Title :
Performance evaluation of stage skipping and new data sources compared against MOVA control
Author :
Hamilton, Andrew ; Waterson, B. ; Snell, I. ; Andrews, Mark
Author_Institution :
Transp. Res. Group, Univ. of Southampton, Southampton, UK
Abstract :
This research describes a novel Delay Minimisation Algorithm (DEMA) for traffic signal control, which operates without a predetermined stage order. The paper includes a technical review of the problems surrounding a more flexible system compared to the traditional `cycle based´ approach. Applying DEMA to a case study intersection (currently controlled by MOVA) resulted in statistically significant improvements in performance across a range of demand scenarios. During congested conditions, there was a reduction of 5.62% in mean delay and up to a 22.17% reduction during lower demand scenarios. The mean journey time also reduced, ranging from a 3.52% to a 24.01% reduction.
Keywords :
minimisation; road traffic control; signalling; statistical analysis; DEMA; MOVA control; congested conditions; cycle based approach; data sources; delay minimisation algorithm; mean delay; mean journey time; microprocessor optimised vehicle actuation; performance evaluation; stage skipping; traffic signal control; Delays; Equations; Mathematical model; Roads; Traffic control; Vehicles; MOVA comparison; Stage skipping; delay minimisation; novel traffic control;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6958096