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Proceedings ArticleDOI

An architecture of smart transportation system using modified RR algorithm and VANET

TL;DR: A Vehicular Ad-hoc Network (VANET) architecture for real time traffic information exchange from one traffic signal to another traffic signal via vehicle is proposed and can create a smart, decentralized vehicle transportation system for a mega city.
Abstract: Efficient traffic control system now a day's getting importance from different perspectives like number of the vehicle density, time management and less proportionate road lane increase. Different factors engross under various researchers, industries, improving the road transportation system. Major obstacle for vehicle on the road is the junction and traffic clearance at mixed scenarios at the junctions. In this paper, we have proposed a Vehicular Ad-hoc Network (VANET) architecture for real time traffic information exchange from one traffic signal to another traffic signal via vehicle. A probabilistic function also involved to capture future prediction of traffic count at one step ahead of the current traffic signal. As per the traffic information received time to time a modified Round Robin algorithm is introduced with different and segmented quantum time. In our approach, neither complex computations are required, like image processing nor costly infrastructure is required, like GPS systems and centralized management. In this way we can create a smart, decentralized vehicle transportation system for a mega city.
Citations
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Journal Article
TL;DR: Calculations are developed and examined to reduce the entire quantity of Wireless access points as well as their locations in almost any given atmosphere while with the throughput needs and the necessity to ensure every place in the area can achieve a minimum of k APs.
Abstract: More particularly, calculations are developed and examined to reduce the entire quantity of Wireless access points as well as their locations in almost any given atmosphere while with the throughput needs and the necessity to ensure every place in the area can achieve a minimum of k APs. This paper concentrates on using Wireless for interacting with and localizing the robot. We've carried out thorough studies of Wireless signal propagation qualities both in indoor and outside conditions, which forms the foundation for Wireless AP deployment and communication to be able to augment how human operators communicate with this atmosphere, a mobile automatic platform is developed. Gas and oil refineries could be a harmful atmosphere for various reasons, including heat, toxic gasses, and unpredicted catastrophic failures. When multiple Wireless APs are close together, there's a possible for interference. A graph-coloring heuristic can be used to find out AP funnel allocation. Additionally, Wireless fingerprinting based localization is developed. All of the calculations implemented are examined in real life situations using the robot developed and answers are promising. For example, within the gas and oil industry, during inspection, maintenance, or repair of facilities inside a refinery, people might be uncovered to seriously high temps to have a long time, to toxic gasses including methane and H2S, and also to unpredicted catastrophic failures.

455 citations

References
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Proceedings ArticleDOI
06 Mar 2014
TL;DR: The evolution from Intelligent Vehicle Grid to Autonomous, Internet-connected Vehicles, and Vehicular Cloud is discussed, the equivalent of Internet cloud for vehicles, providing all the services required by the autonomous vehicles.
Abstract: Traditionally, the vehicle has been the extension of the man's ambulatory system, docile to the driver's commands. Recent advances in communications, controls and embedded systems have changed this model, paving the way to the Intelligent Vehicle Grid. The car is now a formidable sensor platform, absorbing information from the environment (and from other cars) and feeding it to drivers and infrastructure to assist in safe navigation, pollution control and traffic management. The next step in this evolution is just around the corner: the Internet of Autonomous Vehicles. Pioneered by the Google car, the Internet of Vehicles will be a distributed transport fabric capable to make its own decisions about driving customers to their destinations. Like other important instantiations of the Internet of Things (e.g., the smart building), the Internet of Vehicles will have communications, storage, intelligence, and learning capabilities to anticipate the customers' intentions. The concept that will help transition to the Internet of Vehicles is the Vehicular Cloud, the equivalent of Internet cloud for vehicles, providing all the services required by the autonomous vehicles. In this article, we discuss the evolution from Intelligent Vehicle Grid to Autonomous, Internet-connected Vehicles, and Vehicular Cloud.

610 citations

Journal Article
TL;DR: Calculations are developed and examined to reduce the entire quantity of Wireless access points as well as their locations in almost any given atmosphere while with the throughput needs and the necessity to ensure every place in the area can achieve a minimum of k APs.
Abstract: More particularly, calculations are developed and examined to reduce the entire quantity of Wireless access points as well as their locations in almost any given atmosphere while with the throughput needs and the necessity to ensure every place in the area can achieve a minimum of k APs. This paper concentrates on using Wireless for interacting with and localizing the robot. We've carried out thorough studies of Wireless signal propagation qualities both in indoor and outside conditions, which forms the foundation for Wireless AP deployment and communication to be able to augment how human operators communicate with this atmosphere, a mobile automatic platform is developed. Gas and oil refineries could be a harmful atmosphere for various reasons, including heat, toxic gasses, and unpredicted catastrophic failures. When multiple Wireless APs are close together, there's a possible for interference. A graph-coloring heuristic can be used to find out AP funnel allocation. Additionally, Wireless fingerprinting based localization is developed. All of the calculations implemented are examined in real life situations using the robot developed and answers are promising. For example, within the gas and oil industry, during inspection, maintenance, or repair of facilities inside a refinery, people might be uncovered to seriously high temps to have a long time, to toxic gasses including methane and H2S, and also to unpredicted catastrophic failures.

455 citations


"An architecture of smart transporta..." refers background or methods in this paper

  • ...[2] M. Gerla, E. Lee, G. Pau and U. Lee, “Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds” IEEE world forum on Internet of Things 2014 [3] S. Roy, S. Bandyopadhyay, M. Das, S. Batabyal, and S. Pal, “Real time traffic congestion detection and management using Active RFID and GSM technology”- 2010 [4] N. Akhtar, S. C. Ergen and O. Ozkasap “Analysis of Distributed Algorithms for Density Estimation in VANETs (Poster)” IEEE Vehicular Networking Conference (VNC)-2012....

