With the increasing traffic congestion and hazardous air pollution it is still a key issue to find an objective and dynamic method to control the traffic flow of urban places. The paper proposes a complex system that is based on Radio Frequency Identification (RFID) technology, the 17-digit Vehicular Identification Number (VIN) and a Decision Making System (DMS) augmented with proper traffic regulation algorithms that can modify the traffic flow in real time. In addition to this, it is possible to obtain an approximation of objective air pollution data for each vehicle type by using the complex system which can be used by local authorities to redefine the roadspace allocation in cities.
Autor / Author: | Szabó, György; Wirth, Ervin; Czinkoczky, Anna |
Institution / Institution: | Budapest University of Technology and Economics, Hungary; Budapest University of Technology and Economics, Hungary; Szent István University, Budapest, Hungary |
Seitenzahl / Pages: | 8 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA − Journal of Digital Landscape Architecture, 3-2018 |
Tagung / Conference: | Digital Landscape Architecture 2018 – Expanding the Boundaries: Landscape Architecture in a Big Data World |
Veranstaltungsort, -datum / Venue, Date: | Munich-Freising, Germany 30-05-18 - 02-06-18 |
Schlüsselwörter (de): | |
Keywords (en): | RFID, VIN, real time traffic control |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537642034 |
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