Hunt for Perfect Detection of Parking Occupancy: Evaluation of On-Street Technology and Its Ability to Address Urban Challenges

Author(s):  
Soumya S. Dey ◽  
Matthew Darst ◽  
Alek Pochowski ◽  
Benito O. Pérez ◽  
Eduardo Cardenas Sanchez

For better management of on-street parking, cities are searching for ways to understand current usage of their on-street supply. Options for collecting on-street parking occupancy information range from manual data collection, which tends to be slow and not in real time, to in-ground sensors, which can provide real-time data but are costly and may have other issues related to battery life and their placement in the roadbed. This paper evaluates the various data collection methods and technologies for on-street parking. The District of Columbia Department of Transportation’s experience with various on-street technologies to detect parking occupancy is described, with a focus on how the technologies were able to identify solutions to the urban challenges inherent in the District. Criteria for a more in-depth analysis of on-street occupancy detection technology are described and presented as the next steps in the evaluation.

Author(s):  
Isabelle Morris ◽  
Saul Shiffman ◽  
Ellen Beckjord ◽  
Stuart G. Ferguson

Ecological momentary assessment (EMA) methods provide a means by which researchers may attain highly detailed, ecologically valid, and contextually rich data on everyday experience and behavior. EMA methods are now widely used by researchers, particularly those studying health behaviors. A key reason for the popularity of EMA methods is that they allow researchers to examine both between- and within-individual differences in treatment efficacy and to explore the temporal sequences related to events of interest. Until relatively recently, EMA methods have predominately been employed as assessment and research tools. However, in recent years clinicians and researchers have begun to explore the value of real-time data collection methods as the foundation for providing tailored interventions that can respond to a patient’s behaviors, moods, social context, and geographical location. This chapter discusses how EMA data can potentially be utilized to improve the delivery of health interventions. The authors conclude that while there are clearly potential benefits of utilizing real-time data collection methods for treatment delivery, considerable work remains to ensure that EMA-based interventions are appropriate, theoretically derived, and ethical in their effects on privacy and confidentiality.


2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.


2019 ◽  
Vol 26 (1) ◽  
pp. 244-252 ◽  
Author(s):  
Shibom Basu ◽  
Jakub W. Kaminski ◽  
Ezequiel Panepucci ◽  
Chia-Ying Huang ◽  
Rangana Warshamanage ◽  
...  

At the Swiss Light Source macromolecular crystallography (MX) beamlines the collection of serial synchrotron crystallography (SSX) diffraction data is facilitated by the recent DA+ data acquisition and analysis software developments. The SSX suite allows easy, efficient and high-throughput measurements on a large number of crystals. The fast continuous diffraction-based two-dimensional grid scan method allows initial location of microcrystals. The CY+ GUI utility enables efficient assessment of a grid scan's analysis output and subsequent collection of multiple wedges of data (so-called minisets) from automatically selected positions in a serial and automated way. The automated data processing (adp) routines adapted to the SSX data collection mode provide near real time analysis for data in both CBF and HDF5 formats. The automatic data merging (adm) is the latest extension of the DA+ data analysis software routines. It utilizes the sxdm (SSX data merging) package, which provides automatic online scaling and merging of minisets and allows identification of a minisets subset resulting in the best quality of the final merged data. The results of both adp and adm are sent to the MX MongoDB database and displayed in the web-based tracker, which provides the user with on-the-fly feedback about the experiment.


Author(s):  
Shawn M. Turner

Travel time information is becoming more important for applications ranging from congestion measurement to real-time travel information. Several advanced techniques for travel time data collection are discussed, including electronic distance-measuring instruments (DMIs), computerized and video license plate matching, cellular phone tracking, automatic vehicle identification (AVI), automatic vehicle location (AVL), and video imaging. The various advanced techniques are described, the necessary equipment and procedures are outlined, the applications of each technique are discussed, and the advantages and disadvantages are summarized. Electronic DMIs are low in cost but typically limited to congestion monitoring applications. Computerized and video license plate matching are more expensive and would be most applicable for congestion measurement and monitoring. Cellular phone tracking, AVI, and AVL systems may require a significant investment in communications infrastructure, but they can provide real-time information. Video imaging is still in testing stages, with some uncertainty about costs and accuracy.


Author(s):  
James L. Wofford ◽  
James R. Kimberly ◽  
William P. Moran ◽  
David P. Miller ◽  
Jerry L. Hopping ◽  
...  

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