scholarly journals Effective Traffic Management System By Using Hydraulic Footpath

2020 ◽  
pp. 305-313
Author(s):  
Chetan N. Gawali ◽  
Amit R. Bhongade ◽  
Amit M. Ramteke ◽  
Nilesh G. Landge ◽  
Prafull P. Shende Author ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Queue Length ◽  
Traffic Management ◽  
Signalized Intersection ◽  
Survey Method ◽  
Traffic Data ◽  
Congested Traffic ◽  
Hydraulic Machine ◽  
Metropolitan Cities ◽  
Traffic Management System

Vehicular traffic is the major problem in metropolitan cities because traffic congestion is increasing rapidly at signalized intersections; it results in chronic situation in dense downtown areas. Traffic congestion is also major problem for smooth transportation. So, here we adopted a mechanism which minimizes traffic problems and that mechanism is called hydraulic machine. Hydraulic machine is the mechanisms which lift the things up and down at a particular height. Our purpose is to create a mechanism which lifts the footpath at signalized intersection up and down when there is more traffic at signalized intersection. We studied about the various congested signalized intersection areas and then selected Bhim Square for our study. We collected the peak hour traffic data using videography survey method and categorized the vehicles into different classes. Calculate the queue length at bhim square using normal footpath and again calculate the queue length for same traffic data by using hydraulic foothpath. On comparing the reduction of queue length percentage we observed that hydraulic footpath is more preferable than the normal footpath for congested traffic at signalized intersection, because it reduce approximate 60% queue length. Also, hydraulic footpath gives extra space at signalized intersection and it helps to increase service volume.

scholarly journals IoT based Road Traffic Management System for Metropolitan Cities

2020 ◽  
Vol 8 (12s3) ◽  
pp. 75-79
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Road Traffic ◽  
Traffic Density ◽  
The Road ◽  
Metropolitan Cities ◽  
Traffic Management System ◽  
Road Traffic Congestion ◽  
Jamming Problems

Many cities in the world face jamming problems in road traffic, particularly in metropolitan cities. At present the traffic controlling systems aresemiautomatic in nature. With the introduction of IoT in road traffic management systems, it revolutionizes the field of road traffic management system and improves the road traffic congestion problem.This paper proposes an IoT-based road traffic management system for metropolitan cities. The proposed system provides the hassle free movement of the vehicles to avoid inconvenience and reroute the higher priority vehicles. Experimental results show that the proposed system gives higher success rate for the low traffic density in the lane.

scholarly journals Evaluation of the Applicability of the Ramp Metering to a Freeway Using Microsimulation: A Case Study in Riyadh, Saudi Arabia

2019 ◽  
Vol 9 (20) ◽  
pp. 4406
Author(s):  
Seongkwan Lee ◽  
Amr Shokri ◽  
Abdullah Al-Mansour
Keyword(s):  
Saudi Arabia ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Fixed Time ◽  
Ramp Metering ◽  
Traffic Data ◽  
Geometrical Data ◽  
Overall Performance ◽  
Length Reduction

Riyadh, the capital of Saudi Arabia, suffers from traffic congestion like other modern societies, during peak hours but also all day long, even without any incidents. To solve this horrible traffic congestion problem, various efforts have been made from the Active Traffic Management (ATM) aspect. Ramp metering (RM) is one of the representative methods of the ATM and has already proven its value in many locations worldwide. Unfortunately, RM has not yet been fully implemented in Saudi Arabia. This research aimed to assess the applicability of RM to a freeway in Riyadh using microsimulation. The widely known software VISSIM (PTV Planung Transport Verkehr AG, Germany, 1992) was chosen to compare the performances of various RM operating scenarios, such as fixedtime operation with different sub-scenarios and traffic-responsive operation using ALINEA (Asservissement Lineaire d’entree Autoroutiere) algorithm. For the simulations, this study targeted Makkah Road, one of the major freeways in Riyadh, and collected geometrical data and traffic data from that freeway. Analysis of four main scenarios and eight sub-scenarios, proved that overall performance of the fixed-time RM operation is generally good. The sub-scenario 4V3R of the fixed-time RM operation was the best in average queue length reduction. However, the traffic-responsive operation was best in average speed improvement.

scholarly journals Dynamic Traffic Light Control

2020 ◽  
Vol 8 (6) ◽  
pp. 3228-3231
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Red Light ◽  
Traffic Monitoring ◽  
Intelligent Transport System ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Lights ◽  
Traffic Light Control ◽  
Traffic Management System

Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at intersections and junctions has Traffic Lights with Fixed durations which increase the unnecessary staying time which intern harms the environment. An Adaptive traffic light control is implemented using SUMO simulator, that changes the duration of Green and Red light according to the traffic flow. This is an effective and efficient way to reduce the Traffic congestion. The traffic congestion is determined by taking the object count using deep learning approach (Convolutional Neural Network).

scholarly journals Traffic Efficiency Models for Urban Traffic Management Using Mobile Crowd Sensing: A Survey

2021 ◽  
Vol 13 (23) ◽  
pp. 13068
Author(s):  
Akbar Ali ◽  
Nasir Ayub ◽  
Muhammad Shiraz ◽  
Niamat Ullah ◽  
Abdullah Gani ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Low Cost ◽  
Urban Traffic ◽  
Traffic Data ◽  
Mobile Crowdsensing ◽  
Traffic Efficiency ◽  
Crowd Sensing ◽  
Management Schemes ◽  
Mobile Crowd

The population is increasing rapidly, due to which the number of vehicles has increased, but the transportation system has not yet developed as development occurred in technologies. Currently, the lowest capacity and old infrastructure of roads do not support the amount of vehicles flow which cause traffic congestion. The purpose of this survey is to present the literature and propose such a realistic traffic efficiency model to collect vehicular traffic data without roadside sensor deployment and manage traffic dynamically. Today’s urban traffic congestion is one of the core problems to be solved by such a traffic management scheme. Due to traffic congestion, static control systems may stop emergency vehicles during congestion. In daily routine, there are two-time slots in which the traffic is at peak level, which causes traffic congestion to occur in an urban transportation environment. Traffic congestion mostly occurs in peak hours from 8 a.m. to 10 a.m. when people go to offices and students go to educational institutes and when they come back home from 4 p.m. to 8 p.m. The main purpose of this survey is to provide a taxonomy of different traffic management schemes for avoiding traffic congestion. The available literature categorized and classified traffic congestion in urban areas by devising a taxonomy based on the model type, sensor technology, data gathering techniques, selected road infrastructure, traffic flow model, and result verification approaches. Consider the existing urban traffic management schemes to avoid congestion and to provide an alternate path, and lay the foundation for further research based on the IoT using a Mobile crowd sensing-based traffic congestion control model. Mobile crowdsensing has attracted increasing attention in traffic prediction. In mobile crowdsensing, the vehicular traffic data are collected at a very low cost without any special sensor network infrastructure deployment. Mobile crowdsensing is very popular because it can transmit information faster, collect vehicle traffic data at a very low cost by using motorists’ smartphone or GPS vehicular embedded sensor, and it is easy to install, requires no special network deployment, has less maintenance, is compact, and is cheaper compared to other network options.

Research of Intelligent Traffic Management System

2013 ◽  
Vol 340 ◽  
pp. 662-664
Author(s):  
Dan Yu Fang
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Living Standards ◽  
Information Network ◽  
Network Technology ◽  
Transportation Management ◽  
Transportation Demand ◽  
The Status ◽  
Traffic Management System

With the growing economic level and the continuous development of information network technology, as well as the continuous improvement of people's living standards, transportation demand gradually increased. Due to the current transportation system in China has been facing the problem of traffic congestion and inefficient, and cause serious pollution and energy shortages, and intelligent traffic management system is the key to solve these problems, the modern information network technology and transportation combined. This article gives a brief introduction to the development and study of the status quo of China's intelligent transportation management system, intelligent traffic management system architecture of CORBA and CORBA, and described the implementation of an intelligent traffic management system based on CORBA.

scholarly journals Pengaruh Kebijakan ““4 in 1”” terhadap Kinerja Persimpangan Jl Dr. Djunjunan – Tol Pasteur dengan Menggunakan Simulasi Mikro

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Andrean Maulana
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management Strategies ◽  
Maximum Length ◽  
City Government ◽  
Signalized Intersection ◽  
Passenger Cars ◽  
Mean Delay ◽  
Before And After ◽  
Traffic Signal Timing

