STANDARD Project Team

Mr. Berk Anbaroglu
PhD Candidate

Detecting Non-Recurrent Congestion on Road Network

Non-recurrent congestion (NRC) occurs due to factors as weather, special events or traffic incidents which cause unexpected and temporary disruptions on the road network. It has important effects to the road network by decreasing the journey time reliability and the capacity of the road network. The vast increase on data supply via traffic sensors on road networks increased the opportunity and need to extract useful information from the road network data. By integrating the spatial and temporal dimensions within the data, the propagation of traffic congestion in space and time could be understood better, which might lead to better network planning and reduce the traffic congestion. This research aims to provide a better understanding of NRC across London’s road network by analysing the vast amount of data collected at different temporal scales by automatic-number plate recognition cameras (ANPR).


Principal Investigator
Dr. Tao Cheng

Prof. Benjamin Heydecker

Research Fellows
Dr. Ioannis Tsapakis
Dr. Jiaqiu Wang

Research Students
Mr. Berk Anbaroglu
Mr. James Haworth
Mr. Ed Manley
Ms. Garavig Tanaksaranond

Industrial Partners at TfL
Mr. Andy Emmonds
Mr. Jonathan Turner
Mr. Alexandre Santacreu

alt: Research Poster
Sponsored By:     University College London   Transport For London   Engineering and Phyical Research Council