Impact of data resolution on peak hour factor estimation for transportation decisions

AbstractInductance loop detection systems serve as a primary data source to contemporary traffic information systems. Measures like 20-second or 30-second average velocity, flow, and lane occupancy can be aggregated from individual loop detector actuation sampled at 60 Hz typically. Practically, these measures would sometimes be further aggregated into a much lower, e.g. 15-minute, resolution and then the raw data were lost. Valuable traffic information like flow variation may be distorted when the lower resolution aggregation is practiced. A biased conclusion could be drawn from a data integration system consisted of this kind of distortions. Three approaches estimating a peak hour factor based on traffic volume from loop detection systems are introduced in this paper to explore such a quality issue for data integration systems. Peak hour factor is commonly used in Highway Capacity Manual for determining and evaluating future system needs. By processing the raw data with the introduced approaches, different PHFs can be determined from a same traffic dataset. It is found that 2% to 5% (about one standard deviation from the mean) reduction in PHF may have 5 to 20 seconds increase in control delay estimation. The results suggest that distortion of control delay estimation at a signalized intersection exists due to an improper aggregation. That is, data quality might not be good enough for a right decision if the data were not processed appropriately.

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Faktor-Faktor Sukses Wirausaha Wanita di Sumatera Barat

Jurnal Manajemen Stratejik dan Simulasi Bisnis ◽

10.25077/mssb.1.2.91-111.2020 ◽

2020 ◽

Vol 1 (2) ◽

pp. 91-111

Author(s):

Indah Maya Sari

Keyword(s):

Marital Status ◽

Information And Communication Technology ◽

Communication Technology ◽

Economic Condition ◽

Primary Data ◽

The Internet ◽

Raw Data ◽

Labor Market Conditions ◽

West Sumatra ◽

Information And Communication

Abstract Overpopulation in an area will affect labor market conditions, which is characterized by an increase in the number of unemployed in highly populated areas. Entrepreneurship is one solution that can help the economic condition. The entrepreneur can solve excess labor or help reduce unemployment. The high number of women in West Sumatra each year is a huge potential, especially in entrepreneurship. Success in entrepreneurship is the goal of every woman in entrepreneurship. This research aims to see how the factors of marital status, experience, and use of Information and Communication Technology (ICT) such as the use of the telephone and the internet influence women's success in entrepreneurship. This study uses primary data “raw data” Susenas 2019. The results show that marital status, telephone use and internet use and experience influence women's success in entrepreneurship in West Sumatra. Abstrak Overpopulasi di suatu daerah akan mempengaruhi kondisi pasar kerja yang ditandai dengan meningkatnya jumlah pengangguran di daerah berpenduduk tinggi. Kewirausahaan merupakan salah satu solusi yang dapat membantu kondisi perekonomian tersebut. Wirausaha dapat menyelesaikan kelebihan tenaga kerja atau membantu mengurangi jumlah pengangguran. Tingginya jumlah penduduk wanita di Sumatera Barat setiap tahun merupakan potensi yang sangat besar, khususnya dalam berwirausaha. Sukses berwirausaha merupakan tujuan setiap wanita dalam berwirausaha. Penelitian ini bertujuan untuk melihat bagaimana faktor status perkawinan, pengalaman, dan penggunaan Teknologi Informasi dan Komunikasi (TIK) seperti penggunaan telepon, dan internet dalam mempengaruhi keberhasilan wanita dalam berwirausaha. Penelitian ini menggunakan data primer yaitu “raw data” Susenas tahun 2019. Hasil penelitian menunjukkan bahwa status perkawinan, penggunaan telepon dan penggunaan internet serta pengalaman berpengaruh terhadap keberhasilan wanita dalam berwirausaha di Sumatera Barat.

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Power Neighboring Interval Matching Based PMC Integration

Journal of Circuits System and Computers ◽

10.1142/s0218126616500869 ◽

2016 ◽

Vol 25 (08) ◽

pp. 1650086

Author(s):

Yuelong Li ◽

Jigang Wu ◽

Yawen Chen ◽

Jason Mair ◽

David Eyers ◽

...

