Construction Of Intelligent Transportation System Research Articles

Research about the construction of intelligent transportation system under the big data of vehicle networking

In recent years, the number of motor vehicles in China has been increasing, but the construction of road traffic system is still relatively backward, and traffic jams and traffic safety problems often occur. At present, the concept of vehicle networking technology has gradually emerged. We can collect the position, status and surrounding environment information of vehicles by the technology, and then use big data method to analyse and process the information, so as to effectively manage and control the road traffic system and provide comprehensive services for drivers. In this paper, based on vehicle networking and the big data technology, the construction method of the Intelligent Transportation System will be further discussed, and the design scheme of the Intelligent Transportation System of a certain area will be provided.

Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment

With the new generation of information technology development and the promotion of the Internet, local governments turn their attention to the construction of intelligent transportation systems. More and more cities began building intelligent transportation which has been widely used to monitor urban traffic. Experts can evaluate urban traffic congestion based on the information collected from the big data of intelligent transportation. In recent two years, double hierarchy hesitant fuzzy linguistic term set has been widely used to depict explicit evaluation information, which is straightforward and broad-spectrum. When evaluating traffic congestion in a city, decision makers can utilize double hierarchy hesitant fuzzy linguistic term sets to express vague information. Moreover, the ORESTE method is an applicative method which can select a reliable alternative by subdividing alternatives and reduce the loss of information in the conversion process. In this paper, we propose a double hierarchy hesitant fuzzy linguistic ORESTE method and a new score function of double hierarchy hesitant fuzzy linguistic term set. The method raises a new perspective to reduce the error from other methods and the new score function derives a robust decision-making result. Then, we apply the double hierarchy hesitant fuzzy linguistic ORESTE method to solve a practical case involving choosing the congested city by evaluating the 5S traffic congestion model. Finally, we compare the double hierarchy hesitant fuzzy linguistic ORESTE method with other methods such as the classical ORESTE method and the double hierarchy hesitant fuzzy linguistic MULTIMOORA to illustrate the advantages of our method.

Research on the Construction of Intelligent Transportation System Based on Internet of Things

At present, with the development of economy, people's living standards are getting higher and higher. Based on the current big city traffic congestion phenomenon, by introducing the concept of Internet and related technologies, the five layers of building based on Internet of things a subject three division wisdom metropolitan transportation system architecture, this architecture includes homework layer, perception layer, network layer, application layer and user layer, a main body is a big city traffic database is the core of the information transmission, three departments include traffic police supervision department, city management and cost management departments. Through this framework, the whole process of urban traffic information can be controlled in real time, so as to guarantee the demand of urban consumers and residents and promote the stable and healthy development of transportation in China's big cities. This paper USES the knowledge of Internet of things to build the intelligent transportation system of big cities, hoping to get inspiration from it.

A Demand-Supply Oriented Taxi Recommendation System for Vehicular Social Networks

To realize the construction of intelligent transportation system, data mining based on large-scale taxi traces has become a hot research topic. A crucial direction for analyzing taxi GPS data set is to recommend cruising areas for taxi drivers. Most of the existing researches merely concentrate on how to maximize drivers’ profits while overlooking the benefit of passengers. Such imbalance makes the existing solutions do not work well in a real-world environment. In this paper, we construct a recommendation system by jointly considering the profits of both drivers and passengers. Specifically, we first investigate the real-time demand-supply level for taxis and then make an adaptive tradeoff between the utilities of drivers and passengers for different hotspots. At last, the qualified candidates are recommended to drivers based on the analysis results. Simulation results indicate that the constructed recommendation system can achieve a remarkable improvement on the global utility and make equilibrium between the utilities of drivers and passengers, simultaneously.

Optimization of ITS Construction Scheme for Road Network under the Restriction of Different Transports’ Passenger Person-Kilometers

Diversified transport modes and increased personal transportation demands have increased in urban traffic problems such as traffic congestion and environmental pollution. To cope with traffic problems, advanced transportation technologies are being developed as intelligent transportation system (ITS). There is a growing trend to coordinate varying kinds of transportation modes. However, the effective construction and application of ITS in urban traffic can be affected by many factors, such as transport mode. Therefore, how to reasonably construct ITS by consideration of different transport modes’ characteristics and requirements is an important research challenge. Additionally, both costs and negative effects must be minimized and application efficiency is required to be optimal in the construction process. To address these requirements, a multiobjective optimization model and a fuzzy selecting optimum model were combined to study the construction scheme based on optimization results. The empirical analysis of Beijing, China, suggested several considerations for improvements to future road network ITS construction with controlled costs. Finally, guidelines are proposed to facilitate ITS construction, improve ITS application efficiency, and transform and innovate strategies to cope with urban traffic.

