Peter Ataev who acted as a moderator, noted that the collection and processing of data is the basis for any transport project and the use of advanced technologies improves the deliverables quality. Our company pays great attention to this particular area, as one of our services is conducting field surveys. The number of attendees (more than 100) shows that this topic is of interest to a wide range of transport engineers.
In their presentations, Igor Gontar (MegaFon) and Elena Ananyeva (TomTom) demonstrated the benefits of using data from mobile operators and navigation systems in transport modeling. The technology is not yet 100% mature, but these methods of obtaining information about the city traffic seem to be much more precise than traditional traffic counts.
The presentations made by Alexander Ilchenko and Igor Shamirov reflected our vision of data collection. Alexander focused on the role of input data for preparation of transport planning documents and on the current regulatory framework. Igor's presentation provided a comprehensive overview of a wide range of transport infrastructure survey methods: road diagnostics, laser scanning, aerial photography, instrumental traffic flow measurements, etc. The listeners were especially interested in tethered UAVs, which make it possible to significantly increase the duration and coverage of traffic monitoring.
Ivan Chebykin (TrafficData) showed the possibilities of automating the traffic flow analysis based on machine vision videos. Ivan noted that the number-plate recognition allows the user to operate with a completely new level of data.
Konstantin Prudnikov (VTM dorproekt) made a presentation on the verification of simulation models using drones. He made a detailed review of the road project in Podolsk. Konstantin also mentioned the latest relaxations in the legislation that read that no flight permits are required for flights of UAV up to 30 kg in weight in visual line of sight at an altitude of less than 150 m during daylight hours.
At the end of the session, Konstantin Tikhonov (SIMETRA) spoke about quality assessment criteria for transport model input data and the experience of using various data sources, such as traffic counts, transponders, Platon system, and big data from mobile operators. Konstantin noted that data collection methods depend on a model type.
Videos and presentations will be soon available on the TEA website
In their presentations, Igor Gontar (MegaFon) and Elena Ananyeva (TomTom) demonstrated the benefits of using data from mobile operators and navigation systems in transport modeling. The technology is not yet 100% mature, but these methods of obtaining information about the city traffic seem to be much more precise than traditional traffic counts.
The presentations made by Alexander Ilchenko and Igor Shamirov reflected our vision of data collection. Alexander focused on the role of input data for preparation of transport planning documents and on the current regulatory framework. Igor's presentation provided a comprehensive overview of a wide range of transport infrastructure survey methods: road diagnostics, laser scanning, aerial photography, instrumental traffic flow measurements, etc. The listeners were especially interested in tethered UAVs, which make it possible to significantly increase the duration and coverage of traffic monitoring.
Ivan Chebykin (TrafficData) showed the possibilities of automating the traffic flow analysis based on machine vision videos. Ivan noted that the number-plate recognition allows the user to operate with a completely new level of data.
Konstantin Prudnikov (VTM dorproekt) made a presentation on the verification of simulation models using drones. He made a detailed review of the road project in Podolsk. Konstantin also mentioned the latest relaxations in the legislation that read that no flight permits are required for flights of UAV up to 30 kg in weight in visual line of sight at an altitude of less than 150 m during daylight hours.
At the end of the session, Konstantin Tikhonov (SIMETRA) spoke about quality assessment criteria for transport model input data and the experience of using various data sources, such as traffic counts, transponders, Platon system, and big data from mobile operators. Konstantin noted that data collection methods depend on a model type.
Videos and presentations will be soon available on the TEA website