scholarly journals Impact of Rainfall on Traffic Speed in Major Cities of China

2021 ◽  
Vol 13 (16) ◽  
pp. 9074
Author(s):  
Min Zhang ◽  
Yufu Liu ◽  
Wenqi Sun ◽  
Yixiong Xiao ◽  
Chang Jiang ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Vulnerability Index ◽  
Urban Traffic ◽  
Healthy Development ◽  
Physical Examinations ◽  
Traffic Speed ◽  
Evaluation Mechanism ◽  
Congestion Index ◽  
The Impact ◽  
Important Basis

The construction of healthy transportation is an important ingredient for promoting the healthy development of cities. The establishment of an urban traffic evaluation mechanism can provide an important basis for the construction of healthy transportation. This study focused on the impact of precipitation on traffic speed and developed an urban traffic vulnerability index. This index reflects the degree of traffic affected by precipitation, which is calculated based on the traffic congestion index under different rainfall intensities. The traffic vulnerability indices of 41 major cities in China under rainfall conditions were evaluated. Based on the above traffic vulnerability indexes, the impact of socioeconomic factors on urban traffic vulnerability was analyzed. The three key findings of this study are as follows: there was a positive correlation between the vulnerability index and the gross domestic product (GDP); the urban population (POP) had a significant impact on the urban traffic vulnerability; and urban car ownership had little impact on traffic vulnerability. Based on these findings, possible measures to improve urban traffic vulnerability are proposed. The construction of an index system provides a basis for enhancing the urban traffic assessment mechanism, promoting the development of urban physical examinations and building healthy transportation and healthy cities.

scholarly journals EFFECTS OF THE RAINSTORM ON URBAN ROAD TRAFFIC SPEED — A CASE STUDY OF SHENZHEN, CHINA

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 71-75 ◽  
Author(s):  
Q. Li ◽  
X. Hao ◽  
W. Wang ◽  
A. Wu ◽  
Z. Xie
Keyword(s):  
Traffic Management ◽  
Road Traffic ◽  
Urban Traffic ◽  
Gps Tracking ◽  
Shenzhen City ◽  
Adverse Weather ◽  
Stormy Weather ◽  
Wide Scale ◽  
Traffic Speed ◽  
The Impact

The adverse weather may significantly impact urban traffic speed and travel time. Understanding the influence of the rainstorm to urban traffic speed is of great importance for traffic management under stormy weather. This study aims to investigate the impact of rainfall intensity on traffic speed in the Shenzhen (China) during the period 1 July 2015–31 August 2016. The analysis was carried out for five 1-h periods on weekdays during the morning periods (6:00 AM–11:00 AM). Taxi-enabled GPS tracking data obtained from Shenzhen city are used in the analysis. There are several findings in this study. Firstly, nearly half of the roads are significantly affected by the rainstorm. Secondly, the proportion of positive correlated roads is about 35 %, but there still are some roads with uncorrelated traffic speed variation rates (SVR) and rainfall intensities. Thirdly, the impact of the rainstorm on traffic speed is not homogeneous but with obvious spatial difference. This research provides useful information that can be used in traffic management on a city-wide scale under stormy weather.

scholarly journals The Feasibility of Opening Communities -- Based on the Wiedemann Car-Following Model

2018 ◽  
Vol 11 (3) ◽  
pp. 57
Author(s):  
Xiao-Yan Cao ◽  
Bing-Qian Liu ◽  
Bao-Ru Pan ◽  
Yuan-Biao Zhang
Keyword(s):  
Traffic Congestion ◽  
Large Scale ◽  
Gated Communities ◽  
Urban Traffic ◽  
Average Delay ◽  
Traffic Demand ◽  
Car Following ◽  
Car Following Model ◽  
Urbanization In China ◽  
The Impact

With the accelerating development of urbanization in China, the increasing traffic demand and large scale gated communities have aggravated urban traffic congestion. This paper studies the impact of communities opening on road network structure and the surrounding road capacity. Firstly, we select four indicators, namely average speed, vehicle flow, average delay time, and queue length, to measure traffic capacity. Secondly, we establish the Wiedemann car-following model, then use VISSIM software to simulate the traffic conditions of surrounding roads of communities. Finally, we take Shenzhen as an example to simulate and compare the four kinds of gated communities, axis, centripetal and intensive layout, and we also analyze the feasibility of opening communities.

