Abstract
Most of the Lithuanian cities try to achieve public transport priority by the provision of special dedicated public transport lanes. However, the possible priority measures at signalised intersections receive less attention. This paper explains common signal control strategies applied at isolated intersections in the cities around the world and estimated their effects on the travel times of both, public transport and general traffic. The analysis employs well recognised PTV VISSIM simulation environment and VisVAP graphical programming interface to implement and test priority measures under question. The results indicate that priority actions significantly reduce public transport delays up to 60%, without high adverse impact on general traffic delays.
Highlights
IntroductionTraffic signal control of isolated intersections mainly has two alternatives: fixed time control and actuated (semi-actuated or fully actuated) control
Traffic signal control of isolated intersections mainly has two alternatives: fixed time control and actuated control.In fixed time control, stage sequence, cycle length, and splits are constant and independent of traffic demand, which has to be served at the intersection
As it is seen from the actuated control logic outperforms fixed time controller at the intervals of low traffic demand, first and last ten minutes
Summary
Traffic signal control of isolated intersections mainly has two alternatives: fixed time control and actuated (semi-actuated or fully actuated) control. Stage sequence, cycle length, and splits are constant and independent of traffic demand, which has to be served at the intersection. Isolated intersection featuring fixed time control usually has several predefined signal programs, switched during different periods of the day. Intersections have signal programs that are tailored to morning peak, off-peak and evening peak periods (Hamilton et al 2013). For road safety reasons, the sequence of stages is usually pre-determined. The cycle length and the time devoted to each stage varies on a cycle-by-cycle basis and strictly depends on demand (Pascale et al 2012)
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