scholarly journals Switching Behavior and Control Policy of Congestion: Examples from Taiwan Highway System

2020 ◽  
Vol 16 (03) ◽  
pp. 657-667
Author(s):  
Kwong Tai Siu ◽  
Yulin Xu ◽  
Yee Man Tai ◽  
T. S. Choi ◽  
K. Y. Michael Wong ◽  
...  

The highway system is an important component of the modern society as it allows an efficient intercity communication. However, with the increase in the number of cars, the traffic congestion becomes a widespread problem around the world. Here, we study the traffic conditions in Hsuehshan tunnel in Taiwan. When there is traffic congestion, there is a remarkable fraction of vehicles choosing an alternative path, even if it cost more time than jamming on the highway. In addition, we evaluate through statistics and the government’s policy to improve the road condition of the tunnel.

1999 ◽  
Vol 17 (1) ◽  
pp. 273-304
Author(s):  
Jane Williams-Hogan

In this paper, the author examines the issue of charisma and prophecy in secularized societies. In traditional society the charismatic personality or the prophet brought a universalizing and rationalizing message which simultaneously expanded and penetrated the sphere of external order in the world, giving people the ability to manipulate and control the natural world. The disenchanted world is the end product of this process, when no more mysterious forces come into play, and when one can in principle master all things through rational calculation. The gift of rationality almost randomly bestowed in the ancient world becomes, for Weber, the rightful inheritance of the modern individual. Clarity brought by charisma in a dark and foreboding world loses its brilliance and its ability to beckon when the world is filled with light. In investigating charisma in only traditional societies, Weber saw charisma as one dimensional, solely as the force of rationality. So envisioned, charisma dissipates in the very act of realizing itself through the transformation of the world. Given Weber's analysis, therefore, one would not expect to find genuinely new religions emerging within our transformed and rational modern society. In the examination of the founding something that is best identified by the sociological term charisma, though obviously in modern guise, is clearly evident. This points to the possibility that charisma is not static but has the dynamic capacity to be responsive to the structural characteristics of the society in which it operates.


Author(s):  
Muhammad Fahees Ghouri ◽  

Abstract— This project is aimed at resolving severe traffic congestion in most cities across the world by using latest technologies. The world is heading towards IoT and shifting daily routine manual processes to automatic systems. Current traffic control system is based on fixed timer which becomes one of the main reasons of transport blockage. In order to overcome this problem, a framework has been designed to introduce the concept of smart traffic system which includes Internet of Things. The road side sensors attached to the Arduino Mega send information to the cloud using NodeMCU where decision is taken based on density, hence involving cloud computation to turn a particular signal green. Moreover, we have also dealt with emergency vehicles which bears the facility of turning signal green using either RFID system or GSM based mobile. Sound sensors are placed to confirm that the signal return to normal condition once the emergency vehicle has crossed the signal. Lastly, a geofencing based marketing app called “Brando” has been designed using android studio to provide location-based services from the nearest stations like shopping malls to the people on road on their respective mobile phones.


Vehicular Traffic crowding is paramount worry in urban cities. The use of technologies like Intelligent Transportation systems and Internet of Things can solve the problem of traffic congestion to some extent. The paper analyses the traffic conditions on a particular urban highway using queuing theory approach. It researches on performance framework such as time for waiting and queue length. The results can provide significant analysis to predict traffic congestion during peak hours. A congestion controlling action can be generated to utilize the road capacity fully during peak hours by using these results


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chandramohan D. ◽  
Ankur Dumka ◽  
Dhilipkumar V. ◽  
Jayakumar Loganathan

Purpose This paper aims to predict the traffic and helps to find a solution. Unpredictable traffic leads more vehicles on the road. The result of which is one of the factors that aggravate traffic congestion. Traffic congestion occurs when the available transport resources are less when compared to the number of vehicles that share the resource. As the number of vehicles increases the resources become scarce and congestion is more. Design/methodology/approach The population of the urban areas keeps increasing as the people move toward the cities in search of jobs and a better lifestyle. This leads to an increase in the number of vehicles on the road. However, the transport network, which is accessible to the citizens is less when compared to their demand. Findings The demand for resources is higher than the actual capacity of the roads and the streets. There are some circumstances, which will aggravate traffic congestion. The circumstances can be the road condition (pot holes and road repair), accidents and some natural calamities. Originality/value There is a lot of research being done to predict the traffic and model it to find a solution, which will make the condition better. However, still, it is an open issue. The accuracy of the predictions done is less.


