Optimizing signal timing: an efficient way to handle traffic congestion in developing countries

Author(s):  
M.A.A. Bhuiyan ◽  
S.M. Rifaat ◽  
I.R. Khan ◽  
M.R.M. Khan
2020 ◽  
Vol 32 ◽  
pp. 02007
Author(s):  
Ashly Sara Roy ◽  
Merin Jose ◽  
Sreya Thomas ◽  
Shweta Dalvi ◽  
Manita Rajput

India and most of the developing countries have unplanned cities in which roads are narrow and unkempt. Due to increasing vehicular density, repair of roads and traffic rules violation, traffic congestion is increasing at an alarming rate. Delay in arrival of High Priority Vehicles (HPV) like ambulances and fire engines cause severe loss to life and property. Although most HPVs are equipped with sirens, it is not efficient to guarantee a clear road to HPVs due to its audibility range. Hence, we propose a system by which the vehicles near the traffic junction will be alerted about the oncoming of HPV much in advance of its arrival so that they can make way for the HPV. In this system, every HPV is provided with an active RFID tag. Few kilometers before the main signal, an active RFID reader would be placed which would detect the vehicle and send this information to the display screen placed near the traffic junction signal via LoRa wirelessly, starting to make way for the HPV. Therefore, this project proposes to streamline the traffic and allow HPV to pass easily.


2021 ◽  
Author(s):  
Sharareh Shadbakhsh

The increasing volume of traffic in cities has a significant effect on road traffic congestion and the travel time it takes for road users to reach their destinations. Coordinating traffic signals, which is a system of light that cascade in sequence where a platoon of vehicles can travel through a continuous series of green light without stopping, can improve the driver's experience significantly. This report covers the development of a coordinated traffic signal system along Wellington Street West from Church Street to Blue Jays Way Street as part of a City of Toronto signal coordination project. The objective of this study is to improve coordination through modification of signal timing plans while maintaining reasonably minimal impacts to the side street levels of service and delays. The overall goal is to reduced travel times, delays, number of stops and fuel consumption, resulting in public benefit.


2016 ◽  
Vol 14 (4) ◽  
Author(s):  
Azin Bahreini ◽  
Hamed Mirzaei ◽  
Mehdi Moeinaddini ◽  
Zohreh Asadi-Shekari ◽  
Muhammad Zaly Shah ◽  
...  

Although public transport is recommended to develop a sustainable transport system, the percentage of daily trips by public transport in Iran specifically in medium sized cities such as Kerman is very low. Currently, efforts are being made to indicate significant factors that prevent public transport usage in developed countries but few studies have been conducted in developing countries. Only a few studies have considered public transport usage in Iranian megacities and medium sized cities such as Kerman require more attention. Therefore, this study tries to identify effective factors that influence public transport usage in urban areas in developing countries like Iran and in medium sized cities like Kerman. In addition, this study tries to investigate various ways to increase public transport ridership. The people awareness regarding benefits of public transport usage is also tested in this study. This study uses questionnaire and observation to collect data. The descriptive analysis based on the collected data shows that most of the people are aware of public transport benefits. These benefits include environment protection, reduction in parking demand and traffic congestion, lower travel cost (compare with private vehicle), fewer mental stresses, more safety, and being more convenient. Although people are aware of public transport benefits, there are some issues that prevent them to use public transport properly. Insufficient information about public transport schedules, lack of attractive facilities and suitable waiting stations and inadequate reliability are examples of issues that discourage people to use public transport. The results show that some improvements such as providing suitable information about public transport schedules, considering comfortable facilities to increase attractiveness, improving waiting facilities and reliability can encourage people to use public transport.


2020 ◽  
Vol 4 (2) ◽  
pp. p53
Author(s):  
Yang Kaixi ◽  
Li Meiqi

This paper mainly aims at alleviating the traffic congestion on urban roads and analyzes the traffic at adjacent intersections. First, the paper briefly introduced the VISSIM model, and then selected the traffic situation at the intersection of Weibin road and Fengcheng first road and the intersection of Weibin road and Fengcheng second road in Weiyang district of Xi’an city as research objects to simulate. Fanally, on the premise of basic meet the actual conditions, the optimization of channelization and signal timing at the intersection reduces the maximum queue length and the average stopping times of vehicles, so that the traffic of the section can run efficiently and smoothly, and provides an effective experiment for the optimization of the intersection.


