An Efficient And Economical Solution For Future Traffic Management System Using RFID
04 Mar 2016-pp 86
TL;DR: An innovative idea for traffic management system using radio frequency identification (RFID) tags and RFID Reader is described which has the ability to monitor and manage traffic as well as can be used to detect the collisions.
Abstract: With an ever expanding human population the number of vehicles on road is also increasing. The traditional natured traffic management system and limited road lengths available, it's time that some improvisation and thought is laid upon on this subject as well. The evolution of Information Technology era is leading to the Internet of Things (IoT) and accordingly there are several technologies that have come into existence like Vehicular Ad-hoc Network (VANET). In this paper an innovative idea for traffic management system using radio frequency identification (RFID) tags and RFID Reader is described which has the ability to monitor and manage traffic as well as can be used to detect the collisions. It also introduces a Smart city framework and explains the storage of vehicle history and information related, automated traffic violation monitoring, and automated fine/challan delivery. It also describes how RFID tracker applications for mobile and computers can be modified by software upgrades and create real time monitoring systems. Resulting system would be far cheaper and reliable than the current CCTV camera based system and it could be used as a platform for various other applications.
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TL;DR: A logging instrument contains a pulsed neutron source and a pair of radiation detectors spaced along the length of the instrument to provide an indication of formation porosity which is substantially independent of the formation salinity.
Abstract: The Ad hoc On-Demand Distance Vector (AODV) routing protocol is intended for use by mobile nodes in an ad hoc network. It offers quick adaptation to dynamic link conditions, low processing and memory overhead, low network utilization, and determines unicast routes to destinations within the ad hoc network. It uses destination sequence numbers to ensure loop freedom at all times (even in the face of anomalous delivery of routing control messages), avoiding problems (such as "counting to infinity") associated with classical distance vector protocols.
11,490 citations
TL;DR: It is demonstrated that even though DSR and AODV share similar on-demand behavior, the differences in the protocol mechanics can lead to significant performance differentials.
Abstract: Ad hoc networks are characterized by multihop wireless connectivity, frequently changing network topology and the need for efficient dynamic routing protocols. We compare the performance of two prominent on-demand routing protocols for mobile ad hoc networks: dynamic source routing (DSR) and ad hoc on-demand distance vector routing (AODV). A detailed simulation model with MAC and physical layer models is used to study interlayer interactions and their performance implications. We demonstrate that even though DSR and AODV share similar on-demand behavior, the differences in the protocol mechanics can lead to significant performance differentials. The performance differentials are analyzed using varying network load, mobility, and network size. Based on the observations, we make recommendations about how the performance of either protocol can be improved.
1,470 citations
03 Jun 2012
TL;DR: The development of a warning system composed of Intelligent Traffic Lights that provides information to drivers about traffic density and weather conditions in the streets of a city is proposed and evaluated through simulations.
Abstract: Road safety has become a main issue for governments and car manufacturers in the last twenty years. The development of new vehicular technologies has favoured companies, researchers and institutions to focus their efforts on improving road safety. During the last decades, the evolution of wireless technologies has allowed researchers to design communication systems where vehicles participate in the communication networks. Thus, new types of networks, such as Vehicular Ad Hoc Networks (VANETs), have been created to facilitate communication between vehicles themselves and between vehicles and infrastructure. New concepts where vehicular networks play an important role have appeared the last years, such as smart cities and living labs [1]. Smart cities include intelligent traffic management in which data from the TIC (Traffic Information Centre) infrastructures could be reachable at any point. To test the possibilities of these future cities, living labs (cities in which new designed systems can be tested in real conditions) have been created all over Europe. The goal of our framework is to transmit information about the traffic conditions to help the driver (or the vehicle itself) take adequate decisions. In this work, the development of a warning system composed of Intelligent Traffic Lights (ITLs) that provides information to drivers about traffic density and weather conditions in the streets of a city is proposed and evaluated through simulations.
170 citations
18 Mar 2013
TL;DR: This work proposes to design a framework in which the Traffic Management System (TMS) may adapt by dynamically adjusting traffic lights, changing related driving policies, recommending behavior change to drivers, and applying essential security controls.
Abstract: Rapid increase in number of vehicles on the roads as well as growing size of cities have led to a plethora of challenges for road traffic management authorities such as traffic congestion, accidents and air pollution. The work presented in this paper focuses on the particular problem of traffic management for emergency services, for which a delay of few minutes may cause human lives risks as well as financial losses. The goal is to reduce the latency of emergency services for vehicles such as ambulances and police cars, with minimum unnecessary disruption to the regular traffic, and preventing potential misuses. To this end, we propose to design a framework in which the Traffic Management System (TMS) may adapt by dynamically adjusting traffic lights, changing related driving policies, recommending behavior change to drivers, and applying essential security controls. The choice of an adaptation depends on the emergency severity level announced by the emergency vehicle(s). The severity level may need to be verified by corresponding authorities to preserve security measures. We discuss the details of our proposed framework and the potential challenges in the paper.
85 citations
22 Mar 2013
TL;DR: A new scheme consist of a smart city framework that transmit information about traffic conditions that will help the driver to take appropriate decisions is introduced, which consists of a warning message module composed of Intelligent Traffic Lights (ITLs) which provides information to the driver about current traffic conditions.
Abstract: The total number of vehicles in the world has experienced a remarkable growth, increasing traffic density which results in more and more accidents. Therefore the manufactures, researchers and government is shifting focus towards improving the on road safety rather than improving the quality of the roads. The good development in the wireless technologies emerged various new type of networks, such as Vehicular Ad Hoc Network (VANET), which provides communication between vehicles themselves and between vehicles and road side units. Various new concepts such as smart cities and living labs [1] are introduced in the recent years where VANETs plays an important role. A survey of various Intelligent Traffic Systems (ITS) and various routing protocols with respect to our proposed scheme is described in this paper. It also introduces a new scheme consist of a smart city framework that transmit information about traffic conditions that will help the driver to take appropriate decisions. It consists of a warning message module composed of Intelligent Traffic Lights (ITLs) which provides information to the driver about current traffic conditions.
84 citations