scholarly journals EXPLORING THE POTENTIAL OF TRAFFIC INDEX DATA TO ANALYZE ESSENTIAL TRAFFIC IMPACT IN DEVELOPING CITIES

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 137-141
Author(s):  
T. Moyo ◽  
A. Kibangou ◽  
W. Musakwa
Keyword(s):  
Traffic Congestion ◽  
Daily Basis ◽  
Economic Activities ◽  
Pollution Levels ◽  
Global Pandemic ◽  
Metropolitan Cities ◽  
Traffic Impact ◽  
Congestion Index ◽  
The Impact ◽  
The City

Abstract. In developing countries, metropolitan cities, due to their economic activities, attract an increasing amount of commuters on a daily basis. This has led to major freeways and roads experiencing high levels of congestion and consequently high pollution levels. In 2020, due to a global pandemic of an outbreak of Corona Virus (COVID-19), the national government declared a national shutdown with only essential traffic being allowed to operate. Given the scenario of the national lock-down this allows for the statistical analysis of the impact of essential traffic on the overall transportation system. Consequently the aim of the paper was to assess the congestion and CO2 emission impact of essential traffic for the City of Johannesburg. Using an exploratory approach, we monitored and collected traffic congestion data from the Tomtom traffic index for the metropolitan city of Johannesburg, South Africa. We develop a relationship between congestion and pollution to visualise the daily variations in pollution and congestion levels. We demonstrate this by comparing variations in congestion levels in two epochs, viz the period without movement restrictions and the period whereby movement is restricted. The results reveal essential traffic on the congestion index to be below 22 percent for both weekends and weekdays. A scenario common only during weekends in 2019. Whilst for the emission index, CO2 levels are approximately less than 45 percent throughout the week. The paper concludes the investment into mining and analysing traffic data has a significantly role for future mobility planning in both the developed and developing world and, more generally, improving the quality of commuting trips in the city.

scholarly journals Evaluation of driver exposure risk on toxins emitted from exhausts engine in traffic congestion simulated conditions

2018 ◽  
Vol 44 ◽  
pp. 00163
Author(s):  
Maria Skrętowicz ◽  
Anna Janicka ◽  
Radosław Wróbel ◽  
Maciej Zawiślak
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Traffic Congestion ◽  
Urban Traffic ◽  
Exhaust Emission ◽  
Passenger Cars ◽  
Traffic Lights ◽  
Traffic Conditions ◽  
Volatile Organic ◽  
The Impact

The increase in the number of vehicles and better availability of car purchase cause that nowadays people tend to spend more time inside cars. In urban traffic conditions, vehicles moves at low speeds. In addition, traffic lights and high traffic flows cause frequent stops of vehicles and often lead to congestions. The consequence is high amount of exhaust emission and high levels of the concentration of pollutants in the air. In such conditions, pollutants including hydrocarbons from the group of volatile organic compound enter the interior of vehicles with air passing into the cabin. It accumulates mainly in the area of the driver and the passengers heads. In this paper the results of the research of volatile organic compounds concentration inside two different passenger cars in simulated traffic congestion conditions are presented. The study involved vehicles of various ages: new (2011) and old (1999). On the basis of the study the driver exposure inside these vehicles to the impact of volatile organic compounds has been evaluated.

