Research on Vehicle Path Planning Base on Intelligent Transport System

2014 ◽  
Vol 513-517 ◽  
pp. 1822-1825
Author(s):  
Rui Wang ◽  
Na Wang

Typical shortest path is Dijkstra algorithm, its time complexity is O (n2). A map of the citys road network has many nodes, if we use the Dijkstra algorithm, the time complexity of the algorithm is too high and the speed of resolution this problem is slow. In order to change this situation, we are discussed from the aspects of algorithm design, puts forward the improved bidirectional search algorithm. Practice has proved that, the improved algorithm can improve the search speed and it suitable for intelligent transportation system.

2013 ◽  
Vol 303-306 ◽  
pp. 2157-2160
Author(s):  
Xin Yi Chen ◽  
Jian Hua Xia

With the expansion of network and the increasing number of communities’ network, It’s a big problem for the search algorithm to enhance the search efficiency. The number of search steps and the amount of query information generated by maximum degree search strategy, which will grow exponentially, consequently, and lead to low the efficiency of search. Without considering the network congestion, breadth-first search strategy is undoubtedly the best search efficiency. From the point of the breadth-first search strategy, this paper designed and proposed the synchronous search strategy of Maximum degree and Bisection degree, and described the algorithm idea and algorithm design for MBDS. The simulation results showed that MBDS not only decreased the amount of query information, but also can efficiently decrease the search steps and improve the search speed.


2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Krishna Raghuwaiya ◽  
Bibhya Sharma ◽  
Jito Vanualailai

This paper addresses motion control of a cooperative intelligent transport system (C-ITS) of nonholonomic mobile robots navigating a dynamic environment while maintaining a locally rigid formation. We consider the design of acceleration-based control inputs that govern the motion of cooperative intelligent transport system (C-ITS) using the artificial potential fields method for the avoidance of obstacles and attraction to designated targets. The control scheme utilizes a new leader-follower strategy using Cartesian coordinates to accomplish a collision-free locally rigid formation of an autonomous and intelligent transportation system. The concepts of virtual parking bays and minimum distance technique (MDT) are utilized to attain prescribed orientations of the formation at the final destination. The robustness of the control scheme is established by considering the effect noise on the formation, while the effectiveness of the proposed nonlinear control laws is demonstrated through computer simulations.


2020 ◽  
Vol 8 (1) ◽  
pp. 781-788
Author(s):  
Hoang Phuong Nguyen

Purpose of the study: Intelligent Transport System (ITS) is being developed, researched, and built to solve traffic congestion in recent years. Many studies and seminars were organized but the results were still limited and fragmented. To build a smart city with intelligent transport system always starts from the planning work. Methodology: Methods of aggregating and statistical data from the Ministry of Transport to ITS and the overall planning of urban transport; Review and propose optimal solutions for integrated urban planning of ITS. Main Findings: The role of urban transportation and the current status of ITS development planning in urban planning in Vietnam. On that basis, it is necessary to integrate existing master plans into an urban development master plan that covers socio-economic development planning, land use, and urban construction. It is based on the planning of smart and modern urban transport development. Applications of this study: The paper proposes content to integrate ITS planning in urban planning in 4 steps to ensure sustainability and updates. Novelty/Originality of this study: The paper presents an overview of ITS system and ITS planning and its relation to urban planning in which, in addition to the traditional planning content, some new contents of ITS planning need to be integrated to meet for building and managing the city in a new age. This study is to affirm the need for integrating urban development master plans based on intelligent transportation system planning.


Author(s):  
Amirhossein Ghasemi ◽  
Mohsen Saberi

The physical development of urban communities and cities, as well as the advancement of communication and information world, increased the need for advanced technologies. Nowadays, many urban planners and managers, especially the mangers of the intelligent transport system and smart government, are concerned with the transformation of physical cities to electronic cities and finally too smart cities in the real world. Making electronic cities smart requires the full participation of urban management organizations in different sectors. In addition, the required frameworks should be designed and implemented based on the close relations of these organizations with each other. This study aimed to investigate the key factors in transforming Birjand city into a smarter city by focusing on two components of the intelligent transport system and smart government. In smart government, a structure is recommended that is appropriate for launching and preparing the policies and regulations that need to be covered by different dimensions. In smart transportation component, one of the most important and valuable solutions to the problems of transportation is the intelligent transport system (ITS).  In this context, measuring potentials and implementing strategic planning can play a key role in increasing service delivery and reducing problems. This research design is an applied study. It intends to introduce the principles and dimensions of the intelligent transportation system and explore the potentials and strategic planning opportunities in Birjand city using a descriptive-analytical method. The data were collected by the library - documentary method. Furthermore, the study was conducted as field-survey research (interviews and questionnaires). In continuation, the strengths and weaknesses, opportunities and threats (SWOT) of the intelligent transportation system were determined and analyzed using the SWOT strategic planning model. Finally, appropriate strategies were presented.


Author(s):  
S. A. Gawande

Abstract: The Intelligent Transportation System is one of the burgeoning inventions that uses new technology to solve a variety of issues. Its compatibility with real-world issues in developing nations like India, such as traffic congestion, infrastructure demand, high traffic loads, and non-lane traffic systems. It is critical to assess a technology's potential in order to determine its viability. The goal of this article is to determine the utility cost ratio of implementation so that it may be evaluated without changing the existing infrastructure design. The end result is a utility cost analysis approach that takes social, economic, and environmental issues into account. As a result, the analysis is quickly examined so that the technology may be applied according to its appropriateness. Keywords: Investments, Congestion, Intelligent Transportation System (ITS), Benefits, Traffic.


2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.


2018 ◽  
Vol 4 (10) ◽  
pp. 10
Author(s):  
Ankur Mishra ◽  
Aayushi Priya

Transportation or transport sector is a legal source to take or carry things from one place to another. With the passage of time, transportation faces many issues like high accidents rate, traffic congestion, traffic & carbon emissions air pollution, etc. In some cases, transportation sector faced alleviating the brutality of crash related injuries in accident. Due to such complexity, researchers integrate virtual technologies with transportation which known as Intelligent Transport System. Intelligent Transport Systems (ITS) provide transport solutions by utilizing state-of-the-art information and telecommunications technologies. It is an integrated system of people, roads and vehicles, designed to significantly contribute to improve road safety, efficiency and comfort, as well as environmental conservation through realization of smoother traffic by relieving traffic congestion. This paper aims to elucidate various aspects of ITS - it's need, the various user applications, technologies utilized and concludes by emphasizing the case study of IBM ITS.


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