scholarly journals Traffic Flow Analysis and Management

2021 ◽  
Author(s):  
Tsutomu Tsuboi
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Flow Analysis ◽  
Traffic Monitoring ◽  
Diving Behavior ◽  
Low Carbon ◽  
Gujarat State ◽  
Traffic Condition ◽  
Transportation Demand ◽  
The City

This research is about joint government founded program between Japan and India or Science and Technology Research Partnership for Sustainable development (SATREPS). The purpose of this research is to establish Low Carbon Transportation in developing countries and we choose one of major city in India, where it is Ahmedabad city of Gujarat state—west cost of India. In order to approach the target, we need to understand the current situation of traffic condition in the city. The current traffic condition in India is some chaotic because of their different driving behavior compared with the advanced countries. It is becoming the chaotic traffic condition in India by not only diving behavior during investigation of this research. The main reason of the traffic congestion comes from the unbalance between growing transportation demand and its insufficient infrastructure preparation. In this chapter, it introduces the current traffic condition based on four years monitoring of the traffic by the traffic monitoring cameras and comparison by the traffic flow theory at first. Then it introduces the new traffic analysis method especially for its traffic congestion analysis and its parameters. After the traffic congestion analysis, it summarizes conclusion and our next step from the experience.

scholarly journals Traffic Flow Analysis and Solutions to Ease Traffic Flow at Unsignalized Taxila Intersection

2018 ◽  
Author(s):  
Danish Farooq ◽  
Tayyab Akram
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Heavy Traffic ◽  
Flow Analysis ◽  
Traffic Information ◽  
General Level ◽  
Transportation Problems ◽  
Traffic System ◽  
Traffic Systems ◽  
The City

Transportation system of a city affects all aspects of its citizen’s economic and personal activities. At a general level, the traffic problem considered as a situation of mismatch between supply (i.e., roads and their capacity) and demands (i.e., travel needs). The city administrators have tried to balance it by creating infrastructures (e.g., new roads, expanding capacity, under pass) or policy changes (e.g., banning heavy traffic movement during peak or day hours). Major problems that motorists are facing on highways intersection are congestion, accidents, and costs. Too many automobiles, trucks, buses, bicycles, and pedestrians are attempting to use the same space to reach their destiny. N-5 (major highway in Pakistan) passes through Taxila where at some intersection extreme traffic congestion sets in. Transportation problems are evident at some locations with complex roadway geometrics. So a traffic study is to be conducted to quantify the extent of transportation problems. This study aims to gain information and understanding about traffic system through the derivation of traffic information from traffic data, and then to apply this information in the assessment of the performance of traffic systems and their interaction with land use activities. This research is an effort to provide suggestion and recommendations to enforce an efficient traffic flow system.

scholarly journals Traffic Congestion Model in India by Shock Wave Theory

2021 ◽  
Author(s):  
Tsutomu Tsuboi
Keyword(s):  
Shock Wave ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Flow Analysis ◽  
Wave Theory ◽  
Traffic Monitoring ◽  
Flow Data ◽  
Shock Wave Theory ◽  
Unique Study ◽  
Traffic Flow Analysis

This manuscript is a series of traffic flow analysis in India and it describes traffic congestion model by using shockwave theory from fluid mechanism. This is unique study for emerging country India traffic flow analysis during more than one month in October 2020. In order to chaotic traffic flow analysis in India, author observes one moth traffic flow data from the traffic monitoring cameras in 26 locations in a city where it is one of major city Ahmedabad in Gujarat states of India. In terms of traffic congestion, it is sued occupancy parameter of traffic flow data which indicates road occupancy percentage by vehicles. By using shock wave theory, author defines two traffic congestion model which are “forwarding traffic congestion” model and “stacking traffic congestion” model. These models explain traffic congestion condition and it is able to provide hint for solving traffic congestion problem in India.

scholarly journals Visualization and Understanding of Traffic Flow and Congestion in India

