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Optimal Coordination of Transportable Power Sources and Repair Crews for Service Restoration of Distribution Networks Considering Uncertainty of traffic Congestion

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 189-201页

作者： Zhao Shi Yan Xu Dunjian Xie Shiwei Xie Amer M.Y.M.Ghias Nanyang Technological University Singapore the school of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108China

This paper proposes a new method for service restoration of distribution network with the support of transportable power sources(TPSs)and repair crews(RCs).Firstly,a coupling model of distribution networks and vehicle routing of TPSs and RCs is proposed,where the TPSs serve as emergency power supply sources,and the RCs are used to repair the faulted *** the uncertainty of traffic congestion,the probability distribution of the travel time spent on each road is derived based on the Nesterov user equilibrium model,and a two-stage stochastic program is formulated to determine the optimal routings of TPSs and *** efficiently solve the proposed stochastic mixed-integer linear program(MILP),a two-phase scenario reduction method is then developed to scale down the problem size,and an adaptive progressive hedging algorithm is used for an efficient *** effectiveness of the proposed methods and algorithms has been illustrated in a modified IEEE 33-bus system.

关键词： Service restoration distribution network traffic uncertainty transportable power source repair crew stochastic program

Turnout fault diagnosis based on DBSCAN/PSO-SOM

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Journal of Measurement Science and Instrumentation 2022年第3期13卷 371-378页

作者： YANG Juhua LI Xutong XING Dongfeng CHEN Guangwu school of traf fic and transportation Lanzhou Jiaotong UniversityLanzhou 730070China Gansu Provincial Key Laboratory of traffic Information Engineering and Control Lanzhou 730070China Automatic Control Research Institute Lanzhou Jiao tong UhiversityLanzhou 730070China

In order to diagnose the common faults of railway switch control circuit,a fault diagnosis method based on density-based spatial clustering of applications with noise(DBSCAN)and self-organizing feature map(SOM)is ***,the three-phase current curve of the switch machine recorded by the micro-computer monitoring system is dealt with segmentally and then the feature parameters of the three-phase current are calculated according to the action principle of the switch *** to the high dimension of initial features,the DBSCAN algorithm is used to separate the sensitive features of fault diagnosis and construct the diagnostic sensitive feature ***,the particle swarm optimization(PSO)algorithm is used to adjust the weight of SOM network to modify the rules to avoid“dead neurons”.Finally,the PSO-SOM network fault classifier is designed to complete the classification and diagnosis of the samples to be *** experimental results show that this method can judge the fault mode of switch control circuit with less training samples,and the accuracy of fault diagnosis is higher than that of traditional SOM network.

关键词： turnout fault diagnosis density-based spatial clustering of applications with noise(DBSCAN) particle swarm optimization(PSO) self-organizing feature map(SOM)

Safety effects of work zone advisory systems under the intelligent connected vehicle environment:a microsimulation approach

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Journal of Intelligent and Connected Vehicles 2021年第1期4卷 16-27页

作者： Suyi Mao Guiming Xiao Jaeyoung Lee Ling Wang Zijin Wang Helai Huang school of traffic and transportation Engineering Central South UniversityChangshaChina College of transportation Engineering Tongji UniversityShanghaiChina Department of Civil Environmental and Construction EngineeringUniversity of Central FloridaOrlandoFloridaUSA

Purpose–This study aims to investigate the safety effects of work zone advisory *** traditional system includes a dynamic message sign(DMS),whereas the advanced system includes an in-vehicle work zone warning application under the connected vehicle(CV)***/methodology/approach–A comparative analysis was conducted based on the microsimulation ***–The results indicate that the CV-based warning system outperforms the *** this study,the optimal distances of placing a DMS varies according to different trafﬁc ***,negative inﬂuence of excessive distance DMS placed from the work zone would be more obvious when there is heavier trafﬁc ***,it is recommended that the optimal distance DMS placed from the work zone should be shortened if there is a trafﬁc *** was also revealed that higher market penetration rate of CVs will lead to safer network under good trafﬁc *** limitations/implications–Because this study used only microsimulation,the results do not reﬂect the real-world drivers’reactions to DMS and CV warning messages.A series of driving simulator experiments need to be conducted to capture the real driving behaviors so as to investigate the unresolved-related *** machine interface needs be used to simulate the process of in-vehicle warning information *** validation of the simulation model was not conducted because of the data *** implications–It suggests for the optimal DMS placement for improving the overall efﬁciency and safety under the CV ***/value–A trafﬁc network evaluation method considering both efﬁciency and safety is proposed by applying trafﬁc simulation.