2021 ◽  
Author(s):  
Sharareh Shadbakhsh

The increasing volume of traffic in cities has a significant effect on road traffic congestion and the travel time it takes for road users to reach their destinations. Coordinating traffic signals, which is a system of light that cascade in sequence where a platoon of vehicles can travel through a continuous series of green light without stopping, can improve the driver's experience significantly. This report covers the development of a coordinated traffic signal system along Wellington Street West from Church Street to Blue Jays Way Street as part of a City of Toronto signal coordination project. The objective of this study is to improve coordination through modification of signal timing plans while maintaining reasonably minimal impacts to the side street levels of service and delays. The overall goal is to reduced travel times, delays, number of stops and fuel consumption, resulting in public benefit.


Urban Science ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 41 ◽  
Author(s):  
S.M. Labib ◽  
Hossain Mohiuddin ◽  
Irfan Mohammad Al Hasib ◽  
Shariful Hasnine Sabuj ◽  
Shrabanti Hira

A growing body of research has applied intelligent transportation technologies to reduce traffic congestion at signalized intersections. However, most of these studies have not considered the systematic integration of traffic data collection methods when simulating optimum signal timing. The present study developed a three-part system to create optimized variable signal timing profiles for a congested intersection in Dhaka, regulated by fixed-time traffic signals. Video footage of traffic from the studied intersection was analyzed using a computer vision tool that extracted traffic flow data. The data underwent a further data-mining process, resulting in greater than 90% data accuracy. The final data set was then analyzed by a local traffic expert. Two hybrid scenarios based on the data and the expert’s input were created and simulated at the micro level. The resultant, custom, variable timing profiles for the traffic signals yielded a 40% reduction in vehicle queue length, increases in average travel speed, and a significant overall reduction in traffic congestion.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jiawen Wang ◽  
Jiayu Hang ◽  
Xizhao Zhou

The intersection control and management can alleviate the traffic congestion caused by traffic incidents. Therefore, it becomes essential to develop a signal optimization method for intersections influenced by traffic incidents, which will be beneficial to prevent congestion spreading. In this paper, the proposed model is capable of maximizing the intersection throughput by comprehensively considering the queue length as the penalty value. The headway of leaving vehicles is assumed to follow the Cowan’s M3 headway distribution, where formulas for queue length can be derived based on gap acceptance theory. To satisfy the conditions for efficiently identifying feasible solutions in a short time, a heuristic algorithm (simulated annealing algorithm) is employed to solve the model. The numerical results can validate that the proposed method can solve the problem more efficiently and alleviate the intersection congestion caused by the incidents more desirably. When the incident occurs away from the intersection stop line, the impacts on intersection throughput will be gradually weakened. The proposed method is capable of improving the signalized intersection throughput while preventing the congestion from spreading to the upstream intersection.


2019 ◽  
Vol 18 (1) ◽  
pp. 44-57
Author(s):  
Hussaen Ali Hasan Kahachi

Traffic congestions is one of the main problems for many cities especially in newly urbanizing countries worldwide. The issue of traffic congestions has major impact not only on the planning of the city, but also on many aspects such as residence overall well-being. Governments often try to address this issue through a number of initiatives, most important of which is promoting public transport in order to reduce the dependency on private cars in the city. This research analyzed state-led public transportation initiatives impact on addressing traffic congestion in developing countries through a case study of the Greater Cairo Region in Egypt. The research specifically focused on two state-led public transportation programs, namely the Great Cairo Transport Authority (CTA) program to improve the existing public transport services in GCR and the GCR underground metro program during the 1990s to early 2010s. The research found that although these programs were successful in limiting the increase of privately owned cars and taxies in GCR, they did not decrease traffic congestions due to a number of issues including malpractice, political and administrative corruption, and rapid population growth and increased population densities that almost doubled in the period from early 1990s to early 2010s.


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