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Autonomous driving is becoming more and more multidisciplinary. Not only vehicular technologies but also computing, networking, and data management technologies are involved in autonomous driving. Of particular interest includes the trade-off between in-vehicle computing and cloud computing to support artificial intelligence of autonomous driving. Perception and planning of autonomy requires high-performance...
Nowadays traffic jam becomes a serious problem and also one of the major bottlenecks that restrict the city's development. ITS (Intelligent Transportation System) is proposed to deal with this problem, which generally combines computer science, information system, communication and control technologies. However, many cities in the world have become so crowded in the peak time that most available route...
In this paper, the possibility of using multi-agent systems principles in design of universal Fail - safe UAV structure is presented. The advantages of this approach and a particular system design are introduced. The benefits of multi-agent approach to design the UAV system are related to its desired properties, which is fail safe feature, meaning the resistance of the system to software and hardware...
The smart grid represents a significant transformation of the electric industry, and promises high-valued products and services. However, it is a new paradigm and brings forth significant challenges with new technologies, systems, and processes. This paper presents an overview of Toronto Hydro's approach to smart grid, describing strategic roadmapping, integrated planning and operations, and a four-layer...
Past research projects on intelligent vehicles have already led to the development of a large number of Advanced Driver Assistance Systems. The current research focus is now shifting towards integration and adaptive automation systems that share the control between driver and the machine. Artificial co-drivers can be used for this scope, as tutors to provide holistic support to the driver. However...
In order to support the advanced concept technology demonstration of intelligence reconnaissance activities, multi-agent-based battlefield reconnaissance simulation is studied to provide enough detail to examine dynamic tactical process by a novel method of task decomposition and allocation. Our work includes four parts: (1) describing task by means of Behavior Definition Frame; (2) analyzing task...
Traffic congestion has become a major problem in many countries. One of the main causes is the failure to manage a journey. Vehicles tend to choose the shortest paths which ended up congesting a certain area. If a journey is well managed, using alternative paths may lead to the same destination in a shorter period of time. Therefore, with the importance of sustainable environment, intelligent route...
In this paper an area signal control model based on temporal planning is presented. Every activity of area signal control is modeled using planning domain definition language, and then the domain model of area signal control is established. Aiming at the representation problem of resource and time in the area signal control model, we extended the basic activity model by adding resource constraint...
In this paper, we report on work that applies a form of artificial intelligence (AI) to autonomous underwater vehicle (AUV) operations. Called "language-centered intelligence" (LCI), this form of AI uses hypothetical reasoning to build contingency plans that enable AUVs to proactively anticipate changes in mission circumstance. After describing the control architecture we have used to embed...
This paper provides an improved search algorithm for optimal route planning by rebuilding the search area in intelligent transport system. The theory foundation is that the classical Dijsktra algorithm has not any directional feature during searching the optimal path, and the bidirectional Dijsktra has its own limit. Based on the analysis of the two algorithms, the new improved algorithm proposed...
Planning and scheduling (P&S) is an important area of artificial intelligence (AI). In the late decade, application-oriented research receives much more attention in AI planning community. Hierarchical Task Network (HTN) is an effective AI planning approach and has been applied in many realistic domains. However, current modeling mechanisms of HTN planning are mainly based on logical and/or functional...
In this paper a method for the prediction of vehicle velocities is described that can be used for any point of time in the future. The approach is based on a two step clustering which uses toll transaction data of the training of the model. The results are different clusters for each road segment, containing the velocity value and its probability of occurrences. Furthermore the results of the method...
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