A challenging application of artificial intelligence systems involves the scheduling of traffic
signals in multi-intersection vehicular networks. This paper introduces a novel use of a multi …

Adaptive Traffic Control Systems (ATCSs), also known as real-time traffic control systems,
adjust, in real time, signal timings based on the current traffic conditions, demand, and …

Microsimulation modeling is one of the contemporary techniques that has potential to
perform complex transportation studies faster, safer, and in a less expensive manner …

Social insects such as ants and bees perform complex tasks with pheromone
communication despite lack of top-down style control. We have examined applications of …

Traffic signal timings can be optimized with offline or online tools. Offline tools, such as
Synchro, take a macroscopic approach, whereas genetic algorithm (GA) formulations rely on …

This paper presents a comparison between two widely deployed traffic adaptive control
systems, SCOOT and SCATS, and coordinated-actuated traffic control from the field. SCATS …

This paper compares three principal arterial corridors in Alabama under both conventional
and adaptive traffic signal control (ATSC). The corridors differ in their physical and …

Adaptive traffic control systems (ATCS) continuously adapt to changing traffic in order to
improve traffic performance at signalized intersections. Typical before–after studies evaluate …

This study investigates the presence of trucks in intersections with traffic signal priority with
the objectives of minimizing vehicle delay and reducing emissions. Extending the green …

Regular updating of traffic signal timing plans is very important for successful traffic control.
However, many jurisdictions fail to update signal timings because it is labor intensive and …