Peri-urban Peak Hour Travel Behaviour Study Using A Weigh-in-motion Data Processing Application Software
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| Publicat a: | WIT Transactions on the Built Environment vol. 146 (2015), p. 651 |
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| Altres autors: | , |
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W I T Press
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| Accés en línia: | Citation/Abstract Full Text - PDF |
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| 001 | 2263289625 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1746-4498 | ||
| 022 | |a 1743-3509 | ||
| 024 | 7 | |a 10.2495/UT150531 |2 doi | |
| 035 | |a 2263289625 | ||
| 045 | 2 | |b d20150101 |b d20151231 | |
| 100 | 1 | |a Ciont, N | |
| 245 | 1 | |a Peri-urban Peak Hour Travel Behaviour Study Using A Weigh-in-motion Data Processing Application Software | |
| 260 | |b W I T Press |c 2015 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a In this paper, the traffic volume processing functions of a designed application software are presented. The road traffic data is collected by a high-speed weigh-in-motion system, which converts the information into Microsoft Access format, providing separate files for each day. The application software uses the MS Access 2010 database management system, which is based on the Visual Basic for Applications programming language. Based on the processed data, the study analyses the peri-urban travel behaviour at the edge of a major city in Romania. Dedicated software functions were designed to provide daily volumes, weekly averages and peak hour traffic for three daily time intervals. Furthermore, this is done by being differentiated by travel directions, as well as altogether. The study was carried out separately for business days and weekends, using data collected from April 2013 until November 2014. Different travel behaviour trends were observed. Six logarithmic multiple linear regression models were established, describing the peak hour travel trends. The designed software and the obtained results can be used for a wide range of applications. | |
| 653 | |a Data base management systems | ||
| 653 | |a Motion systems | ||
| 653 | |a Software | ||
| 653 | |a Data processing | ||
| 653 | |a Regression analysis | ||
| 653 | |a Traffic information | ||
| 653 | |a Trends | ||
| 653 | |a Traffic | ||
| 653 | |a Regression models | ||
| 653 | |a Information systems | ||
| 653 | |a Peak hour traffic | ||
| 653 | |a Travel | ||
| 653 | |a Visual Basic for Applications | ||
| 653 | |a Computer programs | ||
| 653 | |a Traffic volume | ||
| 653 | |a Traffic speed | ||
| 653 | |a Visual programming languages | ||
| 700 | 1 | |a Cadar, R D | |
| 700 | 1 | |a Iliescu, M | |
| 773 | 0 | |t WIT Transactions on the Built Environment |g vol. 146 (2015), p. 651 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2263289625/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2263289625/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |