Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
A robust network of distributed sensors has been proposed in response to the Radiation Awareness and Interdiction Network (RAIN) Broad Agency Announcement (BAA) issued by DHS/DNDO in March of 2014. The testbed system is designed to detect, track, and identify potential threatening radiation sources in moving vehicles without interrupting the flow of traffic in typical highway scenarios. The algorithmic...
In this work we develop a model of an inductiveloop detector for traffic applications in intelligent transportationsystems. Our goal is to work out an appropriate model thatallows us to obtain the vehicle inductive signatures by meansof a simulator to extract some features and/or study severalperformances without making use of expensive, not only intime but also in resources, tests in real scenarios...
Traffic accidents are the leading cause of death for people aged 15 to 29 and the eighth leading cause of death globally. Accidents at intersections are common, since vehicles approaching the intersection are not always visible to one another. Conventional methods, such as the use of traffic lights, and newer solutions that make use of GPS and VANET are not particularly effective in India for reasons...
An optimal design of Adaptive Neuro-Fuzzy Inference System (ANFIS) traffic signal controller is presented in this paper. The proposed controller aims to adjust a set of green times for traffic lights in a single intersection with the purpose of minimizing travel delay time and traffic congestion. The ANFIS controller is trained, to learned how to set green times for each traffic phase. This intelligent...
The quantum tunneling composites can be used to develop new sensors, switches and controls for a wide range of applications including electronics, transport, space, medicine, defense, textiles, oil and gas, and civil engineering. In this paper, the pressure-sensitive behavior and mechanism of quantum tunneling composites were investigated. The quantum tunneling composites were used to develop traffic...
For intelligent street lamp control system in the presence of complex construction, more power consumption and low intelligence, this paper designed an intelligent street lamp controller achieved by ZigBee network. It use the Doppler detector to obtain the speed of the vehicle and pedestrian, and thus control the lights switch. For the phenomenon of some street lamp appeared to be an isolated during...
Traffic Actuated Control (TAC) is widely used for signal control in isolated intersections. TAC is a responsible method for online traffic data. In TAC, green durations are dynamically determined based on online traffic data. These determinations are subject to predefined static parameters which do not respond to sudden traffic flow changes. One type of these parameters in TAC is maximum green time...
Advances in video technology have enabled its wide adoption in the auto industry. Today, many vehicles are equipped with backup, front-looking, and side-looking cameras that allow the driver to easily monitor the traffic around the vehicle for enhanced safety. This paper reports our research on evaluating many existing object tracking techniques, and proposes a new tracker design and its application...
Research in traffic light recognition (TLR) has stagnated compared to related computer vision areas, such as pedestrian detection and and traffic sign recognition. We focus on the detection sub-problem, since this is the most challenging problem and solving this is the key to a successful TLR system. This is done by looking at four detectors from different author groups and their reported results...
We address the problem of 24/7 object detection in urban surveillance videos, which presents unique challenges due to significant object appearance variations caused by lighting effects such as shadows and specular reflections, object pose variation, multiple weather conditions, and different times of the day. Rather than training a generic detector and adapting its parameters over time to handle...
This paper investigates the development of a watch-dog system that detects a subset of road user actions in traffic intersections. Footage of the intersections is captured with RGB and thermal cameras to ensure that the road is visible round-the-clock even in difficult weather conditions. The watch-dog system consists of several, cascaded detectors which are capable of detecting specific road user...
This paper presents the state of currently used technological solutions employed in research regarding the use of inductive loop sensor (IL) for vehicle axle detection. Inductive loop sensors are less expensive and more durable than other sensors available on the market. What is more, they are the only type of sensor that enables lifted axle detection. System with such sensors may be used for measurement...
Recent advancement in vehicular wireless applications is also a major contributing factor in spectrum scarcity. Cognitive radio technique can be applied to vehicular networks to fully exploit the underutilized licensed spectrum. Fast and reliable detection of primary user is the key component of cognitive radio networks. Energy detection (ED) based spectrum sensing is a viable choice for vehicular...
Traffic data are the prerequisite and foundation of management and control for traffic flow. Because of the absence and abnormity of field vehicle detector data, four approaches for data screening were designed under considering the influence of interval of sampling and the inherent relationship between traffic three parameters including preliminary screening, threshold screening, traffic theory screening...
A distributed reinforcement strategy for controlling the traffic lights in an urban area is proposed to minimize the average waiting time of the vehicles in the network. The network is assumed to follow the dynamics of the cell transmission model (CTM). Unlike many other CTM-based approaches, the proposed strategy only uses those cell occupancies that are observable from the flow measurements. A sufficient...
First light signals for controlling traffic were operated manually by the police. The next types were operated on a ‘fixed-time’ basis by purely mechanical devices. Later developments included linking up a number of local fixed-time controllers with a master controller. The latest and most popular types are the traffic lights that are operated by the passing vehicles themselves by using detectors...
To reduce roadway congestion and improve traffic safety, accurate traffic metrics, such as number of vehicles travelling through lane-ways, are required. Unfortunately most existing infrastructure, such as loop-detectors and many video detectors, do not feasibly provide accurate vehicle counts. Consequently, a novel method is proposed which models vehicle motion using hidden Markov models (HMM). The...
Over the past years improvements in the field of vehicle-2-infrastructure communication offer a lot of possibilities for interactive vehicle applications. The challenge of existing driver assistance algorithms is the fact that a lot of decisions are necessary to select the best driving strategy. The incoming information are mostly based on local sensor values. The disadvantage of this approach is...
This research aims to investigate the required sample size of probe vehicles that are necessary to report the real-time travel time with a desired statistical accuracy in different traffic conditions on freeways. The corridor studied is SR78-E in the North County of San Diego that connects Oceanside and Escondido. The field data used in this study was collected from PeMS during the period from 0:00...
Various traffic applications including model-based analysis and control of traffic need the average speed. The average speed is used as a measure of performance, and as an input for traffic models. It is also used to obtain the density from a known flow or vice versa. In this paper, a new iterative procedure is presented that uses point measurements from inductive loop detectors for estimating the...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.