scholarly journals The Research on Traffic Congestion Problem in Beijing Based on Random Effect Model

2021 ◽  
Vol 5 (3) ◽  
pp. p1
Author(s):  
Zhipeng Zhang ◽  
Chujun Zhao
Keyword(s):  
Traffic Congestion ◽  
Demand Curve ◽  
Rapid Development ◽  
Heavy Traffic ◽  
Supply And Demand ◽  
Random Effect ◽  
Random Effect Model ◽  
Economic Loss ◽  
Motor Vehicles ◽  
Traffic Light

With the advancement of urbanization and the rapid development of the economy, the number of motor vehicles has also increased sharply, which has led to the increasingly heavy traffic congestion problem, especially in the international metropolis like Beijing. It is more serious, bringing economic loss and seriously affecting its further development. Therefore, it is of great importance to solve the problem in Beijing. In response to the above issue, despite the introduction and implementation of a series of measures in Beijing, it is still unable to properly solve the traffic congestion problem. Today, traffic congestion in Beijing still exists. This paper will mainly start from the causes of traffic congestion, and analyze the problems and phenomena based on the random effects model to obtain the reasons. According to the goal of relieving the traffic congestion problem, we will use the traffic supply and demand theory combined with the actual traffic situation, establish the traffic light model, the travel optimization model and the automobile demand curve model. With the hypothesis, simulation and analysis, we drew the corresponding conclusions. At the same time, the corresponding policy recommendations were put forward to relieve the traffic congestion problem in Beijing.

scholarly journals System Dynamics Analysis of the Relationship between Transit Metropolis Construction and Sustainable Development of Urban Transportation—Case Study of Nanchang City, China

2020 ◽  
Vol 12 (7) ◽  
pp. 3028
Author(s):  
Yunqiang Xue ◽  
Lin Cheng ◽  
Kuang Wang ◽  
Jing An ◽  
Hongzhi Guan
Keyword(s):  
Sustainable Development ◽  
System Dynamics ◽  
Traffic Congestion ◽  
Simulation Analysis ◽  
Supply And Demand ◽  
Urban Transportation ◽  
Urban Environments ◽  
Motor Vehicles ◽  
The Sustainable Development ◽  
New Energy

In order to systematically analyze the benefits of transit metropolis construction, the system dynamics (SD) theory was used to construct the transit metropolis SD simulation model from the four subsystems of economy, society, environment, and transportation supply and demand. The validity of the SD model was verified by the social and economic data of Nanchang City and the operational data of the bus company, and the quantitative simulation analysis was carried out by taking the construction of the transit metropolis in Nanchang as an example. The simulation results show that, in 2020, the number of motor vehicles in Nanchang will reach 1.13 million and the urban population will reach 5.71 million. It is necessary to build a transit metropolis for the sustainable development of urban transportation. In order to complete the transit metropolis creation goal of 60% of the public transit mobility sharing rate, the proportion of public transport investment in the total transportation investment needs to be adjusted from 0.25 to 0.35. As a result, Nanchang City will improve after the peak traffic congestion in 2022, indicating that the construction of the transit metropolis will have a positive effect on Nanchang. By developing new energy vehicles and low-emission vehicles, vehicle emissions will drop from 0.05 tons/year to 0.04 tons/year, and overall nitrogen oxide emissions will fall by 70%, which is significant for urban environments. The research results provide theoretical support for the significance of transit metropolis construction, and promote the sustainable development of urban transportation.

scholarly journals Using the Multilevel Random Effect Model to Analyze the Behavior of Carpool Users in Different Cities

2021 ◽  
Vol 13 (2) ◽  
pp. 937
Author(s):  
Tzu-Ying Chen ◽  
Rong-Chang Jou ◽  
Yi-Chang Chiu
Keyword(s):  
Traffic Congestion ◽  
Random Effect ◽  
El Paso ◽  
Random Effect Model ◽  
Living Situation ◽  
Individual Level ◽  
Effect Model ◽  
Commercial Company ◽  
The Government ◽  
The Individual

The purpose of this study was to offer a comprehensive econometrical framework based on a multilevel random effect logistic model that could highlight important contributors to carpool users among different cities with various attributes. The data was collected from the three cities of Tucson, AZ, USA; El Paso, TX, USA; and Austin, TX, USA and was based on register-based travel trip data from the Metropia platform and American Community Survey information from 2016 to 2017. The empirical results indicated there were statistically significant differences among carpool users in different cities due to the transportation mode, number of vehicles available, total number of males driving alone, and number of single-parent households. The individual level result showed that incentives had a significant effect on the promotion of carpool passenger and driver behavior. In addition, the time of finding the parking space at work, living situation of the household, flexibility to change departure times, gender, and age could effectively increase the possibility of carpool usage. The results of this study give a better understanding of the events in the initial factors of carpooling behavior and can be used by the government or commercial company to design an effective solution for traffic congestion.

