Traffic classification research has been suffering from a trouble of collecting accurate samples with ground truth.A model named Traffic Labeller(TL) is proposed to solve this problem.TL system captures all user socke...Traffic classification research has been suffering from a trouble of collecting accurate samples with ground truth.A model named Traffic Labeller(TL) is proposed to solve this problem.TL system captures all user socket calls and their corresponding application process information in the user mode on a Windows host.Once a sending data call has been captured,its 5-tuple {source IP,destination IP,source port,destination port and transport layer protocol},associated with its application information,is sent to an intermediate NDIS driver in the kernel mode.Then the intermediate driver writes application type information on TOS field of the IP packets which match the 5-tuple.In this way,each IP packet sent from the Windows host carries their application information.Therefore,traffic samples collected on the network have been labelled with the accurate application information and can be used for training effective traffic classification models.展开更多
Traffic flow prediction is an important component for real-time traffic-adaptive signal control in urban arterial networks.By exploring available detector and signal controller information from neighboring intersectio...Traffic flow prediction is an important component for real-time traffic-adaptive signal control in urban arterial networks.By exploring available detector and signal controller information from neighboring intersections,a dynamic data-driven flow prediction model was developed.The model consists of two prediction components based on the signal states(red or green) for each movement at an upstream intersection.The characteristics of each signal state were carefully examined and the corresponding travel time from the upstream intersection to the approach in question at the downstream intersection was predicted.With an online turning proportion estimation method,along with the predicted travel times,the anticipated vehicle arrivals can be forecasted at the downstream intersection.The model performance was tested at a set of two signalized intersections located in the city of Gainesville,Florida,USA,using the CORSIM microscopic simulation package.Analysis results show that the model agrees well with empirical arrival data measured at 10 s intervals within an acceptable range of 10%-20%,and show a normal distribution.It is reasonably believed that the model has potential applicability for use in truly proactive real-time traffic adaptive signal control systems.展开更多
This paper discusses the prospect of high efficiency motors based on usage in industrial sectors. In fact, energy consumption is globally classified into the industrial sector, transport system, residential and commer...This paper discusses the prospect of high efficiency motors based on usage in industrial sectors. In fact, energy consumption is globally classified into the industrial sector, transport system, residential and commercial building, agriculture and others sectors. In all the sectors, energy is eventually consumed by electrical appliances and equipments and the industrial sector accounts for the largest share of the overall energy consumption. The study concerns to identify the energy consumption using qualitative method. The main emphasis was given to comparison of the motor with high efficiency motors （HEMs） and traditional standard motors to investigate energy savings. According to the study, industrial sector has up to 25% of electrical energy conservation potential. Almost 70%-75% of the electrical energy consumption in industry is on account of use of electrical motors being used by pumps, fans, compressors and other motor driven system. Therefore, the potential for energy conservation through electric motors is quite high. Using high efficiency motors （HEMs） can thus reduce the losses and hence save vital energy costs. This paper will provide a contribution to electrical motors arena and will be a systematic knowledge base for researchers in this field.展开更多
Intelligent connected vehicles(ICVs) are believed to change people's life in the near future by making the transportation safer,cleaner and more comfortable. Although many prototypes of ICVs have been developed to...Intelligent connected vehicles(ICVs) are believed to change people's life in the near future by making the transportation safer,cleaner and more comfortable. Although many prototypes of ICVs have been developed to prove the concept of autonomous driving and the feasibility of improving traffic efficiency, there still exists a significant gap before achieving mass production of high-level ICVs. The objective of this study is to present an overview of both the state of the art and future perspectives of key technologies that are needed for future ICVs. It is a challenging task to review all related works and predict their future perspectives, especially for such a complex and interdisciplinary area of research. This article is organized to overview the ICV key technologies by answering three questions: what are the milestones in the history of ICVs; what are the electronic components needed for building an ICV platform; and what are the essential algorithms to enable intelligent driving? To answer the first question, the article has reviewed the history and the development milestones of ICVs. For the second question, the recent technology advances in electrical/electronic architecture, sensors, and actuators are presented. For the third question, the article focuses on the algorithms in decision making, as the perception and control algorithm are covered in the development of sensors and actuators. To achieve correct decision-making, there exist two different approaches: the principle-based approach and data-driven approach. The advantages and limitations of both approaches are explained and analyzed. Currently automotive engineers are concerned more with the vehicle platform technology, whereas the academic researchers prefer to focus on theoretical algorithms. However, only by incorporating elements from both worlds can we accelerate the production of high-level ICVs.展开更多
Objective：To evaluate the efficacy of a first aid training course for a group of drivers.Methods：This study comprised 500 drivers,randomly selected from the road transport companies.They underwent a course of first ...Objective：To evaluate the efficacy of a first aid training course for a group of drivers.Methods：This study comprised 500 drivers,randomly selected from the road transport companies.They underwent a course of first aid training and the results were evaluated at 0-3 and 4-6 months after training.Results：Both quantitative and qualitative improvements were observed in the drivers＇ efficacy in giving first aid.Also the rate of correct interventions was higher at 4-6 months than at 0-3 months.The exception was airway management which was not favorably improved after training.Conclusion：The first aid training course for drivers is beneficial and helpful for prehospital care system in road traffic accidents.展开更多
Green finance has emerged as a driver for China’s pursuit of sustainable growth Since last October,the main public transit operator in north China’s city of Tianjin,the Tianjin Public Transportation Group.
