When the building boom of smart city set off all over the world, in order to seize the commanding heights of the construction of smart city, many of the cities in our country have introduced a variety of measures to build smart city planning. Presently, the construction of the smart city in China has stepped into the fast lane and is becoming a nationwide boom. Meanwhile, with the continuous progress of urbanization in China, the number of car ownership has been rapidly increasing and traffic congestion has become a frequent occurrence. In consideration of the nonlinear and time-varying characteristics of traffic, it is difficult for traditional traffic congestion evacuation strategies to cope with the complex changes of the traffic flow due to their poor adaptability. In addition, traditional evacuation assignment strategies are seldom made from the perspective of traffic flow relevance, which results in low efficiency on traffic congestion evacuation. However, during the construction of smart city, the wide application of technologies related to Internet of Things in various fields of smart city, which makes it possible to realize the instantaneity of information perception and technique collection, and helps to improve the sensory ability of the system. Based on this, and under the background of smart city, this paper puts forward a multi-agent-based concept of “model prediction, dynamic calculations, online feedback, beforehand evacuation” and researches on the evacuation strategies of urban traffic congestion.
목차
Abstract 1. Introduction 2. The Real-Time Acquisition of Traffic Data and the Building of Traffic Flow Predictive Model 2.1. The Real-Time Acquisition of Traffic Data 2.2. Traffic Data Preprocessing 2.3. The Construction of Traffic Flow Predication Model 3. Beforehand Evacuation Decision-Making of Urban Traffic Network based on the Technology of Internet of Things 3.1. Symbol Definition 3.2. The Evolution Model of Drivers’ Path Selection Mode under Induced Information 4. Research on the Efficiency of Complex Road Network and the Evaluation of Beforehand Evacuation 4.1. Evaluation Index 4.2. The Evaluation of Beforeh and Evacuation in Urban Traffic Network 5. Conclusion References
키워드
smart cityInternet of Thingstraffic flowmodel predictionbeforehand evacuation
저자
Fang Li [ School of Civil Engineering and Architecture, Nanchang University, Nanchang, Jiangxi ]
Bofu ZHENG [ School of Resources, Environment & Chemical Engineering, Nanchang University, Nanchang, Jiangxi ]
보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Smart Home
간기
격월간
pISSN
1975-4094
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Smart Home Vol.10 No.11