ABSTRAKKebijakan “4 in 1” diterapkan sebagai salah satu solusi untuk permasalahan kemacetan di kota Bandung. Adapun tujuan dari penerapan kebijakan “4 in 1” adalah meningkatkan kinerja persimpangan Tol Pasteur – Jl. Dr Djunjunan atau Simpang Pasteur. Untuk analisis kinerja Simpang Pasteur, digunakan model simulasi mikro dengan perangkat Paramics. Analisis dilakukan terhadap dua kondisi yaitu kondisi dengan kebijakan “4 in 1” dan kondisi tanpa kebijakan “4 in 1”. Terjadi pengurangan panjang antrian maksimum sebesar 148,79 meter dan tundaan rata-rata simpang sebesar 7,6 detik. Lalu, dilakukan pengubahan waktu sinyal untuk meningkatkan kinerja simpang Pasteur . Waktu siklus yang didapat sebesar 52 detik, dengan rincian waktu hijau fase satu dan dua sebesar 15 detik dan fase tiga sebesar 14 detik. Dengan waktu siklus terbaik ini dapat menghasilkan pengurangan panjang antrian maksimum sebesar 239 meter dan tundaan rata-rata simpang sebesar 46 detik.Kata kunci: simulasi, mikro, antrian, tundaan, sinyal  ABSTRACTBandung city government recently applied “4 in 1” strategy as one of city's traffic management strategies to resolve traffic congestion that occurs at many city's main streets. By applying that rule, hopefully it will reduces, even eliminates traffic congestion that usually occurs at Dr. Djunjunan street during peak hours. Since the program prohibits any passenger cars that carry less than 4 passengers to cross Dr. Djunjunan street, it will affects every street at Pasteur signalized intersection and the intersection itself. Therefore, this study was conducted to analyze Pasteur signalized intersection's performance before and after the application of “4 in 1” strategy. The analysis was conducted using micro-simulation model that generated from Paramics software.The analysis was conducted in two condition, with or without “4 in 1” strategy. Results from analysis indicates that there will be 148,79 meter difference of maximum length of queue and 7,6 seconds difference of mean delay time between those two condition at Pasteur signalized intersection. The analysis also conducted by changing traffic signal timing in order to obtain better performance of Pasteur signalized intersection. Results from analysis indicates that there will be 239 meter reduction of maximum length of queue and 46 second of mean delay time.Keywords: simulation, micro, queue, delay, signal.

scholarly journals Smart Alarm Traffic Management System for the Major Road to Isolation Hospital during the Covid-19 Pandemic in Port Said City

2021 ◽  
Vol 10 (1) ◽  
pp. 282-288
Keyword(s):  
Quality Of Life ◽  
Traffic Management ◽  
Respiratory Symptoms ◽  
Major Road ◽  
Smart Transportation ◽  
Congested Traffic ◽  
Traffic Management System ◽  
Smart Traffic ◽  
Port Said

Transportation is an important feature that affects the quality of life. Huge increase in population, modernization in all aspects of life, and cities expansion lead to a more congested traffic that may be acceptable for in-emerging trips but enormous for emergency trips, especially for COVID 19 patients with severe respiratory symptoms. Smart transportation techniques offer solutions to the congestion problemsfor different modes of transportation and traffic management. In this paper, a smart traffic solution to the congestion problem in the major road to isolation hospital in Port Said City is presented.

scholarly journals Intelligent Traffic Management System using Bollards

2019 ◽  
Vol 9 (2) ◽  
pp. 4943-4945
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Public Access ◽  
Traffic Light ◽  
Traffic Lights ◽  
Working Environments ◽  
The People ◽  
Metropolitan Cities ◽  
Traffic Scenario ◽  
Traffic Management System

Nowadays traffic in metropolitan cities is becoming a challenging task and the violation of traffic rules leads to fatal accidents. The commuters are also facing lot of delay in their destination when they caught up in traffic which makes them unstable in their working environments. The proposed bollards based intelligent traffic management system determines the traffic scenario using sensors deployed in various locations and thereby regulating the traffic thereby providing chaos free travel. The installation of the bollard system, including traffic lights and communication pillars, is one among the intelligent traffic management system. This system is working in combination with the traffic light control, bollards to regulate the traffic. This system can be used in restricted areas, crowded malls, public access locations, and tourist locations also to regulate the traffic and movement of the people.

Dynamic Routing of Emergency Vehicles with Traffic Management System and Implementation on CupCarbon for Smart Cities

2021 ◽  
Vol 9 (11) ◽  
pp. 1407-1412
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Smart Cities ◽  
Maximum Speed ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Emergency Vehicles ◽  
Traffic Management System ◽  
On The Road

The traffic congestion is one of the major problems in crowded cities, which causes people to spend hours on the road. In traffic congestion situations, finding alternate routes for emergency vehicles, which provides shortest travel time to nearby hospital is critically life-saving issue. In this paper, we propose a traffic management system and an algorithm for routing of an emergency vehicle. The algorithm uses distance between source and destination, maximum vehicle count, maximum speed, average speed, traffic light conditions on the roads, which are assumed to support vehicle-to-infrastructure (V2I) communication in 5G IoT network. Simulations are performed on CupCarbon IoT simulator platform for various test scenarios. The performance of the proposed emergency vehicle routing algorithm is compared against well known Link State algorithm. And, the results demonstrate the effectiveness of the proposed method.

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