基金ACKNOWLEDGEMENT This research was partially supported by the National Basic Research Program of China （973 Program） under Grant No. 2011CB30- 2605 the National High Technology Research and Development Program of China （863 Pro- gram） under Grant No. 2012AA012502+3 种基金 the National Key Technology Research and Dev- elopment Program of China under Grant No. 2012BAH37B00 the Program for New Cen- tury Excellent Talents in University under Gr- ant No. NCET-10-0863 the National Natural Science Foundation of China under Grants No 61173078, No. 61203105, No. 61173079, No. 61070130, No. 60903176 and the Provincial Natural Science Foundation of Shandong under Grants No. ZR2012FM010, No. ZR2011FZ001, No. ZR2010FM047, No. ZR2010FQ028, No. ZR2012FQ016.
文摘Traffic classification research has been suffering from a trouble of collecting accurate samples with ground truth.A model named Traffic Labeller(TL) is proposed to solve this problem.TL system captures all user socket calls and their corresponding application process information in the user mode on a Windows host.Once a sending data call has been captured,its 5-tuple {source IP,destination IP,source port,destination port and transport layer protocol},associated with its application information,is sent to an intermediate NDIS driver in the kernel mode.Then the intermediate driver writes application type information on TOS field of the IP packets which match the 5-tuple.In this way,each IP packet sent from the Windows host carries their application information.Therefore,traffic samples collected on the network have been labelled with the accurate application information and can be used for training effective traffic classification models.
基金Project(71101109) supported by the National Natural Science Foundation of China
文摘Traffic flow prediction is an important component for real-time traffic-adaptive signal control in urban arterial networks.By exploring available detector and signal controller information from neighboring intersections,a dynamic data-driven flow prediction model was developed.The model consists of two prediction components based on the signal states(red or green) for each movement at an upstream intersection.The characteristics of each signal state were carefully examined and the corresponding travel time from the upstream intersection to the approach in question at the downstream intersection was predicted.With an online turning proportion estimation method,along with the predicted travel times,the anticipated vehicle arrivals can be forecasted at the downstream intersection.The model performance was tested at a set of two signalized intersections located in the city of Gainesville,Florida,USA,using the CORSIM microscopic simulation package.Analysis results show that the model agrees well with empirical arrival data measured at 10 s intervals within an acceptable range of 10%-20%,and show a normal distribution.It is reasonably believed that the model has potential applicability for use in truly proactive real-time traffic adaptive signal control systems.
文摘This paper discusses the prospect of high efficiency motors based on usage in industrial sectors. In fact, energy consumption is globally classified into the industrial sector, transport system, residential and commercial building, agriculture and others sectors. In all the sectors, energy is eventually consumed by electrical appliances and equipments and the industrial sector accounts for the largest share of the overall energy consumption. The study concerns to identify the energy consumption using qualitative method. The main emphasis was given to comparison of the motor with high efficiency motors （HEMs） and traditional standard motors to investigate energy savings. According to the study, industrial sector has up to 25% of electrical energy conservation potential. Almost 70%-75% of the electrical energy consumption in industry is on account of use of electrical motors being used by pumps, fans, compressors and other motor driven system. Therefore, the potential for energy conservation through electric motors is quite high. Using high efficiency motors （HEMs） can thus reduce the losses and hence save vital energy costs. This paper will provide a contribution to electrical motors arena and will be a systematic knowledge base for researchers in this field.
基金supported by the International Science and Technology Cooperation Program of China(Grant No.2016YFE0102200)the National Natural Science Foundation of China(Grant No.61773234)+1 种基金the National Key R&D Program of China(Grant No.2108YFB0105004)and Beijing Municipal Science and Technology Commission(Grant Nos.D171100005117001&D171100005117002)
文摘Intelligent connected vehicles(ICVs) are believed to change people's life in the near future by making the transportation safer,cleaner and more comfortable. Although many prototypes of ICVs have been developed to prove the concept of autonomous driving and the feasibility of improving traffic efficiency, there still exists a significant gap before achieving mass production of high-level ICVs. The objective of this study is to present an overview of both the state of the art and future perspectives of key technologies that are needed for future ICVs. It is a challenging task to review all related works and predict their future perspectives, especially for such a complex and interdisciplinary area of research. This article is organized to overview the ICV key technologies by answering three questions: what are the milestones in the history of ICVs; what are the electronic components needed for building an ICV platform; and what are the essential algorithms to enable intelligent driving? To answer the first question, the article has reviewed the history and the development milestones of ICVs. For the second question, the recent technology advances in electrical/electronic architecture, sensors, and actuators are presented. For the third question, the article focuses on the algorithms in decision making, as the perception and control algorithm are covered in the development of sensors and actuators. To achieve correct decision-making, there exist two different approaches: the principle-based approach and data-driven approach. The advantages and limitations of both approaches are explained and analyzed. Currently automotive engineers are concerned more with the vehicle platform technology, whereas the academic researchers prefer to focus on theoretical algorithms. However, only by incorporating elements from both worlds can we accelerate the production of high-level ICVs.
文摘Objective：To evaluate the efficacy of a first aid training course for a group of drivers.Methods：This study comprised 500 drivers,randomly selected from the road transport companies.They underwent a course of first aid training and the results were evaluated at 0-3 and 4-6 months after training.Results：Both quantitative and qualitative improvements were observed in the drivers＇ efficacy in giving first aid.Also the rate of correct interventions was higher at 4-6 months than at 0-3 months.The exception was airway management which was not favorably improved after training.Conclusion：The first aid training course for drivers is beneficial and helpful for prehospital care system in road traffic accidents.
文摘Green finance has emerged as a driver for China’s pursuit of sustainable growth Since last October,the main public transit operator in north China’s city of Tianjin,the Tianjin Public Transportation Group.