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  • ...A Vehicular Ad-hoc Network (VANET) [1, 2] is an ad-hoc wireless communication system comprises of Vehicle to Vehicle (V2V) or Vehicle to Infrastructure (V2I) [3, 4]....

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  • ...The IEEE 802.11p [7], also known as dedicated Short-Range Communication (DSRC) [8] intended for VANET....

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  • ...To establish VANET communication AODV or 802.11p CSMA techniques are adopted....

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  • ...ATL algorithm sets the sequence phases of each traffic light cycle and the time of each phase, according to the real-time traffic characteristics of competing traffic flows in the same manner as the ITLC algorithm [1, 2]....

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Journal ArticleDOI
TL;DR: The ITLC algorithm reduces, at each isolated traffic light, the queuing delay and increases the traffic fluency by 30% compared with the online algorithm (OAF) traffic light scheduling algorithm, and the ATL controlling algorithm decreases the average delay at each traffic light by 10%.
Abstract: In this paper, we propose an intelligent traffic light controlling (ITLC) algorithm. ITLC is intended to schedule the phases of each isolated traffic light efficiently. This algorithm considers the real-time traffic characteristics of the competing traffic flows at the signalized road intersection. Moreover, we have adopted the ITLC algorithm to design a traffic scheduling algorithm for an arterial street scenario; we have thus proposed an arterial traffic light (ATL) controlling algorithm. In the ATL controlling algorithm, the intelligent traffic lights installed at each road intersection coordinate with each other to generate an efficient traffic schedule for the entire road network. We report on the performance of ITLC and ATL algorithms for several scenarios using NS-2. From the experimental results, we infer that the ITLC algorithm reduces, at each isolated traffic light, the queuing delay and increases the traffic fluency by 30% compared with the online algorithm (OAF) traffic light scheduling algorithm. The latter algorithm achieved the best performance when compared with the OAF traffic light scheduling algorithm. On the other hand, the ATL controlling algorithm increases the traffic fluency of traveling vehicles at arterial street coordinations by 70% more than the random and separate traffic light scheduling system. Furthermore, compared with the previously introduced traffic scheduling ART-SYS, the ATL controlling algorithm decreases the average delay at each traffic light by 10%.

99 citations

Journal ArticleDOI
TL;DR: A dynamic and efficient traffic light scheduling algorithm that adjusts the best green phase time of each traffic flow, based on the real-time traffic distribution around the signalized road intersection, to consider the presence of emergency vehicles.
Abstract: Traffic lights have been installed throughout road networks to control competing traffic flows at road intersections. These traffic lights are primarily intended to enhance vehicle safety while crossing road intersections, by scheduling conflicting traffic flows. However, traffic lights decrease vehicles' efficiency over road networks. This reduction occurs because vehicles must wait for the green phase of the traffic light to pass through the intersection. The reduction in traffic efficiency becomes more severe in the presence of emergency vehicles. Emergency vehicles always take priority over all other vehicles when proceeding through any signalized road intersection, even during the red phase of the traffic light. Inexperienced or careless drivers may cause an accident if they take inappropriate action during these scenarios. In this paper, we aim to design a dynamic and efficient traffic light scheduling algorithm that adjusts the best green phase time of each traffic flow, based on the real-time traffic distribution around the signalized road intersection. This proposed algorithm has also considered the presence of emergency vehicles, allowing them to pass through the signalized intersection as soon as possible. The phases of each traffic light are set to allow any emergency vehicle approaching the signalized intersection to pass smoothly. Furthermore, scenarios in which multiple emergency vehicles approach the signalized intersection have been investigated to select the most efficient and suitable schedule. Finally, an extensive set of experiments have been utilized to evaluate the performance of the proposed algorithm.

70 citations


"An architecture of smart transporta..." refers background in this paper

  • ...Most of the researchers find GPS [3, 5] as one the solution to discover and disseminate traffic congestion statistics to different traffic signals....

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  • ...To apply GPS based Intelligent Traffic Control (ITC) [6, 7] system, it requires high speed internet connectivity and also cost effective for infrastructure set up....

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Proceedings ArticleDOI
20 Oct 2014
TL;DR: This work introduces an Intelligent Traffic Light Controlling (ITLC) algorithm, which considers the real-time traffic characteristics of each traffic flow that intends to cross the road intersection of interest, whilst scheduling the time phases of every traffic light.
Abstract: Traffic signals are essential to guarantee safe driving at road intersections. However, they disturb and reduce the traffic fluency due to the queue delay at each traffic flow. In this work, we introduce an Intelligent Traffic Light Controlling (ITLC) algorithm. This algorithm considers the real-time traffic characteristics of each traffic flow that intends to cross the road intersection of interest, whilst scheduling the time phases of each traffic light. The introduced algorithm aims at increasing the traffic fluency by decreasing the waiting time of traveling vehicles at the signalized road intersections. Moreover, it aims to increase the number of vehicles crossing the road intersection per second. We report on the performance of ITLC and we compare ITLC to previous algorithms in this field for different simulated scenarios. From the experimental results, we infer that ITLC reduces the queuing delay and increases the traffic fluency by 25% compared to previous traffic light signal schedules. Furthermore, ITLC increases the throughput of each signalized road intersection by 30%.

38 citations


"An architecture of smart transporta..." refers background in this paper

  • ...In image processing based technique high cost infrastructure as well as the high computational power required [9, 10]....

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