2020 ◽  
Author(s):  
Tsutomu Tsuboi
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Social Issues ◽  
Flow Characteristics ◽  
Flow Theory ◽  
Gujarat State ◽  
Traffic Condition ◽  
Traffic Flow Theory ◽  
Traffic Data Collection ◽  
Real Traffic

This study focuses on traffic condition analysis, especially in under developing country India and makes more visible of traffic flow by using traffic flow theory in order to understand real traffic condition. India is one of rapid economic growing countries and large market with second largest population 1.3 billion in 2018. On the other hand, there are social issues such as environment air pollution and global warming by traffic CO2 emission of transportation. This kind of condition is not only in India, but in other South East Asia and Africa in future. From recent more than one-month traffic observation in a typical major city Ahmedabad in Gujarat state, which has about 8 million population and industrialized city. In terms of traffic data collection, 14 CCTV cameras are used in the city. Based on multiple traffic cameras monitoring, author found the unique traffic flow characteristics and compares traffic flow theory. In this study, it is described what is key parameters to show real traffic congestion condition and how these congestion occurs.

scholarly journals Novel Routing Algorithm for Autonomous Vehicles in Smart Transportation System

2021 ◽  
Vol 3 (3) ◽  
pp. 164-179
Author(s):  
Haoxiang Wang
Keyword(s):  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
Intelligent Transportation System ◽  
Autonomous Vehicle ◽  
Routing Algorithm ◽  
Transportation System ◽  
Traffic Condition ◽  
Smart Transportation ◽  
Centralized Management ◽  
The City

In recent times Automation is emerging every day and bloomed in every sector. Intelligent Transportation System (ITS) is one of the important branches of Automation. The major constrain in the transportation system is traffic congestion. This slurps the individual’s time and consequently pollutes the environment. A centralized management is required for optimizing the transportation system. The current traffic condition is predicted by evaluating the historical data and thereby it reduces the traffic congestion. The periodic update of traffic condition in each and every street of the city is obtained and the data is transferred to the autonomous vehicle. These data are obtained from the simulation results of transportation prediction tool SUMO. It is proved that our proposed work reduces the traffic congestion and maintains ease traffic flow and preserves the fleet management.

scholarly journals URBAN TRAFFIC FLOW ANALYSIS BASED ON DEEP LEARNING CAR DETECTION FROM CCTV IMAGE SERIES

2018 ◽  
Vol XLII-4 ◽  
pp. 499-506 ◽  
Author(s):  
M. V. Peppa ◽  
D. Bell ◽  
T. Komar ◽  
W. Xiao
Keyword(s):  
Deep Learning ◽  
Traffic Flow ◽  
Flow Analysis ◽  
Weather Conditions ◽  
Traffic Monitoring ◽  
Harmonic Mean ◽  
Fine Tuning ◽  
Road Users ◽  
Car Detection ◽  
Traffic Flow Analysis

<p><strong>Abstract.</strong> Traffic flow analysis is fundamental for urban planning and management of road traffic infrastructure. Automatic number plate recognition (ANPR) systems are conventional methods for vehicle detection and travel times estimation. However, such systems are specifically focused on car plates, providing a limited extent of road users. The advance of open-source deep learning convolutional neural networks (CNN) in combination with freely-available closed-circuit television (CCTV) datasets have offered the opportunities for detection and classification of various road users. The research, presented here, aims to analyse traffic flow patterns through fine-tuning pre-trained CNN models on domain-specific low quality imagery, as captured in various weather conditions and seasons of the year 2018. Such imagery is collected from the North East Combined Authority (NECA) Travel and Transport Data, Newcastle upon Tyne, UK. Results show that the fine-tuned MobileNet model with 98.2<span class="thinspace"></span>% precision, 58.5<span class="thinspace"></span>% recall and 73.4<span class="thinspace"></span>% harmonic mean could potentially be used for a real time traffic monitoring application with big data, due to its fast performance. Compared to MobileNet, the fine-tuned Faster region proposal R-CNN model, providing a better harmonic mean (80.4<span class="thinspace"></span>%), recall (68.8<span class="thinspace"></span>%) and more accurate estimations of car units, could be used for traffic analysis applications that demand higher accuracy than speed. This research ultimately exploits machine learning alogrithms for a wider understanding of traffic congestion and disruption under social events and extreme weather conditions.</p>

scholarly journals Assessment of Changes in Toll Fares in Conditions of Increased Traffic Load