A new bus lane on urban expressway with no-bay bus stop

2016 ◽  
Vol 30 (03) ◽  
pp. 1550264 ◽  
Author(s):  
Zhao Tian ◽  
Limin Jia
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Rapid Development ◽  
Heavy Traffic ◽  
Transit System ◽  
Lane Changing ◽  
Public Transport System ◽  
Bus Stop ◽  
Bus Lane ◽  
Lower Ratio

The sharp increase in residents and vehicles causes heavy traffic pressure in many cities. To ease traffic congestion, it has been the common sense that we should develop public transit system. The priority of the bus appears particularly necessary with the rapid development of the public transport system. The bus lane is an important embodiment of the bus priority. Focusing on the problem of the unreasonable dedicated bus lane (DBL) under the lower ratio of buses, this paper proposed a new bus lane with limited physical length. And this bus lane can reduce the lane-changing conflict caused by the buses and cars running on roads without bus lanes. Based on the cellular automata (CA) traffic flow model and the lane-changing behavior of the vehicle including the optional lane-changing and the mandatory lane-changing, a three-lane traffic model with an isolated no-bay bus stop is proposed. The ordinary three-lane traffic without a bus lane and the cases of traffic with a DBL or the proposed bus lane are simulated, and the comparisons in the form of the fundamental diagrams are made among them. It is shown that the no-bay bus stop can act as a bottleneck on the traffic flow because of the mandatory lane-changing behavior. Under a certain ratio of the bus number to the total vehicles number, (1) the traffic with the proposed bus lane has less lane-changing conflict and can provide higher traffic capacity than the ordinary traffic without a bus lane, (2) compared with the DBL, the proposed bus lane is advantageous in easing congestion on the ordinary lanes when the traffic flow is high and can avoid unreasonable allocation of the road resources.

scholarly journals A Carbon Emission Calculation Model for Roadside Parking

2021 ◽  
Vol 18 (4) ◽  
pp. 1906
Author(s):  
Wei Wang ◽  
Hongming Zhong ◽  
Yu Zeng ◽  
Yachao Liu ◽  
Jun Chen
Keyword(s):  
Carbon Emissions ◽  
Traffic Congestion ◽  
Carbon Emission ◽  
Rapid Development ◽  
Measurement Model ◽  
Motor Vehicles ◽  
Estimation Methods ◽  
Future Research ◽  
Emission Measurement ◽  
Emission Model

With the sustained and rapid development of China’s national economy, the number of motor vehicles owned by families in cities is rapidly growing. Consequently, problems of traffic congestion and air pollution have also appeared in these cities. Roadside parking traffic has also become an important part of the transportation system in cities. However, there is no specific measurement model for carbon emissions caused by roadside parking in the proposed traffic carbon emission model. Therefore, we aim to establish a carbon emission measurement model for roadside parking. In this paper, we first study the characteristics of the deceleration and maneuvering of parking vehicles and the blocking impact on running vehicles in a typical roadside parking scenario. We then establish and fit models of the direct and indirect carbon emissions during roadside parking. Based on the carbon emission model, we propose a calculation method for roadside parking carbon emissions, including accounting and estimation methods. These models can be used to calculate the carbon emissions from roadside parking in a traffic carbon emissions system. We also hope that these models will help future research on the optimization of roadside parking facilities for energy saving and emission reduction.

scholarly journals Drug resistance markers within an evolving efficacy of anti-malarial drugs in Cameroon: a systematic review and meta-analysis protocol

2020 ◽  
Author(s):  
Peter Thelma Ngwa Niba ◽  
Akindeh M. Nji ◽  
Marie-Solange Evehe ◽  
Innocent M. Ali ◽  
Palmer Masumbe Netongo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Drug Resistance ◽  
Plasmodium Falciparum ◽  
Meta Analysis ◽  
Rapid Development ◽  
Random Effect ◽  
Random Effect Model ◽  
Pool Data ◽  
Mesh Terms ◽  
Resistance Markers

