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Vehicle to Vehicle (V2V) communication systems enable vehicles to communicate with each other and use the shared information to make safety related decisions. However, the safety improvement of the current V2V systems only benefits V2V-enabled objects in the V2V network. The Pedestrian Automatic Emergency Braking System (PAEB) can utilize onboard sensors to detect pedestrians and make safety related...
In this paper, we present the "Slow Start Problem" in participatory sensing applications where a service is provided based on data collected by participants. The slow start problem refers to the initial stage in participatory sensing service deployment, during which service adoption remains sparse and, hence, the collected data does not offer adequate coverage. Predictive models, learned...
Autonomous underwater vehicles (AUVs) are cost- and time-effective platforms for mapping and monitoring of aquatic environments. Previous works have shown the benefits of using informative adaptive sampling approaches for field estimation over running standard surveys. We are interested in extending these works into decentralized multi-robot approaches. Simulation experiments with two AUVs, comparing...
This paper proposed a method to build knowledge from one and a half years of UK traffic data sets. The method used is the Fast Incremental Model Trees - Drift Detection (FIMT-DD) with an improvement on the perceptron rule. In order to predict a traditional data set, we first analyze the model. After we have analyzed the model, we then average it from different arrangements of the datasets. In a stream...
The angle of attack and the sideslip angle are significant parameters describing the aerodynamics of the aircraft. Specifically, these angles are required for identification of the system parameters such as aerodynamic forces and moment derivatives. For exact measurements, it is necessary to install appropriate air data sensors on board. However, it is sometime difficult to install such apparatus...
This paper shows that our novel method, Virtual Detection Zone (VDZ) system with CCTV snap shots can provide the empirical data needed to construct Fundamental Diagrams and to calibrate a chosen model. VDZ system is better than the traditional system which uses loop detectors, as it is able to show zero speeds at totally jammed density, which is an essential parameter for macroscopic traffic model...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To calibrate a DTA model the observations from the field are required. There has been increasing number of sensors and technologies which can provide these data. In this paper we briefly describe these sensors and elaborate on the various traffic data types that are used in dynamic demand calibration. The...
The purpose of this study is to present an approach to analyze and recognize the driver posture. By using the wearable device, the sensing data of the driving behavior postures can be collected and calibrated. The calibrated data is as the input parameters of driving behavior modeling. Then, the Hidden Markov Model (HMM) is utilized to establish the driving behavior posture models. The HMM model can...
Smart systems are defined as miniaturized devices that incorporate functions of sensing, actuation, control, and adaptation. They are capable of describing and analyzing a situation, and taking decisions based on the available data in a predictive or adaptive manner, thereby performing smart (intelligent) actions. In order to effectively manage any situation confronted by it, the system components...
Modern vehicles are equipped with increasingly complex sensors. These sensors generate large volumes of data that provide opportunities for modeling and analysis. Here, we are interested in exploiting this data to learn aspects of behaviors and the road network associated with individual drivers. Our dataset is collected on a standard vehicle used to commute to work and for personal trips. A Hidden...
The design and development process of advanced driver assistance systems (ADAS) is divided into different phases, where the algorithms are implemented as a model, then as software and finally as hardware. Since it is unfeasable to simulate all possible driving situations for environmental perception and interpretation algorithms, there is still a need for expensive and time-consuming real test drives...
This paper describes an automatic steering controller based on a target and control driver steering model. Derived based on analyses of vehicle test data on the standard Double Lane Change (DLC) course, this novel target and control driver model captures driver's key steering mechanisms. The analyses show that, instead of planning and following a desired path according to the traditional trajectory...
There is a growing need for vehicular mobility datasets that can be employed in the simulative evaluation of protocols and architectures designed for upcoming vehicular networks. Such datasets should be realistic, publicly available, and heterogeneous, i.e., they should capture varied traffic conditions. In this paper, we contribute to the ongoing effort to define such mobility scenarios by introducing...
With the abundant on-board resources in intelligent vehicles, they have become major candidates for providing ubiquitous services, including urban sensing. This paper proposes an efficient recruitment scheme for vehicles in urban sensing applications. Our trajectory-based recruitment (TBR) scheme solves the problem of participant selection by considering spatiotemporal availability of participants...
Recently, systems to support or recognize human actions have been desired, which must have a certain human action model. Based on this reason, a new modeling method of human actions is proposed in this paper. In the proposed method, a human action model is statistically generated by extraction from enormous data on human actions obtained by long-term monitoring with sensors. Therefore, human actions...
A large number of data centers have been deployed and available for public renting with the rapid development of cloud computing recently. Meanwhile, the proliferation of automotive electronics has made rich resources in various forms of computation and communication. It is challenging but of great significance to make use of these resources in an efficient way. In this paper, we propose a two-tier...
Simulation has been widely used to estimate the benefits of Cooperative Systems (CS) based on Inter-Vehicular Communications (IVC). This paper presents a new architecture built with the SiVIC simulator and the RTMaps™ multisensors prototyping platform. We introduce several improvements from a previous similar architecture, regarding IVC modelisation and vehicles' control. It has been tuned with on-road...
One of the main challenges in the development of traffic systems is to assure safety for all road users. Hence, especially expensive vehicles are equipped with advanced driver assistance systems (ADAS) that use data about the vehicle and information about objects in the proximity of the vehicle to execute the assistance function. These objects have to be detected by sensors and they have to be tracked...
The development of intelligent vehicle systems based on non-deterministic input signals of the environment, have a dramatically increased complexity. Real test drives are no longer adequate to cover all test-cases, due to costs and complexity. One way to meet this challenge is a simulated test drive. In this case the driver, the environment and the vehicle are described within simulation models. Scenarios...
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