Pedestrian traffic monitoring is in its infancy, and the volatility of pedestrian traffic creates a need for guidance on site selection in traffic monitoring programs. A robust knowledge base surrounding pedestrian traffic patterns and the degree to which a single counting station is representative of a larger area are essential in developing an accurate program for estimating pedestrian traffic volumes. This research analysed long term hourly data from automated pedestrian counting devices on four consecutive blocks along an entertainment area corridor to determine the shifts in temporal pedestrian traffic characteristics and volumes along a corridor. Features of the built environment were identified that can aid in estimating pedestrian traffic patterns along a corridor. Results indicate daily pedestrian traffic volumes can vary significantly between consecutive city blocks, limiting the applicability of a single count location to represent a larger area. Additionally, shifts in temporal traffic patterns occur over short distances. / May 2016

Abstract Flying is a three dimensional exercise that is combined with time. It includes application of theory, realistic space handling and management of time. In order to let pilot feel the handling, tempo, movement in space, aircraft attitude and radio communication procedure for flying, it is a brand new challenge to develop digitization teaching material of flying handling skill for audio/video and assisting of simulation machine function weak point of the visual effect, use it to help student pilot with understanding the knowledge of flying handling. This research initially statistically analyzed the training completion and drop-out data of 18 Basic Flying Training classes of the Chinese Air Force Academy, from the academic year of 88 to 92. The research found that the traffic pattern phase has 21.8% of drop-out rate among the 35.2% of the whole training drop-out rate. Furthermore, 16 out of 18 classes had the highest drop-out rate during the traffic pattern phase. Therefore, The purpose of this research lies in offering digitization teaching material for audio/video in order to help student pilot with understanding and learning the flying skill for traffic pattern, in hopes of assisting student pilot on handling and concept and providing effective learning method and technical instruction for both the student pilot and the training unit to advance the performance of flying training. The question of this research includes: 1. Novel flying training and teaching assistance equipments. 2. Raising the traffic pattern phase training completion rate. 3. Raising the traffic pattern phase training performance. 4. Investigating the potential problems associated with flying training. The researcher is currently the Chinese Air Force Academy instructor pilot. Therefore, the researcher hopes through studying the law as the main research approach with oneself action of action research.In this research, the researcher except that collect putting to documents in order and devotes to develop digitization teaching material for audio/video and select two of the flying training classes of the current academic year, coordinating with the basic flying training schedule of the Chinese Air Force Academy. There will be surveys and interviews with case study through analysis tool for analyzing research data, after applied the traffic pattern digital Audio/Video. Lastly, the research procedure and data analysis will discover that action research has important value in the field of flight training and conclude critical influence factors for the teaching media aspect, unit administration aspect, flying training actual practice aspect, and flying students¡¦ aspect, in order to provide training advice and future research direction. Keywords: Traffic Pattern¡BTraining Performance¡BCritical Influence Factor¡BAction Research¡BDigital Audio/Video Learning Material

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The rapid growth of Internet Traffic has emerged as a major issue due to the rapid development of various network applications and Internet services. One of the challenges facing Internet Service Providers (ISPs) is to optimize the performance of their networks in the face of continuously increasing amounts of IP traffic while guaranteeing some specific Quality of Services (QoS). Therefore it is necessary for ISPs to study the traffic patterns and user behaviors in different localities, to estimate the application usage trends, and thereby to come up with solutions that can effectively, efficiently, and economically support their users’ traffic. The main objective of this thesis is to analyze and characterize traffic in a local multi-service residential IP network in Sweden (referred to in this report as “Network North”). The data about the amount of traffic was measured using a real-time traffic-monitoring tool from PacketLogic. Traffic from the monitored network to various destinations was captured and classified into 5 ring-wise locality levels in accordance with the traffic’s geographic destinations: traffic within Network North and traffic to the remainder of the North of Sweden, Sweden, Europe, and World. Parameters such as traffic patterns (e.g., traffic volume distribution, application usage, and application popularity) and user behavior (e.g., usage habits, user interests, etc.) at different geographic localities were studied in this project. As a result of a systematic and in-depth measurement and the fact that the number of content servers at the World, Europe, and Sweden levels are quite large, we recommend that an intelligent content distribution system be positioned at Level 1 localities in order to reduce the amount of duplicate traffic in the network and thereby removing this traffic load from the core network. The results of these measurements provide a temporal reference for ISPs of their present traffic and should allow them to better manage their network. However, due to certain circumstances the analysis was limited due to the set of available daily traffic traces. To provide a more trustworthy solution, a relatively longer-term, periodic, and seasonal traffic analysis could be done in the future based on the established measurement framework. / Den ökande tillväxten av Internet Trafik har blivit en viktig fråga med anledning av den snabba utvecklingen av olika internetbaserade applikationer och tjänster. En av utmaningarna för Internet leverantörerna är att optimera prestandan i sina nät inför de ständigt ökande datamängderna och samtidigt garantera kvalitet på tjänsterna (QoS). Därför är det nödvändigt för Internetleverantörer att studera trafikmönster och lokala differentierade användarbeteenden, för att uppskatta trender av nyttjande av internettjänster, och därmed komma med lösningar som effektivt och ekonomiskt stödja deras kunders trafik. Det främsta syftet med denna avhandling är att analysera och karaktärisera internettrafiken i ett lokalt IP baserat multiservicenätverk i Sverige (i denna rapport avseende "Network North"). Uppgifterna om trafikmängden mättes i realtid med ett övervakningsverktyg från PacketLogic. Trafik till och från det övervakade nätverkets olika destinationer fångades upp och delades in i 5 cirkelliknande lokaliseringsnivåer i enlighet med geografiska trafikdestinationer: trafik inom nätverket North och till resten av norra Sverige, Sverige, Europa och världen. Parametrar som trafikmönster (t.ex. distribuerad internettrafik mängd, användning av olika tjänster och applikationer med dess popularitet) och användarbeteenden (t.ex. användar-vanor och intressen, etc.) på olika geografiska lokaliseringsnivåer har studerades i inom projekt. Som ett resultat av de systematiska och djupgående internetmätningar med det faktum av det stora antalet existerande tjänsteinnehållsservrar som ofta finns placerad långt ifrån slutanvändaren, ute i världen eller i Europa som är ganska så många till antalet. Rekommenderar vi att ett intelligent tjänstedistributionssystem appliceras närmre slutanvändaren på en regional nivå, för att minska på dagens onödiga omfattande duplicerande internettrafik i nom stamnäteten. Resultaten av dessa trafikmätningar av internettrafik ger en tidsmässig referens för Internetleverantörerna av deras nuvarande trafik och bör göra det möjligt för dem att bättre hantera sin nätverksinfrastruktur. Men på grund av vissa omständigheter begränsades mätanalysen på grund av möjliga och tillgängliga tidrammar att utföra dagliga trafikmätningsuppsättningen. För att ge en mer tillförlitlig lösning kan en på en längre sikt, periodisk och säsongsbunden trafikanalys göras i framtiden, baserat på den etablerade mätinfrastrukturen.