Application of AHP-GIS Technology to Assess Congestion Vulnerability, a Case Study of Ranchi City, India

2017 ◽  
Vol 8 (1) ◽  
pp. 19-42
Author(s):  
Alok Bhushan Mukherjee ◽  
Akhouri Pramod Krishna ◽  
Nilanchal Patel
Keyword(s):  
Influencing Factors ◽  
Traffic Congestion ◽  
Urban Traffic ◽  
Gis Technology ◽  
Absolute Deviation ◽  
Average Speed ◽  
Smooth Flow ◽  
Real Scenario ◽  
Index Value ◽  
Congestion Index

Urban traffic congestion is a multi-dimensional phenomenon and therefore, is sensitive to certain influencing factors behaving in a random manner. Consequently, the possibility of a route characterized by smooth flow of traffic becoming congested cannot be ruled out. The present research investigation attempts to categorize different routes of the study area in terms of their degree of congestion vulnerability. Average Speed (AS), Delay Ratio of Average Speed (DRAS), Stopped Time (ST), Stopped Time Gradient (STG), and Absolute Deviation in Congestion Index Value (ADCIV) were identified as the potential influencing factors. The AHP was employed to rank the importance of the aforementioned influencing factors in triggering congestion that can sometimes lead to traffic deadlock. On the other hand, the GIS Weighted Sum Overlay technique was employed to determine the integrated impact of the influencing factors on the behavior of traffic flow. The results showed close agreement with the real scenario of the traffic congestion observed in the field.

Net Impacts of Streetcar Operations on Traffic Congestion in Melbourne, Australia

2017 ◽  
Vol 2648 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Duy Q. Nguyen-Phuoc ◽  
Graham Currie ◽  
Chris De Gruyter ◽  
William Young
Keyword(s):  
Traffic Congestion ◽  
Urban Traffic ◽  
Future Research ◽  
Total Delay ◽  
Mode Shift ◽  
The Road ◽  
Long Term Effect ◽  
On The Road ◽  
Negative Impacts ◽  
The Impact

Public transit is widely recognized to reduce urban traffic congestion, as it encourages automobile travelers off the road. However, streetcars have been criticized for causing traffic congestion because large trams must operate in mixed traffic on narrow, congested streets. At the same time, streetcars reduce congestion by encouraging automobile drivers to use trams. So what is the net effect of streetcars on congestion? This paper presents a new method for assessing the net traffic congestion effects associated with streetcar operations in Melbourne, Australia, which has the largest streetcar network in the world. Impacts were determined with the use of a traffic network model to compare congestion with trams and without trams. The positive impacts of trams were estimated by using mode shift from tram to automobile when tram services were removed. Negative impacts were explored by considering streetcar traffic operations, the impact of curbside tram stops, and the effect of exclusive priority tram lanes on traffic flow. Findings show that the streetcar network in inner Melbourne results in a net congestion benefit to traffic; a 3.4% decrease in vehicle time traveled and total delay on the road network was established. The streetcar network also contributes to reducing the number of moderately congested links by 16%. Areas for future research are suggested, such as exploring the spatial distribution of the mode shift to automobile and the long-term effect of trams on traffic.

scholarly journals GIS-Based Survey over the Public Transport Strategy: An Instrument for Economic and Sustainable Urban Traffic Planning

2021 ◽  
Vol 11 (1) ◽  
pp. 16
Author(s):  
Gabriela Droj ◽  
Laurențiu Droj ◽  
Ana-Cornelia Badea
Keyword(s):  
Network Analysis ◽  
Public Transport ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Traffic Accidents ◽  
Urban Traffic ◽  
The Public ◽  
Real Time Traffic ◽  
The Impact

Traffic has a direct impact on local and regional economies, on pollution levels and is also a major source of discomfort and frustration for the public who have to deal with congestion, accidents or detours due to road works or accidents. Congestion in urban areas is a common phenomenon nowadays, as the main arteries of cities become congested during peak hours or when there are additional constraints such as traffic accidents and road works that slow down traffic on road sections. When traffic increases, it is observed that some roads are predisposed to congestion, while others are not. It is evident that both congestion and urban traffic itself are influenced by several factors represented by complex geospatial data and the spatial relationships between them. In this paper were integrated mathematical models, real time traffic data with network analysis and simulation procedures in order to analyze the public transportation in Oradea and the impact on urban traffic. A mathematical model was also adapted to simulate the travel choices of the population of the city and of the surrounding villages. Based on the network analysis, traffic analysis and on the traveling simulation, the elements generating traffic congestion in the inner city can be easily determined. The results of the case study are emphasizing that diminishing the traffic and its effects can be obtained by improving either the public transport density or its accessibility.

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