Automatic Road Crack Detection Using Random Structured Forests

Cracks are a growing threat to road conditions and have drawn much attention to the construction of intelligent transportation systems. However, as the key part of an intelligent transportation system, automatic road crack detection has been challenged because of the intense inhomogeneity along the cracks, the topology complexity of cracks, the inference of noises with similar texture to the cracks, and so on. In this paper, we propose CrackForest, a novel road crack detection framework based on random structured forests, to address these issues. Our contributions are shown as follows: 1) apply the integral channel features to redefine the tokens that constitute a crack and get better representation of the cracks with intensity inhomogeneity; 2) introduce random structured forests to generate a high-performance crack detector, which can identify arbitrarily complex cracks; and 3) propose a new crack descriptor to characterize cracks and discern them from noises effectively. In addition, our method is faster and easier to parallel. Experimental results prove the state-of-the-art detection precision of CrackForest compared with competing methods.

A Study of Path Planning Algorithm in VANETs

Based on GPS and RFID technology, a vehicle path planning guidance system is analyzed in this paper. Specially, the ant colony optimization in the vehicle path planning application of Internet in vehicles environment is proposed, and an improved strategy is put forward to provide an efficient path planning algorithm for the construction of intelligent transportation system. As an alternative of wireless radio and guidance display screen and other primary induction means, the ant colony optimization in this work could supply some significant exploring and thinking for currently construction of the intelligent transportation system.

Collection and Services of Traffic Information Based On the Internet of Things

By analyzing the situation and problems of the construction of intelligent transportation system,combined with the current needs of traffic management information collection and service, the framework of traffic information collection and service based on the technology of Internet of Things has been designed. Working as the core, the public security platform of traffic control integrates various types of traffic information collection and service systems. It can perform the collection and intelligence analysis of all-weather traffic information, and offer traffic information and induced services, as well as coordination and control of regional traffic flow, etc.Then, the traditional applications of ITS technology and the new application model based on the Internet of Things technology are brought into comparison, from the perspective of traffic flow information collection, traffic information services, traffic signal control and transit signal priority respectively. Finally, technology on the Internet of Things will break through the existing mode of ITS application, enhance the accuracy of traffic information collection, and improve the service level of public travel.

Several Thoughts on Application of Urban Traffic Management Engineering Technology

By combining the development process of foreign Traffic Management Engineering Technology(TMET), this paper discusses the experience derived from traffic infrastructure, intelligent transportation system(ITS) technology and traffic engineering consulting industry development. Through a comparison of TMET in our country, we analyze issues in development process such as extensive TMET application, management and control system functions integration, ITS development, and propose that the development of ITS technology must be based on the adequate applications of the technology in traffic management engineering. But at present stage, the development of traffic management engineering technology is not enough. By a systematic analysis of problems in the fields of development planning, resource utilization, system function, and technical support, consulting, we reflect on the appearance and underlying causes of these issues. Learning from practical experience of foreign TMET, combined with China's urban traffic development, we put forward ideas and suggestions including TMET,ITS technology development, traffic management and control means, engineering and technical consulting industry, technology innovation alliances, so as to play a positive role in promoting adjustments of urban transport policy, progress of TMET, and the construction of intelligent transportation system for our country.

Research on the Construction Mechanisms for Intelligent Transportation Systems in Foreign Countries

The construction of Intelligent Transportation Systems has been increasingly valued by countries worldwide. A proper mechanism for promoting the construction of Intelligent Transportation Systems is very important for the smooth development of these Systems. Based on the construction of Intelligent Transportation Systems in foreign countries, this article intends to analyze the development modes, organizational settings, as well as the formulation of appropriate policies and standards. It then sums up the valuable experience for the construction of China’s Intelligent Transportation Systems.

스마트한 지능형 교통체계 구축을 위한 ITS 관련법령 정비에 관한 연구

In Korea, it is constructing the Intelligent Transportation System(ITS) in according with the ITS project implementation guideline and each ITS standard on the basis of National Integrated Transportation System Efficiency Act. However, only a few ITS project implementation guideline and ITS standard for the exchange of information technologies are not able to construct a smart ITS, without technical regulation for the technical characteristics of the main ITS equipment. Therefore, in this paper, we identify the current status and problems of the legal system and look for the necessity of technical regulation enactment for the smart ITS construction.