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This paper is on a connected and autonomous vehicle hardware-in-the-loop (HiL) simulator for developing automated driving algorithms. This simulator allows the user to run highly realistic hardware-in-the-loop simulation of connected and autonomous driving functions. The HiL simulator of this paper consists of a dSPACE Scalexio system which runs Carsim Real Time with Traffic and Sensors and is connected...
Industrial Internet of Things (loT) brings more innovation space to the construction machinery industry. However, currently the application of IoT in vibratory roller is mainly reflected on the remote control of asset security and the basic data monitoring of equipment operation. In order to improve the intelligent level of vibratory roller and promote intelligent compaction on road construction,...
Trafïîc congestion is a serious global problem. Enhanced or deep Q learning algorithms were applied to a traffic simulation study. The enhanced Q learning was based on a repeated local search algorithm, and it was able to find optimal pathways under a multi-agent system. Deep Q learning was also capable of learning a suitable strategy, considering dynamic changes in traffic circumstances at a highway...
Traditional vehicular routing protocols cannot accurately foresee future location of each vehicle for efficient packet forwarding. Recently, the data mining approach has been applied to analyze huge vehicle trajectory data. In this paper, we propose a novel trajectory-based routing (NTR) protocol to improve the packet replication efficiency of vehicles in the Vehicular Delay Tolerant Network (VDTN)...
In order to build the cross-department and cross-regional road network monitoring and security service platform and related system, we puts forward and research three levels of integration technology. The application of integrated technology is designed and developed to implement the comprehensive application demonstration system of road network management.
We present a type of high performance contact-separation mode triboelectric generators (TEG). The TEGs consist of a poly(vinylidene fluoride) composite with embedded barium titanate nanomaterial (PVDF-BaTiO3) and polyamide-6 (PA6). Additional BaTiO3 nanomaterial in the PVDF increase the relative permittivity and piezoelectric effect, thus enhance the performance of the TEGs. Owing to the increased...
Automation of real time car parking system (RTCPS) using mobile cloud computing (MCC) and vehicular networking (VN) has given rise to a novel concept of integrated communication-computing platforms (ICCP). The aim of ICCP is to evolve an effective means of addressing challenges such as improper parking management scheme, traffic congestion in parking lots, insecurity of vehicles (safety applications),...
Direct torque control using space vector modulation (DTC-SVM) is one of the most popular control methods of induction motor for electric vehicle (eV). This paper proposes DTC-SVM with improved deadbeat control. During uphill and downhill, instant torque changes is problem for drivers. The principle of the developed method is a solution to overcome the torque need on unexpected road conditions. In...
The interaction between a human driver and an automated driving system may improve when the automation is designed in such a way that it behaves in a human-like manner. This paper introduces a human-like steering model, in which the driver adapts to the risk due to uncertainty in the environment. Current steering models take a risk-neutral approach, while the fields of economics and sensorimotor control...
In this paper we are presenting a novel approach for the problem of vulnerable road users (VRUs) attribute prediction which play such critical role for the intent prediction models of VRUs. We formulated the problem as a multi-task learning (MTL) image classification problem and we utilized a convolution neural network (ConvNet) based technique to exploit the commonality between two of the most important...
Conventional traffic light control systems are based on fixed time intervals of the traffic lights. These conventional fixed traffic light controllers have limitations and are less efficient because they use a hardware, which functions according to the program that lacks the flexibility of modification and adaptation on a real time basis. Thus due to the fixed time intervals of green and red signals...
This paper briefly introduces the technology of expressway emergency telephone system and internet communication middleware, and introduces the technology of using the Internet of things middleware technology to realize the interconnection of expressway emergency telephone system.
This talk presents my group's progress in foundry-compatible multilayer silicon nitride-on-silicon integrated photonic platforms. Silicon nitride enables improved passive photonic components that can be integrated with active components in the silicon layer, including highly efficient modulators, high-speed photodetectors, and potentially hybrid lasers. Multilayer platforms also allow for new device...
Emergency situations require accurate and timely decisions in order to reduce delay and the additional impact of incidents on human lives and civil properties. However, decision-making in urban emergency situations is a challenging task due to the number of variables influencing the process and the unpredictable change of some of them. This process characteristic requires that decision-makers monitor...
The article considers the stages of constructing the Bayesian network of trust for modeling complex natural processes with the unpredictability effect, as well as its structure, training and simulation results.
Networked embedded software systems incorporate varying degrees of adaptation behavior to sustain their operations with acceptable quality of service (QoS), in the face of hostile external events — such as resource outages in a cloud service, road slipperiness in a car driving, etc. For instance, a highly agile cruise control system of a car may dynamically adjust its controller parameters...
In this paper we propose a vehicular speed learning framework that recommends best traffic load based on a particularly required latency and throughput conditions to be achieved. The framework is composed of two main layers, the base layer and two enhancement layers. The base layer aims at providing an in-vehicle wireless receiver to inform the driver about the speed limit within the area he/she is...
The basis of this study is to create an insight for target vehicle path following or improving situational awareness by using path accumulation and ego-motion compensation. Possible application variants of the strategy, for highways and urban roads are also described. The study is also extended for enhancing path accumulation in noisy environment or sensing by making use of spline based curve approximation...
In the paper, we consider the features of the new revolutionary transportation technology (the Hyperloop technology) proposed in the USA and associated with the use of ultra-high-speed vacuum trains moving inside tubes with a reduced internal air pressure. In doing so, we focus on Hyperloop cargo systems for transporting standard 20-foot containers. Now Russia has plans to build such a transport system...
The road accident increases each year due to increased vehicle on the road. Driver vigilance easily distracted when in a state of fatigue and sleepiness. This research proposes to use physiological measures of electromyography (EMG) signal to assess muscle fatigue during driving game obtained from biceps brachii. The experiment starts with data collection of EMG signal for 3 subjects while driving...
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