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Cellular Network Localization (CNL) is a vital source of information to a wide range of emerging applications, to name a few, Location based services, traffic analysis and sensing, vehicles' anti-theft systems. Developing, validating, and testing of such applications require massive data sets of CNL - a prerequisite that is impractical to be collected. Furthermore, it can not be simulated using hard...
In the new digital age, the pace and volume of growing transportation related data is exceeding our ability to manage and analyze it. In this position paper, we present a data engine, Godzilla, to ingest real-time traffic data and support analytic and data mining over traffic data. Godzilla is a multi-cluster approach to handle large volumes of growing data, changing workloads and varying number of...
Cooperative vehicle-to-vehicle (V2V) communications for real-time video streaming of scalable video coded (SVC) videos is investigated, and a novel clustering method is proposed. In the proposed method, moving vehicles are grouped into cooperative clusters to enhance the distribution of the video to the cluster members. Within each cluster, vehicles communicate over IEEE 802.11p, whereas the long...
One envisioned distinctive feature of smart cities is the interconnection among mobile users and vehicles, to support the fulfillment of location-based services. This can be obtained with centralized architectures, and with all the problems of scalability and robustness that such a solution involves. On the other hand, a more complex but more reliable, completely distributed approach can overcome...
Several data dissemination protocols in VANETs have been proposed in the literature, however, most of these protocols do not efficiently address broadcast storm and network partition problems simultaneously. This work attempts to fill this gap by proposing a suitable broadcast protocol in vehicular networks, designated GTO, that addresses both the broadcast storm and network partition problems in...
With the wireless network and mobile Internet development, the mobile phones are rapidly developed and more popular, and so it's becoming possible to get highway traffic information by locating the mobile phones in vehicles. The system structure for the highway traffic information collection is designed based on wireless network and mobile phones in vehicles, and the vehicle recognition and its information...
Car following and lane changing are the most common driving behavior in urban roads and highways. Although these two maneuvers have been studied extensively, the effects of lane change on car following maneuver remain elusive. This effect, which is called anticipation and relaxation, is a transient state between two car following maneuvers happening due to the lane change of new leader. During this...
Vehicular ad hoc networks (VANETs) are configured to provide for communications with highway vehicles. We have recently introduced a network architecture to support such communications through the dynamic synthesis of a backbone network, identified as a Vehicular Backbone Network (VBN). Nominal positions across each road are optimally selected and announced as best locations to use for packet forwarding...
To better regulate traffic flow and reduce the potential impacts due to uncoordinated lane changes, we proposed a real-time optimal lane selection (OLS) algorithm by using the information available from connected vehicle (CV) technology. Such information includes the location, speed, lane and desired driving speed of individual vehicle agents (VA) on a localized roadway. Microscopic traffic simulation...
Packet loss in block erasure channels creates a randomly switching networked system that impacts control performance significantly. This paper employs safety of highway vehicle platoons as a platform to study such impact. By autonomous inter-vehicle coordination, a platoon can potentially enhance safety, improve highway utility, increase fuel economy, and reduce emission. By comparing different information...
Network connectivity is a fundamental requirement for applying the vehicular ad hoc networks (VANETs) to real traffic systems. The high mobility of vehicles results in rapid changes in network topology generating dynamic variation in network connectivity. Therefore, a new approach of using Exponential Random Geometric Graphs (ERGGs) to analyze VANETs connectivity is presented considering the high...
In this paper we present a robust mode selector for the uncertain graph-constrained Switching Mode Model (SMM), which we use to describe the highway traffic density evolution. Assuming an uncertain speed of the congestion wave, the proposed selector relies on a transition digraph suitably incorporating the present and historical statistical traffic information, to determine the most probable current...
Risk estimation for the current traffic situation is crucial for safe autonomous driving systems. One part of the uncertainty in risk estimation is the behavior of the surrounding traffic participants. In this paper we focus on highway scenarios, where possible behaviors consist of a change in acceleration and lane change maneuvers. We present a novel approach for the recognition of lane change intentions...
Modeling and monitoring dynamic environments is a complex task but is crucial in the field of intelligent vehicle. A traditional way of addressing these issues is the modeling of moving objects, through Detection And Tracking of Moving Objects (DATMO) methods. An alternative to a classic object model framework is the occupancy grid filtering domain. Instead of segmenting the scene into objects and...
In this paper we present a novel method to detect guard rails in highway scenarios using a stereo camera setup. In contrast to previous methods, we combine geometry information with appearance cues using a state-of-the-art feature encoding method. In our system pipeline, we follow a hough-based approach to localize potential guard rails in the image and require each detected line to fulfill linearity...
This paper deals with a clustering approach for VANETs operating in highway scenarios, where a certain degree of correlation among vehicles emerges such that a group mobility pattern is expected. The proposed protocol is inherently mobility driven as the reference metric to select a Cluster Head (CH) takes into account the node connectivity within an estimated coherence time interval. Our clustering...
Vehicular networks that require additional spectrum for communication may leverage cognitive radio technology. Towards this aim, the vehicle must select one among several candidate channels for data transmission, with the possibility that other surrounding vehicles may also identify the same spectrum for their use. Such networks are distinguished from their classical, stationary counterparts by high...
Existing models of traffic flow parameters are researched based on according to macroscopic traffic flow data, but the relationship among microscopic traffic flows parameters are not carefully investigated. Based on actual observation traffic flow data of freeway, to determine the probability distribution and cumulative probability distribution of microscopic traffic flow parameters(such as velocity,...
With the application of intelligent transportation system, vehicle Adaptive Cruise Control (ACC) is widely used in highway. The macroscopic model of traffic flow consisting of ACC-equipped vehicles is investigated and analyzed in this paper. Based on state feedback control strategy of ACC, the macroscopic model for automated traffic flow is established by integrating the dynamical law of traffic flow...
Vehicular Ad hoc Network (VANET) is a communication network for vehicles on the highway. Presently, VANET technology is surrounded with security challenges and it is essentially important for VANET to successfully implement a security measure according to the safety applications requirements. Many academia researcher have suggested a various solutions to encounter security attacks and also proposed...
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