【摘要】：當(dāng)今社會快速發(fā)展,我國城市的堵車、污染等問題日益嚴(yán)重,加上現(xiàn)有系統(tǒng)對大量數(shù)據(jù)和信息處理的滯后,嚴(yán)重制約了我國城市交通的發(fā)展。隨著物聯(lián)網(wǎng)的出現(xiàn),人們把現(xiàn)有的交通系統(tǒng)與物聯(lián)網(wǎng)技術(shù)結(jié)合起來,提出了智慧交通的理念,并把物聯(lián)網(wǎng)技術(shù)應(yīng)用到智慧交通系統(tǒng)的構(gòu)建中,這使得智慧交通系統(tǒng)成為城市進程中改善道路交通發(fā)展?fàn)顩r的必然選擇,智慧交通與物聯(lián)網(wǎng)的結(jié)合能夠使我們當(dāng)今糟糕的交通問題得到進一步的改善。城市道路交通是城市在基礎(chǔ)設(shè)施中的重要組成部分、城市的生命線和血管,也是城市人流和物流的載體,在城市交通運輸中起著重要作用,因此本課題具有一定的理論意義和實踐意義,具有長遠的發(fā)展前景。 本文主要工作有：提出和設(shè)計了基于物聯(lián)網(wǎng)的城市智慧交通系統(tǒng)的體系構(gòu)架,并對蟻群最優(yōu)路徑算法進行了改進。首先,在對城市交通研究背景和意義的基礎(chǔ)上,概括分析了國內(nèi)外學(xué)者對物聯(lián)網(wǎng)和智慧交通建設(shè)的研究；介紹了物聯(lián)網(wǎng)的概念、特征、體系結(jié)構(gòu)以及其關(guān)鍵技術(shù),為下文提供了理論支持。其次,在需求分析和可行性分析的基礎(chǔ)上結(jié)合系統(tǒng)構(gòu)建的原則和目標(biāo),建立了基于物聯(lián)網(wǎng)的城市交通模型,提出和設(shè)計了基于物聯(lián)網(wǎng)的城市智慧交通系統(tǒng)的體系架構(gòu)。最后,在系統(tǒng)的最優(yōu)路徑算法方面,介紹了Dijkstra算法、啟發(fā)式算法A*、遺傳算法、Floyd算法和蟻群算法等算法,提出了對蟻群算法的改進方法,并驗證了其優(yōu)越性。本文在基于物聯(lián)網(wǎng)的城市智慧交通系統(tǒng)的體系架構(gòu)和對蟻群算法在求解最優(yōu)路徑的改進方面還有不足,還需要進一步完善。隨著物聯(lián)網(wǎng)技術(shù)的發(fā)展和算法的不斷完善,城市智慧交通系統(tǒng)的建設(shè)會更加實用和有效。
[Abstract]:With the rapid development of our society, the problems of traffic jam and pollution in our country are becoming more and more serious, and the existing system lags behind in dealing with a large amount of data and information, which seriously restricts the development of urban traffic in our country. With the emergence of the Internet of things, people combine the existing transportation system with the Internet of things technology, put forward the concept of intelligent transportation, and apply the Internet of things technology to the construction of intelligent transportation system. This makes the intelligent transportation system become an inevitable choice to improve the development of road traffic in the urban process. The combination of intelligent transportation and the Internet of things can further improve our bad traffic problems today. Urban road traffic is an important part of urban infrastructure, the lifeline and blood vessel of the city, as well as the carrier of urban human flow and logistics, which plays an important role in urban transportation. Therefore, this subject has certain theoretical and practical significance, and has a long-term development prospects. The main work of this paper is as follows: the architecture of urban intelligent transportation system based on the Internet of things is proposed and designed, and the ant colony optimal path algorithm is improved. First of all, based on the background and significance of urban transportation research, this paper summarizes and analyzes the research on Internet of things and intelligent transportation construction by domestic and foreign scholars, introduces the concept, characteristics, architecture and key technologies of Internet of things. It provides theoretical support for the following. Secondly, based on the requirement analysis and feasibility analysis, the urban traffic model based on the Internet of things is established, and the architecture of the intelligent urban transportation system based on the Internet of things is proposed and designed based on the principles and objectives of the system. Finally, Dijkstra algorithm, heuristic algorithm, genetic algorithm, Floyd algorithm and ant colony algorithm are introduced in the aspect of optimal path algorithm of the system. The improved method of ant colony algorithm is put forward, and its superiority is verified. In this paper, the architecture of urban intelligent transportation system based on the Internet of things and the improvement of ant colony algorithm in solving the optimal path are still insufficient and need to be further improved. With the development of Internet of things technology and the improvement of algorithms, the construction of urban intelligent transportation system will be more practical and effective.
【學(xué)位授予單位】：大連交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP301.6;F572

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