Abstract Background: Cameroon remains a country faced with high malaria burden despite enormous efforts made in the control of the disease. The rapid development and dispersal of mutations associated with anti-malarial drug resistance influenced policy changes from the use of chloroquine, amodiaquine and sulphadoxine-pyrimethamine to the adoption of artemisinin-based combination therapies (ACTs) for the treatment of uncomplicated falciparum malaria. Different studies have identified the frequency of key markers in Plasmodium falciparum associated with drug resistance without a clear picture on the localisation of potential hotspots that may drive the emergence of resistance to the currently used ACTs. This systematic review and meta-analysis aims to determine the prevalence and distribution of P. falciparum drug resistance markers within an evolving efficacy of anti-malarial drugs in Cameroon from 1990 to present.Methods: The PRISMA, PRISMA-P and STREGA statements will be adopted in the quality assessments of studies to be included in this review. The electronic databases of Medline via Pubmed, EMBASE, Google Scholar and Science Direct will be searched by two independent researchers using different MeSH terms and Boolean operators (AND, OR). More so, unpublished data that will be sourced from academic libraries will also be extracted. Quantitative syntheses will be done using the “metaphor” and “meta” commands in the R statistical software package version 3.5.2. Heterogeneity will be assessed using Cochrane Q and the I2. The random effect model will be used as benchmark to combine studies showing heterogeneity.Discussion: The primary outcome of this review is to identify and describe molecular markers conferring drug resistance in Plasmodium falciparum parasites that have been circulating for a period of over 30 years in Cameroon. This review will be able to pool data from previously published and unpublished studies on anti-malarial drug resistance gene mutations. This will provide evidence to support the continuous use of ACTs in the treatment of uncomplicated P. falciparum malaria. Moreover, it is also hoped that potential hotspots driving the emergence and spread of anti-malarial resistance markers will be identified. Systematic review registration: PROSPERO CRD42020162620

scholarly journals Improving traffic and emergency vehicle clearence at congested intersections using fuzzy inference engine

2021 ◽  
Vol 11 (4) ◽  
pp. 3176
Author(s):  
Aditi Agrawal ◽  
Rajeev Paulus
Keyword(s):  
Control System ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Fuzzy Inference ◽  
Heavy Traffic ◽  
Green Light ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Traffic Condition ◽  
Traffic Lights

Traffic signals play an important role in controlling and coordinating the traffic movement in cities especially in urban areas. As the traffic is exponentially increasing in cities and the pre-timed traffic light control is insufficient in effective timing of the traffic lights, it leads to poor traffic clearance and ultimately to heavy traffic congestion at intersections. Even the Emergency vehicles like Ambulance and Fire brigade are struck at such intersections and experience a prolonged waiting time. An adaptive and intelligent approach in design of traffic light signals is desirable and this paper contributes in applying fuzzy logic to control traffic signal of single four-way intersection giving priority to the Emergency vehicle clearance. The proposed control system is composed of two parallel controllers to select the appropriate lane for green signal and also to decide the appropriate green light time as per the real time traffic condition. Performance of the proposed system is evaluated by using simulations and comparing with pre-timed control system in changing traffic flow condition. Simulation results show significant improvement over the pre-timed control in terms of traffic clearance and lowering of Emergency vehicle wait time at the intersection especially when traffic intensity is high.

Dynamic Simulation and Optimization of Traffic Signal System

2015 ◽  
Vol 744-746 ◽  
pp. 1971-1974 ◽  
Author(s):  
Jia Jia Xiang ◽  
Lian Xue
Keyword(s):  
Traffic Congestion ◽  
Supply And Demand ◽  
Traffic Signal ◽  
Urban Traffic ◽  
Motor Vehicles ◽  
Transmission Model ◽  
Operating Efficiency ◽  
Traffic Signal Control ◽  
Cell Transmission Model ◽  
Simulation And Optimization

With the economic development and urbanization, the number of motor vehicles increased rapidly, because the contradictions between urban traffic supply and demand imbalances are becoming increasingly acute. We used the cell transmission model (CTM) to optimize on the basis of a single intersection by observing the delay time and the traffic capacity, research into the intelligent urban traffic signal control system, improve the operating efficiency of the existing transportation system. To a certain extent, it addresses the issue of urban traffic congestion.

scholarly journals Drug resistance markers within an evolving efficacy of anti-malarial drugs in Cameroon: a systematic review and meta-analysis protocol

2020 ◽  
Author(s):  
Peter Thelma Ngwa Niba ◽  
Akindeh M. Nji ◽  
Marie-Solange Evehe ◽  
Innocent M. Ali ◽  
Palmer Masumbe Netongo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Drug Resistance ◽  
Plasmodium Falciparum ◽  
Meta Analysis ◽  
Rapid Development ◽  
Random Effect ◽  
Random Effect Model ◽  
Pool Data ◽  
Mesh Terms ◽  
Resistance Markers