关键词： Connected vehicles Driver behaviors and assistance Intelligent vehicles Vehicle dynamics and control Vehicle-to-infrastructure communication(V2I) Work zone Dynamic message sign(DMS) In-vehicle warning traffic simulation

An identification model of urban critical links with macroscopic fundamental diagram theory

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Frontiers of Computer Science 2017年第1期11卷 27-37页

作者： Wanli DONG Yunpeng WANG Haiyang YU school of transportation Science and Engineering Beihang University Beijing 100191 China Anhui Sun Create Electronics Co. Ltd. Hefei 230088 China

How to identify the critical links of the urban road network for actual traffic management and intelligent trans- portation control is an urgent problem, especially in the con- gestion environment. Most previous methods focus on traf- fic static characteristics for traffic planning and design. How- ever, actual traffic management and intelligent control need to identify relevant sections by dynamic traffic information for solving the problems of variable transportation system. Therefore, a city-wide traffic model that consists of three re- lational algorithms, is proposed to identify significant links of the road network by using macroscopic fundamental diagram （MFD） as traffic dynamic characteristics. Firstly, weighted- traffic flow and density extraction algorithm is provided with simulation modeling and regression analysis methods, based on MFD theory. Secondly, critical links identification algo- rithm is designed on the first algorithm, under specified prin- ciples. Finally, threshold algorithm is developed by cluster analysis. In addition, the algorithms are analyzed and applied in the simulation experiment of the road network of the cen- tral district in Hefei city, China. The results show that the model has good maneuverability and improves the shortcom- ings of the threshold judged by human. It provides an ap- proach to identify critical links for actual traffic management and intelligent control, and also gives a new method for eval- uating the planning and design effect of the urban road net- work.

关键词： urban road network critical links intelligent transportation system macroscopic fundamental diagram

Improving schedule adherence based on dynamic signal control and speed guidance in connected bus system

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Journal of Intelligent and Connected Vehicles 2020年第2期3卷 79-88页

作者： Mingjie Hao Yiming Bie Le Zhang Chengyuan Mao school of transportation Jilin UniversityChangchunChina school of Economics and Management Nanjing University of Science and TechnologyNanjingChina College of Engineering Zhejiang Normal UniversityJinhuaChina

Purpose–The purpose of this paper is to develop a dynamic control method to improve bus schedule adherence under connected bus ***/methodology/approach–The authors developed a dynamic programming model that optimally schedules the bus operating speed at road sections and multiple signal timing plans at intersections to improve bus schedule ***,the bus route was partitioned into three types of sections:stop,road and ***,transit agencies can control buses in real time based on all collected information;*** bus operating speed on road sections and adjust the signal timing plans through signal controllers to improve the schedule adherence in connected bus ***,bus punctuality at the downstream stop and the saturation degree deviations of intersections were selected as the evaluation criteria in optimizing signal control plans and bus speeds ***–An illustrative case study by using a bus rapid transit line in Jinan city was performed to verify the proposed *** revealed that based on the proposed strategy,the objective value could be reduced by 73.7%,which indicated that the punctuality was highly improved but not to incur excessive congestion for other vehicular trafﬁ***/value–In this paper,the authors applied speed guidance and the adjustment of the signal control plans for multiple cycles in advance to improve the scheduled stability;furthermore,the proposed control strategy can reduce the effect on private trafﬁcs to the utmost extend.

关键词： Dynamic programming Speed guidance Connected bus Schedule adherence Signal control

Lane-change path planning and control method for self-driving articulated trucks

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Journal of Intelligent and Connected Vehicles 2020年第2期3卷 49-66页

作者： Tao Peng Xingliang Liu Rui Fang Ronghui Zhang Yanwei Pang Tao Wang Yike Tong school of Electrical and Information Engineering Tianjin UniversityTianjinChina Joint Laboratory for Internet of Vehicles Ministry of Education-China Mobile Communications CorporationBeijingChina China Automotive Technology and Research Center Co.Ltd. TianjinChina Guangdong Key Laboratory of Intelligent transportation System School of Intelligent Systems EngineeringSun Yat-sen UniversityZhuhaiChina Tianjin University of Technology and Education TianjinChina Zhejiang University of Technology HangzhouChina

Purpose–This study aims to develop an automatic lane-change mechanism on highways for self-driving articulated trucks to improve trafﬁc ***/methodology/approach–The authors proposed a novel safety lane-change path planning and tracking control method for articulated vehicles.A double-Gaussian distribution was introduced to deduce the lane-change trajectories of tractor and trailer coupling characteristics of intelligent vehicles and *** different steering and braking maneuvers,minimum safe distances were modeled and *** safety and ergonomics,the authors invested multilevel self-driving modes that serve as the basis of decision-making for vehicle ***,a combined controller was designed by feedback linearization and single-point preview optimization to ensure the path tracking and robust *** hardware in the loop simulation platform was built to verify the effectiveness of the designed ***–The numerical simulation results demonstrated the path-planning model feasibility and controller-combined decision mechanism effectiveness to self-driving *** proposed trajectory model could provide safety lane-change path planning,and the designed controller could ensure good tracking and robust stability for the closed-loop nonlinear ***/value–This is a fundamental research of intelligent local path planning and automatic control for articulated *** are two main contributions:theﬁrst is a more quantiﬁable trajectory model for self-driving articulated vehicles,which provides the opportunity to adapt vehicle and scene *** second involves designing a feedback linearization controller,combined with a multi-objective decision-making mode,to improve the comprehensive performance of intelligent *** study provides a valuable reference to develop advanced driving assistant system and intelligent control systems for self-driving articulated vehicles.

