A new methodology for identification the formation of traffic bottlenecks in real-time
In an era of unprecedented global urbanization, urban society is facing a growing demand for mobility, which creates enormous pressure on the urban road networks [1, 2]. As a result, we face severe traffic congestions and increasing fuel consumption that in the long-run increases air pollution. In the short term, however, the increase in traffic loads, alongside the increase in the use of mobile navigation apps, disconnects the natural linkages between traffic planning and land use allocation.