2021 ◽  
Vol 18 (5) ◽  
pp. 4-13
Author(s):  
A. U. Talavirya ◽  
M. B. Laskin
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
High Speed ◽  
Discrete Event ◽  
Flow Analysis ◽  
Traffic Load ◽  
Intelligent Transport System ◽  
Toll Road ◽  
Road Projects ◽  
Toll Collection

The purpose of the study is to assess changes of toll fares used on toll collection points. When toll road is operating in an urban environment, the operator is inevitably faced with the need to adapt intelligent transport system to the conditions of an ever-increasing volume and changing composition of the traffic. Such changes have a direct impact on the capacity of the toll road, in particular at toll collection points. The conducted research is aimed at analyzing the method of reducing the traffic load at the toll collection points during peak hours by making changes to the toll fares aimed at uniform distribution of traffic flow throughout the day. As an example, a toll collection point on the main road direction of the Western High-Speed Diameter toll road was chosen.Materials and methods. A discrete-event simulation model developed in the AnyLogic software was used to assess the quality of operation and throughput of the toll collection point. The software has a sufficient level of detail to reproduce the operation of the toll collection system, and allows managing all the necessary parameters of the system and traffic flow. Analysis of the data obtained from the simulated model experiments was carried out using the statistical package R. Results. As part of the study, the operational characteristics of the toll collection point, in particular its threshold capacity, were determined, and, if it was exceeded, the length of the emerging queue was determined. Taking into account the operator’s risks arising from the formation of a traffic congestion, an approach was proposed to change the toll fare policy of the toll road by using a more flexible fares based on dividing the day time fare into several time intervals and using increasing coefficients for toll fare when paying for travel during peak hours. Using the example of toll booth of the Western High-Speed Diameter, the increasing coefficients of the cost of travel at a rush hour were considered, and the risks of reducing the operator’s income from toll collection were assessed.Conclusion. Based on the results obtained, an assessment of the effectiveness of the application of measures to change the existing toll fare policy, aimed at optimizing the traffic flow of a toll road, can be carried out. In addition, such an analysis can be used to assess the investment attractiveness of a project, develop a toll fare policy, increase income and other similar tasks. Further research can be aimed at increasing the economic indicators of toll road projects, and developing additional mathematical tools used in the formation of toll fare policy.

scholarly journals Traffic signal coordination control along oversaturated two-way arterials

2020 ◽  
Vol 6 ◽  
pp. e319
Author(s):  
Haitao Xu ◽  
Zuozhang Zhuo ◽  
Jing Chen ◽  
Xujian Fang
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Control Method ◽  
Traffic Signal ◽  
Coordination Control ◽  
Minimization Method ◽  
Traffic Condition ◽  
Traffic Demand ◽  
Signal Coordination ◽  
Arterial Coordination

As an effective method to alleviate traffic congestion, traffic signal coordination control has been applied in many cities to manage queues and to regulate traffic flow under oversaturated traffic condition. However, the previous methods are usually based on two hypotheses. One is that traffic demand is constant. The other assumes that the velocity of vehicle is immutable when entering the downstream section. In the paper, we develop a novel traffic coordination control method to control the traffic flow along oversaturated two-way arterials without both these hypotheses. The method includes two modules: intersection coordination control and arterial coordination control. The green time plan for all intersections can be obtained by the module of intersection coordination control. The module of arterial coordination control can optimize offset plan for all intersections along oversaturated two-way arterials. The experiment results verify that the proposed method can effectively control the queue length under the oversaturated traffic state. In addition, the delay in this method can be decreased by 5.4% compared with the existing delay minimization method and 13.6% compared with the traffic coordination control method without offset optimization. Finally, the proposed method can balance the delay level of different links along oversaturated arterial, which can directly reflect the efficiency of the proposed method on the traffic coordination control under oversaturated traffic condition.