关键词： Feedback linearization Combined controller Double Gaussian distribution Lane-change path planning Preview optimization Self-driving articulated truck

Optimal Routing with Spatial-Temporal Dependencies for traffic Flow Control in Intelligent transportation Systems

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Intelligent Automation & Soft Computing 2023年第5期36卷 2071-2084页

作者： R.B.Sarooraj S.Prayla Shyry school of Computing Sathyabama Institute of Science and TechnologyChennai600119India

In Intelligent transportation Systems(ITS),controlling the trafﬁcﬂow of a region in a city is the major ***,allocation of the trafﬁc-free route to the taxi drivers during peak hours is one of the challenges to control the trafﬁcﬂ***,in this paper,the route between the taxi driver and pickup location or hotspot with the spatial-temporal dependencies is ***,the hotspots in a region are clustered using the density-based spatial clustering of applications with noise(DBSCAN)algorithm toﬁnd the hot spots at the peak hours in an urban ***,the optimal route is allocated to the taxi driver to pick up the customer in the *** allocating the optimal route,each route between the taxi driver and the hot spot is mapped to the number of taxi *** the map function,the optimal map is selected using the rain opti-mization algorithm(ROA).If more than one map function is obtained as the opti-mal solution,the map between the route and the taxi driver who has done the least number of trips in the day is chosen as theﬁnal solution This optimal route selec-tion leads to control of the trafﬁcﬂow at peak *** of the approach depicts that the proposed trafﬁcﬂow control scheme reduces traveling time,wait-ing time,fuel consumption,and emission.

关键词： Intelligent transportation system(ITS) DBSCAN rain optimization algorithm(ROA) trafﬁcﬂow control

Deepflow: Hiding Anonymous Communication traffic in P2P Streaming Networks

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Wuhan University Journal of Natural Sciences 2014年第5期19卷 417-425页

作者： LV Jianming ZHU Chaoyun TANG Shaohua YANG Can school of Computer Science and Engineering South China University of Technology

The anonymous communication systems usually have special traffic patterns, which can be detected by censors for further disturbing or blocking. To solve this problem, we present a novel system, Deepflow, to hide anonymous communication traf- fic into the P2P streaming networks such as PPStream by using steganography. Each Deepflow node joins the PPStream network and performs like a normal PPStream client watching a live chan- nel, while embedding communication data into video packets transferred in the network. The steganographed video packets are disseminated by innocuous PPStream clients and reach the target Deepflow node. It is not necessary for Deepflow nodes to link together in the network, which prevents malicious users from sensing IP address of other Deepflow nodes. Deepflow is competent for secret chatting, transferring text documents, or publishing secret bootstrapping information for other anonymous communication systems. Comprehensive experiments in real network environments are conducted in this paper to show the security and efficiency of Deepflow.

关键词： anonymity anticensorship Peer-to-Peer streaming

Identification and Acknowledgment of Programmed traffic Sign Utilizing Profound Convolutional Neural Organization

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Intelligent Automation & Soft Computing 2023年第2期35卷 1527-1543页

作者： P.Vigneshwaran N.Prasath M.Islabudeen A.Arunand A.K.Sampath Department of Networking and Communications SRM Institute of Science and TechnologyKattankulathurChennai603203India Department of Computer Science and Engineering School of EngineeringPresidency UniversityBengaluru560064India

trafﬁc signs are basic security workplaces making the rounds,which expects a huge part in coordinating busy time gridlock direct,ensuring the pros-perity of the road and dealing with the smooth segment of vehicles and indivi-duals by walking,*** a segment of the clever transportation structure,the acknowledgment of trafﬁc signs is basic for the driving assistance system,trafﬁc sign upkeep,self-administering driving,and various *** are different assessments turns out achieved for trafﬁc sign acknowledgment in the ***,most of the works are only for explicit arrangements of trafﬁc signs,for example,beyond what many would consider a possible ***ﬁc sign recognizable proof is generally seen as trying on account of various complexities,for example,extended establishments of trafﬁc sign *** critical issues exist during the time spent identiﬁcation(ID)and afﬁrmation of trafﬁc *** signs are occasionally blocked not entirely by various vehicles and various articles are accessible in busy time gridlock scenes which make the signed acknowledgment hard and walkers,various vehicles,constructions,and loads up may frustrate the ID structure by plans like that of road *** concealing information from trafﬁc scene pictures is affected by moving light achieved by environment conditions,time(day-night),and ***ﬁc sign revelation and afﬁrmation structure has two guideline sorts out:The essential stage incorpo-rates the trafﬁc sign limitation and the resulting stage portrays the perceived trafﬁc signs into a particular class.

关键词： trafﬁc sign classiﬁer convolution neural network image vehicle