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

Author(s):  
Tsutomu Tsuboi

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.

2021 ◽  
Author(s):  
Tsutomu Tsuboi

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.


Author(s):  
Mark R. Virkler ◽  
Rajesh Balasubramanian

Trails shared by hikers, bicyclists, and joggers present the unusual traffic flow situation of a facility serving three classes of users with distinctly different flow characteristics. Data on typical trail volumes are summarized. A procedure developed by Botma to describe quality of flow on shared pedestrian/bicycle paths is then discussed. Data from two sites, the MKT Trail in Columbia, Missouri, and a riverside trail in Brisbane, Australia, were collected to describe speed and passing time characteristics on shared trails. The frequency of desired overtakings (passes) and potential conflicts on trails are estimated based on measured speeds and passing times using basic relationships of traffic flow theory. These estimates are then compared with measured values of overtaking frequency and delayed overtakings. The estimates for passing demand and potential conflicts were higher than the measured values for hikers passing hikers and joggers passing hikers. However, estimates for bike passing bike, bike passing jogger, bike passing hiker, and jogger passing jogger were found to be similar to the measured values. The results support the Botma framework for describing quality of flow on shared pedestrian/bicycle paths.


2012 ◽  
Vol 253-255 ◽  
pp. 1976-1981
Author(s):  
Hao Hua Du ◽  
Meng Pan

The Beijing government is taking measures to remit traffic congestions by restriction based on the last digit on a license plate, which influences the characteristic of traffic flow. This paper first builds a model about traffic flow characteristic, including vehicle velocity, roadway reliability and traffic congestion recovery time. The paper also researches different pattern of vehicle velocity before and after the rail number restriction, analyzes the changing trend of road-mobility reliability with traffic demands, and calculates the pattern of traffic congestion recovery time between the restrictions. The result indicates that when traffic flow’s density is large, the vehicle’s velocity is increased to 180% of the original after the restriction; and the recovery time from congestion to smooth is decreased to 75.8% of the original; after taken the restriction measures, the road unblocked reliability in Peak hours is increased, and the traffic condition ameliorate evidently.


Pondasi ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 30
Author(s):  
Farhan Sholahudin ◽  
Abdul Rochim

Jendral Sudirman road is one of the streets in Batang Regency which has function as primary artery and it has main access to connect vital locations. It makes Jendral Sudirman road has several transportation problems. In the planning, design and establishment of various transportation system policies, traffic flow theory of movement has very important role. To facilitate the application of traffic flow theory of movement used a mathematical approach which was used to analyze the phenomenon that took place in the traffic flow. One of approach ways to comprehend the traffic behavior was by verifying it into mathematical and graphics relationships with observing to the relationship among the speed (S), density (D) and volume (V) traffic.The objective of this study was to determine traffic flow characteristics on Jendral Sudirman Road consisting of three (3) main parameters such as volume, speed and density by using mathematical models included Greenshield, Greenberg and Underwood Model. In addition, this study also aimed to determine the results of a comparison of one of the chosen model with the road capacity calculation based on MKJI 1997.Based on the data analysis  by using Greenshield model, it was known that the characteristics of the traffic on Jendral Sudirman road values obtained free flow speed (Sf)= 45.53 km/h, density jam (Dj)= 38.31 unit/km and maximum volume or road capacity(Vmax)= 1774.25 unit/hour. The estimation result of model was calculated using Greenshield model and estimation capacity calculations of MKJI 1997 had a difference about 15.49%. This could be evidence that generalize the use of manual book as MKJI 1997 in estimating the value of a certain road location capacity without researching driver behavior, vehicle characteristics and the environment of the road would be at risk in the capacity estimation results obtained. Therefore, the use of existing guidelines such as the 1997 MKJI needs carefulness in assessing the environmental condition of the road and traffic characteristics.Keywords : TrafficCharacteristic, Volume, Speed, Density, Greenshield, Greenberg, Underwood


2021 ◽  
Vol 14 (1) ◽  
pp. 14
Author(s):  
Junyan Han ◽  
Huili Shi ◽  
Longfei Chen ◽  
Hao Li ◽  
Xiaoyuan Wang

The application of vehicle-to-everything (V2X) technology has resulted in the traffic environment being different from how it was in the past. In the V2X environment, the information perception ability of the driver–vehicle unit is greatly enhanced. With V2X technology, the driver–vehicle unit can obtain a massive amount of traffic information and is able to form a connection and interaction relationship between multiple vehicles and themselves. In the traditional car-following models, only the dual-vehicle interaction relationship between the object vehicle and its preceding vehicle was considered, making these models unable to be employed to describe the car-following behavior in the V2X environment. As one of the core components of traffic flow theory, research on car-following behavior needs to be further developed. First, the development process of the traditional car-following models is briefly reviewed. Second, previous research on the impacts of V2X technology, car-following models in the V2X environment, and the applications of these models, such as the calibration of the model parameters, the analysis of traffic flow characteristics, and the methods that are used to estimate a vehicle’s energy consumption and emissions, are comprehensively reviewed. Finally, the achievements and shortcomings of these studies along with trends that require further exploration are discussed. The results that were determined here can provide a reference for the further development of traffic flow theory, personalized advanced driving assistance systems, and anthropopathic autonomous-driving vehicles.


Author(s):  
Michael Eichler

Rail transit agencies have greatly advanced the ability to measure delays to rail system customers and have developed key performance indicators for rail systems based on customer travel time. The ability for operators to link these customer delay metrics to root causes would provide great benefit to agencies, from incident response improvement to capital program prioritization. This paper describes a method for linking late train arrivals to both late customers and incident tickets. Inspired by traffic flow theory, the method identifies impact zones in time and space that can then be linked to a potential root cause by way of incident tickets. This algorithm is currently under development by the Washington Metropolitan Area Transit Authority’s Office of Planning, and its outputs are being integrated into a variety of operations- and capital-related business processes.


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