Mobility CPS

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A driving simulator can provide a safe and economical evaluation environment for stroke drivers to assess their driving skills in challenging traffic situations. Two measurement methods, an objective measurement method and subjective measurement method, have been developed to analyze results of a driving simulator. However, the former has a difficulty that numerical error results are not intuitive to interpret, and the latter is highly subjective due to a human intervention. To address these …

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The efficiency of V2X communication in congested area is very poor. Here we introduce the directional antenna for maximizing spatial reuse and we propose new MAC protocol for directional antenna.

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Energy consumption by fuel in road transportation is a main factor in the world’s total transportation energy consumption. There are two factors affecting fuel consumption of vehicles: 1) vehicle trajectory; and 2) traffic signal timing. Fuel consumption occurs more in vehicle’s stop and go situation due to increase of acceleration time. Also, fuel consumption occurs more largely in when the number of vehicles stopped by traffic signal increases. In this paper, we propose Adaptive Signal Control for Eco-driving (ASCED) System to control vehicle movements and to adjust signal timing for low fuel consumption. First of all, we reformulated original models for a …

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Our research focuses on enabling emerging applications to enhance vehicle safety, transportation efficiency, and passenger comfort. We want to provide efficient data services via hybrid of infrastructure to vehicle (I2V) and vehicle to vehicle (V2V), and cooperation among multiple Roadside Unit (RSU).

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Through DSRC, Roadside Unit (RSU) transmits speed control messages to On-board Unit (OBU), which is equipped on a vehicle. We do this by considering the vehicle GPS information and the traffic light information to measure acceleration and deceleration, and maintain performance. By using this technique, we develop an eco-driving system in the field.

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For unmanned autonomous vehicles, obstacle detection is one of the most important aspects to support robust collision avoidance systems. In order to prevent collision, autonomous vehicles are equipped with heterogeneous sensors to monitor surrounding environments. While these sensors assist such needs, recent studies have demonstrated that malicious attackers can manipulate them to yield false values and trigger harms. In addition, unintended sensor failures can also cause critical …

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According to the 2013 annual report file by the Fatality Analysis Reporting System (FARS), 14 percent of all traffic fatalities and an estimated 3 percent of those injured in traffic crashes were pedestrians. Fatal pedestrian crashes are about 9 times smaller when both drivers and pedestrians have a blood alcohol concentration (BAC) of .08 gram per deciliter (g/dL) than when both drivers and pedestrians have a BAC of .00 g/dL. It means that the reasons for fatal…

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The objectives of this paper is to develop the Eco-Traffic Signal Sys-tem (Eco-TSS) that can improve fuel consumption and delays at an isolated in-tersection under Connected Vehicle environment. The proposed system consists of an eco-driving algorithm and a traffic signal optimization process to figure out an optimal solution minimizing fuel consumption and delays. We developed a bi-level optimization method for the Eco-TSS and evaluated the impact of the Eco-TSS within traffic simulation to compare …

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Vehicular Ad-hoc Networks (VANETs) using a connected-car technology can support safety-critical applications in Cooperative Intelligent Transportation Systems (C-ITS). While WAVE/DSRC has been investigated by a number of researchers to support VANETs, it may not be easy to distribute WAVE/DSRC in the near future due to several practical obstacles. In this paper, we discuss an alternative to support V2X communication without using WAVE/DSRC. Therefore, we propose a novel …

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This research considers the problem of sensor attack detection for multiple operating mode systems, building upon an existing attack detection method that uses a transient fault model with fixed parameters. For a multiple operating mode system, the existing method would have to use the most conservative model parameters to preserve the soundness in attack detection, thus not being effective in attack detection for some operating modes. To address this problem, we propose an adaptive …

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This research focuses on analyzing the performance of sensor fusion models for a pedal system in electromechanical braking (EMB) systems. To properly control a brake, a signal obtained from a pedal is important and should be stable. Sensor fusion models can be used to make the pedal signal more stable and resilient against the abnormalities. In this work, a pedal sensor and a pedal effort sensor are exploited for the sensor fusion to control the brake. Then, we analyze the performance of each fusion …

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This research considers the fault detection method to detect abnormalities in the presence of transient faults using Kalman filter and Adaptive transient fault model (A-TFM). Kalman based fault detection system is used to determine whether the abnormality occurs or not by comparing the estimated value from Kalman filter and the measured vale from sensors. If the difference (i.e., residual) between two values is higher than a predetermined threshold, the system makes a fault alarm. However, the …

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Controller Area Network (CAN) is a de-facto standard in in-vehicle network. However, since it is isolated from outside for a long time, there has not been any consideration of security. These days, since vehicles have more functions and are connected with outside, the security of CAN has become an important issue. We design a security protocol for CAN considering the limited environment of in-vehicle network which has low performance ECUs, small payload of CAN protocol, and so on.

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Precise automobile position tracking is important in terms of safety. The state-of-the-art navigation frequently fails to provide precise outdoor localization especially in urban areas due to GPS errors. To track vehicle position, conventional approaches have used particle filter algorithm containing estimated vehicle position and weight values. Our approach is to provide a precise magnetic fingerprinting-based outdoor localization. Our intuition is that many landmarks can improve accuracy of tracking …

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As the cyber security has been an important issue in Cyber Physical Systems (CPS), recent systems exploit many sensors measuring the same physical variable (e.g., a velocity measured from Encoder, IMU and GPS) in order to provide more reliable value for a controller, and ensure the resilient operation against abnormal conditions. Many researchers have developed various fusion models . In this research, we evaluate the performance of each fusion model based on the real measurement data …

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Fusion techniques are based on certain sensor models, which broadly fall into two categories: probabilistic model and abstract model. The probabilistic sensor model  uses certain noise distributions on sensors (e.g., Gaussian), which is well suited for analyzing the systems’ expected performance in the average case. However, wrong assumptions on noise distributions may be in danger of being vulnerable to sensor attacks. On the other hand, the abstract sensor model uses the worst-case error …

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Drivers, who first visit DGIST, cannot easily notice the roundabout at night. It is difficult for the drivers to see the roundabout or a vehicle approaching to the roundabout from other direction. In order to prevent a car accident at night, we propose a warning system that represents the warning light on the roundabout when a vehicle is approaching. To be specific, green LED light is on when only single vehicle is approaching to the roundabout and yellow led light flickers when more than two vehicles are …

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We propose occluded volume based reasoning method. The proposed method handles quickly occluded pedestrian detection and occluded volume generation accurately as well as general object detection. Occluded volume means an obscured area by the obstacle. Objects in occluded volume are not detected by LIDAR. On the other hand, RADAR is possible to perceive moving object in the volume. Occluded object is estimated to pedestrian by means of unique Doppler pattern of human obtained …

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This paper investigates information services in vehicular networks via cooperative infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communications. In particular, we consider the cooperation among multiple roadside units (RSUs) in a bidirectional roadway scenario in providing data services. The primary objective is to best explore the channel efficiency for I2V/V2V communications to maximize the system performance. Specifically, we formulate the problem and propose a Maximum Service (MS) …

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