scholarly journals The Necessity for a Sustainable Transport System in Beirut: The Case Study of Corniche El Mazraa Arterial

2017 ◽  
Vol 2 (4) ◽  
pp. 10
Author(s):  
Najib Nicolas Gerges ◽  
Mazen Omran ◽  
Mohammad Saad
Keyword(s):  
Transport System ◽  
Traffic Congestion ◽  
Capital City ◽  
Mitigation Measures ◽  
Sustainable Transport ◽  
Traffic Condition ◽  
Public Transport System ◽  
Traffic Conditions ◽  
The City

Corniche El Mazraa Road, one of the major arterial of Beirut – the capital city of Lebanon – is characterized by severe traffic congestion spreading over extended peak periods during the day.  This is jeopardizing the transport system risking of halting the functionality of the city in addition to economic and environmental losses.  The authors examined a number of mitigation measures to improve the traffic condition along Corniche El Mazraa Road.  The only solution that could result in tangible improvements in the traffic conditions, in such an urban dense environment, is the introduction of a reliable public transport system.        

A modified lattice model of traffic flow with the consideration of the downstream traffic condition

2019 ◽  
Vol 33 (02) ◽  
pp. 1950008 ◽  
Author(s):  
Chenqiang Zhu ◽  
Shuai Ling ◽  
Shiquan Zhong ◽  
Lishan Liu
Keyword(s):  
Traffic Flow ◽  
Lattice Model ◽  
Traffic Congestion ◽  
Density Wave ◽  
Modern Society ◽  
Microscopic Model ◽  
Macroscopic Model ◽  
Traffic Condition ◽  
Flow Models ◽  
Traffic Pattern

Traffic congestion has attracted considerable attention in modern society. Many researchers have proposed tremendous traffic flow models. These models can be divided into microscopic model, mesoscopic model and macroscopic model. With the progress of technology, it is possible to get the information of the preceding vehicles, i.e. the downstream traffic condition. Drivers can adjust their driving behaviors according to the downstream condition. This mechanism has been considered in microscopic model, and it is found that this mechanism can not only stabilize the traffic, but also bring about some new phenomena, such as synchronized traffic pattern. In the macroscopic model, what will the traffic flow be after considering the mechanism? In this paper, a term describing the downstream traffic condition is added in Nagatani’s single-lane lattice model. Through theoretical study and numerical simulation, it can be found that traffic is more stable when the downstream traffic condition is considered. Besides, the modified model can reproduce the soliton wave, kink wave properly. Moreover, the amplitude and frequency of density wave with different influence forms of the front lattices on the current lattice are almost the same as found to reflect the different influence forms do not have significant effect on the stability.

scholarly journals Traffic management of Udayana University Sudirman campus intersection using Vissim software

2019 ◽  
Vol 276 ◽  
pp. 03006
Author(s):  
Putu Alit Suthanaya ◽  
Ngurah Upadiana
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Signal Timing ◽  
Data Traffic ◽  
University Campus ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Traffic Flow Management ◽  
The City

The city of Denpasar is the capital of Bali Province, as well as the centre of various activities including government offices, hospitals, schools/ universities, trade and services, as well as tourism. Traffic congestion in the city of Denpasar is increasing from year to year, especially at the point of the intersection node, such as at the signalised intersection of Udayana University Sudirman Campus. The high trip attraction to Udayana University Campus has exacerbated the congestion of the intersection. The purpose of this study was to examine an alternative to managing the traffic flow using the Vissim software. The required data included the intersection geometric data, traffic volume and signal timing. The calculation of the intersection’s performance was conducted based on the Indonesian Highway Capacity Manual (IHCM). The simulation of the traffic flow management was conducted with the help of the Vissim software. The results of the performance analysis of the intersection conduced using Vissim Software indicated that the application of Vissim software was valid. The traffic management proposed has reduced both queue length and delay time.

Sign in / Sign up

Export Citation Format

Share Document