The development of new technologies has caused a huge amount of data to be produced and collected daily by digital devices and telecommunication equipment. Over the last few years, experts and decision-makers have taken the advantage of using these valuable data sources to solve problems in various fields. For instance managers and planners, especially in developed countries, use the generated big data for various purposes such as analyzing and evaluating transportation systems, identifying traffic bottlenecks and providing appropriate solutions, solving safety issues, reducing uncertainty in transportation systems, and optimizing the fleet and route of mass transportation systems for cargo and passengers.
In this regard, the Transportation Data Analysis Center has been established at the Iran University of Science and Technology to collect and analyze transportation data.
Having experience in interacting with different organizations
Having state-of-the-art hardware and software facilities in the field of data collection and analysis
Benefiting from a team of experts in various fields such as data analysis, geographic information system (GIS), transportation and traffic engineering, safety, etc.
Ready to carry out all kinds of transportation projects at the international level with the highest quality
So far, this center has processed and analyzed transportation big data and provided interactive reports in several projects of national and urban management and planning, as well as transportation system modeling.
The "Traffic Monitoring System" system utilizes traffic base map data, such as Google Maps and Neshan ...
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As a part of this project, the Transportation Data Analysis Center of Iran University of Science and Technology prepared the national travel demand database, including origin-destination matrices of cargo and passengers in the road, rail, air, and sea transportation.
The Transportation Data Analysis Center of the University of Science and Technology discovered the daily travel patterns by analyzing the mobile phone users database of Tehran.
The trajectory of vehicles is used as one of the richest datasets in traffic analysis. In this database, the vehicle's position is recorded over a period of time. Here at the Transportation Data Analysis Center, we identified and determined the vehicle's route by aerial image collection.
Nowadays, the use of Automatic Vehicle Location (AVL) equipment among public transport fleets has expanded dramatically. This equipment has created valuable databases for managing, monitoring, and planning the urban transportation network. In the Transport Data Analysis Center, we investigated the performance of the transportation network by analyzing the AVL database of Tehran's bus transit network.
E-pay options play an important role in transportation systems. In addition to making payments easier for travelers, they provide a valuable database for analyzing travel demand patterns. In the Transportation Big Data Analysis Center, several pieces of research have been conducted on electronic payment cards of Tehran transportation systems.
The Transportation Data Analysis Center of the University of Science and Technology is able to analyze the traffic congestion condition in Tehran's road network at different hours of the day and night by collecting and analyzing real-time traffic map data.
