Papers by Keyword: Road Network

Abstract: The paper presents the results of comparative studies of the selection of micromodels of traffic simulation on a regulated network. The accuracy of the calculated values of vehicle speed obtained from the models of catastrophe theory is shown. Based on model studies it was found that, depending on frequency of buses the optimal distance to the stop line changes, from which it is efficient to make decision on priority intersection. The paper estimates the probability of traffic light options with different volume of priority vehicles.

Abstract: The issues of optimizing road cargo flow of the transport and logistics cluster (TLC) of a port metropolis, for example, St. Petersburg are regarded. The need to clear the central part of the city of warehouses and freight lines, to transfer them to the ring roads area is highlighted. Being the hub of the international transport corridor (ITC), St. Petersburg requires the implementation of "Foreland-Hinterland" and "Hub-and-Spoke" logistics concepts. Special emphasis is placed on the need to optimize the allocation of traffic flows and the possibility of solving this issue in the GIS ArcGIS environment. The issue of justification of withdrawing the routes of the cargo flows from the city center to the ring roads is solved quantitatively.

Abstract: In artificial society simulation, each artificial population needs road path planning in the process of travel. However, because of the large amounts of populations in artificial society, road path planning will cost lots computational resources and time, thus this process has terrible efficiency to the performance of the simulation system. In order to solve this problem, this article firstly makes use of CPU to generate the artificial populations, travel logs, and construct the road network models; then computes the shortest road path between each two environments and load the results in RAM for prepare; lastly, sends the ID and its start point and destination of the population who need road path querying to GPU at current simulation time in the simulation process, and then takes advantages of GPU to query the road path and return the results back. In this way, we can obviously reduce the time costs in the process of road path querying and enormously improve the performance of the whole simulation system.

Abstract: The existing road network privacy protection models do not consider the density of the user and the road length. To solve this problem, we propose a Euclidean distance-based road network privacy protection model. First, we put the projection distance of sections in the road network context as the actual distance between two users located in this section. For users in different sections, we put the sum of distance with respect to the length of sections as the relative position between them. Secondly, combining traditional anonymity models and road network characteristics, we propose the road network (k, l)-anonymous model and design algorithms to implement it. Finally, we use the experimental verify performance of the algorithm. Theoretical analysis and experimental results show that the algorithm is correct and effective.

Abstract: With the increasing of data volume and data dimensions in road network query, the response gets slow in searching services, which cannot satisfy users demand for preference-based searching. This paper proposes a user preference-based Skyline query algorithm. At the first stage, this method is based on the fact that the static property of data does not change during the query processes. Therefore, Skyline starts its calculation in the non-spatial data set to have the candidate results and dominance relation. Then it calculates the total costs of routine by defining user preference function. At the second stage, compare the data connections with the total costs of preference to minimize time for processing data and searching. The experiment result shows that the definition of user preference meets the users demand, and Skyline query algorithm benefits to have quick response.

Abstract: The internet of things (IoT) is considered as one of the most important supporting technologies for the smart grid, which is considered as one of the most important application areas of the IoT. In the electric IoT, with the development of electric vehicles (EVs), effectively modeling road network becomes more and more important. In this paper, a road network model which captures the real-life road conditions better than previous models is introduced. Moreover, an awaiting time in the queue is taken into consideration before EVs being charged. Compared with minimum distance standard, the proposed time minimum standard and Dijkstra algorithm are adopted to track the path of the EVs. Finally, a velocity limitation of EV is considered in the simulations to embody the real-life road network.

Abstract: Based on dissecting green transportation concept and its essence, this paper puts forward a new understanding about the concept. Then it expounds some technical approaches to build a green transportation system from the following three aspects, spacial structure of land use, road network planning and transport development mode. At last, taking Eco New Area of a certain city as an example, this paper applies the concept and technical approaches to the green transportation planning of New Area. Further analyzing the planning strategies and implementation schemes of road network, public transit and non-motorized travel in Eco New Area, the green transportation concept is put into practice on the planning level.

Abstract: The tracking of ground targets using aerial images was studied. A improved Kalman filter was derived for the tracking of ground targets. The novel feature of this improved filter were that the grey prediction equations and the road information have been incorporated to improve the accuracy of state estimates.The GM(1,1) (Grey Model) was introduced into Kalman prediction equations.The next value was forecasted by using few forward estimated values with a grey differential equation,which was baesd on the correction of mesurement covariance matrix. The tracking of the targets shows a satisfactory result.

Abstract: Traffic road network is one of the fundamental components in Intelligent Transportation System (ITS). This paper analyses the requirement for traffic road network in ITS, and constructs a lane-based road network model. The model which describes traffic network from different levels is composed of 5 kinds of elements: link, node, arc, lane and lane connector. In level-1, the basic unit of the model is link or arc, which represents the road section with the constant traffic organization. That means the number of lanes, the attributes of lane and the topological relationship between lanes in link or arc are constant. In level-2, lane and lane connector give the detail information of the network based on arcs. This model can support various research and application fields in ITS. Finally, we take the network modeling in traffic simulation as an example. The simulation traffic network in TransModeler is extracted automatically from the traffic network database that is constructed on the lane-based network model.

Abstract: Dynamic traffic information is an important data for Intelligent Transportation System(ITS). Fusion of dynamic traffic information and embedded GIS is a basis for dynamic path planning and dynamic navigation. The approach proposed in this paper designed a model of dynamic traffic information and a hierarchical sub-model of road condition, and established algorithms for fusion with road network. Experiments with embedded GIS show that the models and integration algorithms are validated and effective. We believe the newly developed approach will be of great potential in ITS and future applications of dynamic traffic information.