Author(s):  
H. S. Mohana ◽  
M. Ashwathakumar

Traffic congestion and violation of traffic rules are very common in most of the road transport system. Continuous monitoring is becoming difficult. To improve the quality of road transport monitoring and control, the best possible alternative is machine vision. In this review, several works by researchers on traffic analysis are detailed, studied and reviewed critically for the purpose. Further, an attempt is made to classify the different road traffic analysis approaches available in the literature. Classification is based on principle used, algorithm adopted, techniques used, technology behind and other special considerations of the researchers.


2021 ◽  
pp. 135481662110412
Author(s):  
Can Wang ◽  
Xianming Meng ◽  
Mahinda Siriwardana ◽  
Tien Pham

The COVID-19 pandemic has hit the world hard, costing more than three and half million lives. Governments around the globe are not in a consensus position on the most appropriate response to the pandemic. This study utilizes an economic model to assess choices and compare outcome of public health policies using China as a case study. A lax policy could have costed the country up to 97% of inbound tourism revenue; reduced real gross domestic product by 11% and decreased employment by 15%. Analysis shows that the appropriate prevention and control policy of the Chinese Government have mitigated the impact of COVID-19 significantly for both tourism and non-tourism sectors. Importantly, the article highlights that the substantial negative impact on investment in tourism will slow down the sector’s recovery. The article calls for strong tourism-focused response policies for a speedy recovery.


2020 ◽  
Vol 15 (3) ◽  
pp. 446-450
Author(s):  
Lin Zarni Win ◽  
Kyaing ◽  
Ko Ko Lwin ◽  
Yoshihide Sekimoto ◽  
◽  
...  

This study aims to present the traffic conditions of one of the most congested areas in Yangon as well as the route choice behaviors of the road users in that area. It analyzes drivers’ route choice behaviors and traffic congestion according to road segments. Manual traffic counting and roadside interview methods were used in this survey. The data gathered were used in finding routes alternative to the U Htaung Bo road, which is extremely congested almost all the time. With regard to the report, it will be helpful to identify the scale of the problem that is caused by traffic congestion and to increase awareness of this issue, including amongst the government, policy makers, traffic engineers, and road users.


Author(s):  
S. I. Lashko ◽  
V. F. Milovanov

The article is devoted to the analysis of possible solutions of traffic jams, which have become an integral part of modern society. Modern transport system has many problems that are both complex and global in nature, and cannot meet sufficiently the needs of the people. The reasons lie in the imperfect organization of traffic, various kinds of miscalculations in the design and construction of roads and transport interchanges. Attempts to solve the problem of traffic jams have been made repeatedly, in different countries of the world, many researchers believe that their solution is enough to build new road junctions and the separation of traffic flows. However, according to the authors, the most acceptable, in particular, for our country, may be the ERP system, which is used in Singapore. This system involves the collection of fare: the more loaded the road, the higher the fee waiting for the traffic participant, and Vice versa, in the case of “empty" road fee will not be charged. This and other systems to cope with the transport problem are analyzed in this article.


2010 ◽  
Vol 2 (2) ◽  
pp. 64-78
Author(s):  
H. S. Mohana ◽  
M. Ashwathakumar

Traffic congestion and violation of traffic rules are very common in most of the road transport system. Continuous monitoring is becoming difficult. To improve the quality of road transport monitoring and control, the best possible alternative is machine vision. In this review, several works by researchers on traffic analysis are detailed, studied and reviewed critically for the purpose. Further, an attempt is made to classify the different road traffic analysis approaches available in the literature. Classification is based on principle used, algorithm adopted, techniques used, technology behind and other special considerations of the researchers.


Author(s):  
Kevin Collins ◽  
Gabriel-Miro Muntean

Traffic congestion is a major issue in the modern society, and unfortunately, it continues to worsen as the number of cars on the road grows behind the ability of existing road infrastructures to cope. Additionally, vehicle fuel consumption and gas emissions are increasing, and concentrated efforts to propose solutions to reduce these and consequently the pollution are needed. In this context, this chapter presents TraffCon, an innovative vehicle route management solution, which makes use of a novel best route selection algorithm for vehicular traffic routing and of vehicular wireless communications to reduce not only journey times but also fuel consumption and as a direct consequence vehicle gas emissions. The chapter shows how TraffCon can be supported by an IEEE 802.11p sparse roadside-vehicle network with very good results in comparison with classic approaches.


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