Keyword(s):

Data Integration ◽

Power Consumption ◽

Power Dissipation ◽

System Performance ◽

Performance Monitoring ◽

Power Estimation ◽

Raw Data ◽

Integration Approach ◽

Common Task ◽

The Status

Performance monitoring counters (PMCs) are of great value to monitor the status of processors and their further analysis and modeling. In this paper, we explore a novel problem called PMC integration, i.e., how to combine a group of PMCs which are collected asynchronously together. It is well known that, due to hardware constraints, the number of PMCs that can be measured concurrently is strictly limited. It means we cannot directly acquire all the phenomenon features that are related with the system performance. Clearly, this source raw data shortage is extremely frustrating to PMCs based analysis and modeling tasks, such as PMCs based power estimation. To deal with this problem, we introduce a neighboring interval power values based PMC data integration approach. Based on the activity similarity of easily collected power dissipation values, the proposed approach can automatically combine distinct categories of PMC data together and hence realize the recovery of intact raw PMC data. In addition, the significance and effectiveness of the proposed approach are experimentally verified on a common task, the PMCs based power consumption modeling.

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Analysis of Maintenance Policies for Inductive Loop Detection Systems

Journal of Infrastructure Systems ◽

10.1061/(asce)1076-0342(2007)13:3(215) ◽

2007 ◽

Vol 13 (3) ◽

pp. 215-224 ◽

Cited By ~ 2

Author(s):

Jun Yao ◽

Hualiang Teng ◽

Lester A. Hoel

Keyword(s):

Inductive Loop ◽

Detection Systems ◽

Loop Detection ◽

Maintenance Policies

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VEHICLE TRAJECTORY BASED CONTROL DELAY ESTIMATION AT INTERSECTIONS USING LOW-FREQUENCY FLOATING CAR SAMPLING DATA

Transport ◽

10.3846/transport.2020.11962 ◽

2020 ◽

Vol 35 (5) ◽

pp. 523-532 ◽

Cited By ~ 1

Author(s):

Hua Wang ◽

Changlong Gu

Keyword(s):

Probability Model ◽

Estimation Method ◽

Low Frequency ◽

Reference Method ◽

Geometric Probability ◽

Delay Estimation ◽

Peak Period ◽

Control Delay ◽

Floating Car Data ◽

Vehicle Trajectory

Control delay is an important parameter that is used in the optimization of traffic signal timings and the estimation of the level of service at signalized intersection. However, it is also a parameter that is very difficult to estimate. In recent years, floating car data has emerged as an important data source for traffic state monitoring as a result of high accuracy, wide coverage and availability regardless of meteorological conditions, but has done little for control delay estimation. This article proposes a vehicle trajectory based control delay estimation method using low-frequency floating car data. Considering the sparseness and randomness of low-frequency floating car data, we use historical data to capture the deceleration and acceleration patterns. Combined with the low-frequency samples, the spatial and temporal ranges where a vehicle starts to decelerate and stop accelerating are calculated. These are used together with the control delay probability distribution function obtained based on the geometric probability model, to calculate the expected value of the control delay for each vehicle. The proposed method and a reference method are compared with the truth. The results show that the proposed method has a root mean square error of 11.8 s compared to 13.7 s for the reference method for the peak period. The corresponding values for the off-peak period are 9.3 s and 12.5 s. In addition to better accuracy, the mean and standard deviation statistics show that the proposed method outperforms the reference method and is therefore, more reliable. This successful estimation of control delay from sparse data paves the way for a more widespread use of floating car data for monitoring the state of intersections in road networks.

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Enhancing pre-defined workflows with ad hoc analytics using Galaxy, Docker and Jupyter

10.1101/075457 ◽

2016 ◽

Author(s):

Björn A. Grüning ◽

Eric Rasche ◽

Boris Rebolledo-Jaramillo ◽

Carl Eberhard ◽

Torsten Houwaart ◽

...

Keyword(s):

Ad Hoc ◽

Primary Data ◽

Sequencing Data ◽

Raw Data ◽

Exploratory Stage ◽

Hybrid Platform

AbstractWhat does it take to convert a heap of sequencing data into a publishable result? First, common tools are employed to reduce primary data (sequencing reads) to a form suitable for further analyses (i.e., list of variable sites). The subsequent exploratory stage is much more ad hoc and requires development of custom scripts making it problematic for biomedical researchers. Here we describe a hybrid platform combining common analysis pathways with exploratory environments. It aims at fully encompassing and simplifying the “raw data-to-publication” pathway and making it reproducible.

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Mixed-methods study of integration of housing and medical data systems for enhanced service coordination of people with HIV

International Journal of Care Coordination ◽

10.1177/2053434520913206 ◽

2020 ◽

Vol 23 (1) ◽

pp. 43-51 ◽

Cited By ~ 1

Author(s):

Vivian L Towe ◽

Laura Bogart ◽

Ryan McBain ◽

Lisa Wagner ◽

Clare Stevens ◽

...

