%0 Journal Article %1 traffic %A Akhriev, Albert %A O’Brien, Brendan %A Peter O’Connor, Aaron %A Gutsche, Marcel %A Mande, Rohit %A Marecek, Jakub %A Schlattmann, Markus %A Tchrakian, Tigran %D 2018 %E Gutsche, Marcel %J The 21st IEEE International Conference on Intelligent Transportation Systems %K %T Traffic State Estimation using CCTV Video Data %X We propose to assimilate estimates of traffic density obtained by analysing data from a network of closedcircuit television (CCTV) cameras into a macroscopic model of traffic. For the purposes of illustration, we assimilate CCTV data, induction-loop data, and GPS-trajectories into the LWR model model of traffic in Dublin, Ireland.

@article{traffic, abstract = {We propose to assimilate estimates of traffic density obtained by analysing data from a network of closedcircuit television (CCTV) cameras into a macroscopic model of traffic. For the purposes of illustration, we assimilate CCTV data, induction-loop data, and GPS-trajectories into the LWR model model of traffic in Dublin, Ireland.}, added-at = {2018-09-24T15:02:56.000+0200}, author = {Akhriev, Albert and O’Brien, Brendan and Peter O’Connor, Aaron and Gutsche, Marcel and Mande, Rohit and Marecek, Jakub and Schlattmann, Markus and Tchrakian, Tigran}, biburl = {https://www.bibsonomy.org/bibtex/23b0c475cca1b9c44f7092a5b3710d1d9/mgutsche}, editor = {Gutsche, Marcel}, interhash = {7fc0b3e13ac50b140d2d8d2778bbdbab}, intrahash = {3b0c475cca1b9c44f7092a5b3710d1d9}, journal = {The 21st IEEE International Conference on Intelligent Transportation Systems}, keywords = {}, language = {English}, timestamp = {2018-09-24T15:02:56.000+0200}, title = {Traffic State Estimation using CCTV Video Data}, year = 2018 }