,001. Age and genderfactorsareconsideredhaveinfluenceinloweringbloodpressureaftermurottal therapy. The results of this study are expected to be the basis of complementary therapies and can be implemented as independent and innovative interventions in the nursing care of patients with hypertension.

scholarly journals TRAVEL TIME ANALYSIS OF SELECTED URBAN STREETS IN BAGHDAD CITY

2021 ◽  
Vol 25 (Special) ◽  
pp. 3-157-3-164
Author(s):  
Rania M. Ahmed ◽  
◽  
Zainab A. Alkaissi ◽  
Ruba Y. Hussain ◽  
◽  
...  
Keyword(s):  
Travel Time ◽  
Traffic Congestion ◽  
Performance Metrics ◽  
Time Estimation ◽  
Travel Speed ◽  
Travel Time Estimation ◽  
Travel Time Reliability ◽  
Urban Streets ◽  
Traffic Performance ◽  
Local Speed

Estimating travel time and measuring speed are critical for increasing the efficiency and safety of traffic road networks. This study presents an investigation of arterial travel time estimation for vital routes in Baghdad city. These estimations including speeds, stops, and delays were computed via GPS device and compared to those currently used to quantify congestion and travel time reliability. The study involved a 45-day survey of private vehicles in Baghdad utilizing a Global Positioning System (GPS) probe to collect data on traffic performance metrics for analysis in a GIS context. It was found that the proposed travel time performance measures show definite differences in estimates of peak-hour travel time as compared with weekend travel time. Route (1) from Bayaa intersection - Bab Al-Mutham intersection (through highway) produced a travel time of 165 minutes and 136 minutes for Bayaa intersection - Bab Al-Mutham intersection (through downtown). The travel speed of routes 1 and 2 are observed near 25 kmph which is below the local speed limit of 70 kmph. The maximum travel time of routes 1 and 2 are 71 minutes and 37 minutes, respectively. While delay time was observed 45 and 20 minutes due to traffic congestion on route 1 and 2, respectively. The majority of vehicles are capable of traveling at normal speeds, with relatively few exceeding them.

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