Keyword(s):

Mixed Methods ◽

Focus Group ◽

Data Integration ◽

Service Providers ◽

Data System ◽

Primary Data ◽

Service Coordination ◽

Data Systems ◽

Care Providers ◽

Two Systems

Introduction Housing is a determinant of HIV-related medical outcomes. Care coordination has been successfully used to treat patients with HIV and can be improved through electronic exchange of patient data, including housing data. Methods Primary data were collected from four sites across the U.S., each comprising partnerships between local HIV medical and housing providers. Between March 2017 and May 2018, we conducted a mixed-methods evaluation, focusing on preparatory activities, implementation of tasks related to data integration, and service coordination. Nineteen focus group discussions were conducted with providers, organizational leaders, and clients. Ten interviews were conducted with data system vendors and administrators. Site visits, logs, and progress reports provided information about data integration progress and other activities. Results Key activities included changes to client consent, setting up data use agreements, and planning with data system vendors. Sites selected one of three models: one-way data transmission between two systems, bidirectional transmission between two systems, and integration into one data system. Focus group discussion themes included: challenges of using existing data systems; concerns about the burden of learning a new data system; and potential benefits to providers and client, such as having more time to spend delivering client services. Discussion Using health information technologies to share data has widespread support, but uptake is still met with resistance from end users. The additional level of complexity differentiating this study from others is the exchange of data between service providers and care providers, but sites were able to accomplish this goal by navigating extensive barriers.

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Vision Based Displacement Detection for Stabilized UAV Control on Cloud Server

Mobile Information Systems ◽

10.1155/2016/8937176 ◽

2016 ◽

Vol 2016 ◽

pp. 1-11 ◽

Cited By ~ 3

Author(s):

Hyeok-June Jeong ◽

Jeong Dan Choi ◽

Young-Guk Ha

Keyword(s):

Image Processing ◽

High Performance ◽

Functional Performance ◽

Vertical Movement ◽

Traffic Information ◽

Detection Systems ◽

Speeded Up Robust Features ◽

Aerial Vehicle ◽

External Forces ◽

Processing Techniques

Nowadays, image processing solution is used in many fields such as traffic information systems and illegal intrusion detection systems. Now, to assist with the control of camera-equipped devices, appropriate image processing techniques are needed for moving rather than fixed observers. For achieving this goal, an algorithm should derive the desired results quickly and accurately; thus, this paper considers two characteristics: functional performance (reliability) and temporal performance (efficiency). Reliability means how well the desired results can be achieved, and efficiency means how quickly the result can be calculated. This paper suggests an optimized real-time image algorithm based on the integration of the optical flow and Speeded-Up Robust Features (SURF) algorithms. This algorithm determines horizontal or vertical movement of the camera and then extracts its displacement. The proposed algorithm can be used to stabilize an Unmanned Aerial Vehicle (UAV) in situations where it is drifting due to inertia and external forces, like wind, in parallel. The proposed algorithm is efficient in achieving drift stabilization by movement detection; however, it is not appropriate for image processing in small UAVs. To solve this problem, this study proposes an image processing method that uses a high-performance computer.

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Integrating Semi-Open Data in a Criminal Judicial Setting

Achieving Open Justice through Citizen Participation and Transparency - Advances in Public Policy and Administration ◽

10.4018/978-1-5225-0717-8.ch007 ◽

2017 ◽

pp. 137-156 ◽

Cited By ~ 2

Author(s):

Mortaza S. Bargh ◽

Sunil Choenni ◽

Ronald F. Meijer

Keyword(s):

Data Integration ◽

Open Data ◽

Management Systems ◽

Public Prosecutor ◽

Data Sets ◽

New Paradigm ◽

Criminal Cases ◽

Raw Data ◽

The Public ◽

Data Requirements

Judiciary systems comprise various partner organizations (e.g., police, public prosecutor, courts, and rehabilitation centres) that collaboratively resolve criminal cases. These partner organizations have their own data administration and management systems, which are setup/operated separately and integrated barely. This chapter explains the approach of the authors' organization for integrating the data sets of the Dutch judiciary systems, and for opening the data integration outcomes to the public and/or to specific groups. These outcomes (e.g., data sets and reports) are meant to provide useful insights into (the performances of) the partner organizations individually and collectively. Such data opening efforts do not comply with all Open Data requirements, mainly due to the quality, (privacy) sensitivity and interoperability issues of the raw data. Nevertheless, since these initiatives aim at delivering some benefits of Open Data, the chapter introduces the new paradigm of Semi-Open Data for acknowledging such data opening initiatives.

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