Spatio-Temporal Analysis of Traffic Congestion Based on Data Obtained From Modern Technologies

سال انتشار: 1399
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 182

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شناسه ملی سند علمی:

NGTU02_011

تاریخ نمایه سازی: 12 مرداد 1400

چکیده مقاله:

Analysing traffic conditions and presenting appropriate methods for traffic flow management play a critical role in evaluating the performance of transportation systems. Among different methods of collecting traffic data, approaches based on new technologies that enable the collection of large volumes of dynamic spatio-temporal data and facilitate the extraction of trends and patterns have attracted more attention. .In this study, Tehran as the capital of Iran with its special socio-economic characteristics and the variety of trips that lead to variable traffic situation, has been studied. Using analysis and traffic image data processing relating to Tehran network, the trend of average changes in traffic congestion within Congestion Charging Zone (CCZ) Air Pollution Control Zone (APCZ) and out of these areas on working and non-working days have been investigated. The Moran’s I spatial autocorrelation index, indicates the congested regions in the study area. Also, Havmoler diagrams showed the trend of spatio-temporal changes of traffic congestion on weekdays and weekends.

نویسندگان

Matin Shahri

Department of Geoscience Engineering, Arak University of Technology, Daneshgah St., Arak, Iran