Abstract Background Cameroon remains a country faced with high malaria burden despite enormous efforts made in the control of the disease. The rapid development and dispersal of mutations associated with anti-malarial drug resistance influenced policy changes from the use of chloroquine, amodiaquine and sulphadoxine-pyrimethamine to the adoption of artemisinin-based combination therapies (ACTs) for the treatment of uncomplicated falciparum malaria. Different studies have identified the frequency of key markers in Plasmodium falciparum associated with drug resistance without a clear picture on the localisation of potential hotspots that may drive the emergence of resistance to the currently used ACTs. This systematic review and meta-analysis aims to determine the prevalence and distribution of P. falciparum drug resistance markers within an evolving efficacy of anti-malarial drugs in Cameroon from 1990 to present.Methods The PRISMA, PRISMA-P and STREGA statements will be adopted in the quality assessments of studies to be included in this review. The electronic databases of Medline via Pubmed, Google Scholar and Science Direct will be searched by two independent researchers using different MeSH terms and Boolean operators (AND, OR). More so, unpublished data that will be sourced from academic libraries will also be extracted. Quantitative syntheses will be done using the “metaphor” and “meta” commands in the R statistical software package version 3.5.2. Heterogeneity will be assessed using Cochrane Q and the I2. The random effect model will be used as benchmark to combine studies showing heterogeneity.Discussion The primary outcome of this review is to identify and describe molecular markers conferring drug resistance in Plasmodium falciparum parasites that have been circulating for a period of over 30 years in Cameroon. This review will be able to pool data from previously published and unpublished studies on anti-malarial drug resistance gene mutations. This will provide evidence to support the continuous use of ACTs in the treatment of uncomplicated P. falciparum malaria. Moreover, it is also hoped that potential hotspots driving the emergence and spread of anti-malarial resistance markers will be identified.Systematic review registration: PROSPERO submission identification number is 162620

scholarly journals Application of Data Science Technologies in Intelligent Prediction of Traffic Congestion

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Xu Yang ◽  
Shixin Luo ◽  
Keyan Gao ◽  
Tingting Qiao ◽  
Xiaoya Chen
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Data Science ◽  
Vehicular Networks ◽  
Rapid Development ◽  
Prediction Method ◽  
Urban Traffic ◽  
Motor Vehicles ◽  
Car Accidents ◽  
Heavy Burden

In recent years, with the rapid development of economy, more and more urban residents, while owning their own motor vehicles, are also troubled by the traffic congestion caused by the backward traffic facilities or traffic management methods. The loss of productivity, car accidents, high emissions, and environmental pollution caused by traffic congestion has become a huge and increasingly heavy burden on all countries in the world. Therefore, the prediction of urban road network traffic flow and the rapid and accurate evaluation of traffic congestion are of great significance to the study of urban traffic solutions. This paper focuses on how to apply data science technologies on vehicular networks data to present a prediction method for traffic congestion based on both real-time and predicted traffic data. Two evaluation frameworks are established, and existing methods are used to compare and evaluate the accuracy and efficiency of the presented method.

scholarly journals ITLCS Based on OpenCV Image Processing Technology

2021 ◽  
Vol 2143 (1) ◽  
pp. 012031
Author(s):  
Suning Gong ◽  
Zhiying Huan ◽  
Mingmei JI ◽  
Xinxin Chen ◽  
Yuanqiu Bao
Keyword(s):  
Image Processing ◽  
Control System ◽  
Traffic Congestion ◽  
Light Signal ◽  
Traffic Signal ◽  
Processing Technology ◽  
Motor Vehicles ◽  
Traffic Light ◽  
Road Density ◽  
Image Processing Technology

Abstract With the rapid growth of the number of motor vehicles in the city, traffic congestion is more serious every day, part of it is caused by the coding delay with the red light on, not real traffic jams, now we need a control system that can really change the traffic flow. In this paper, ITLCS (intelligent traffic signal control system) based on OpenCV image processing technology is proposed to adjust the timing of traffic signal according to road density, instead of setting a level that is balanced with other lanes, so that high-load traffic lanes can be used for a long time. The camera facing the roadway in the system takes pictures of the driving route, then takes pictures of the driving density of pedestrians and vehicles, and compares each image through processing technology, after the system is processed, the traffic light signal timing can be adjusted immediately, which greatly reduces the time spent on the inactive green light and can effectively deal with the traffic congestion problem.

Sign in / Sign up

Export Citation Format

Share Document