Abstract
In large urbanized cities, a major problem that affects the economy and health of all citizens is vehicular congestion. This is because the traffic light cycles are not adequate. In the present study, we seek to optimize traffic light cycles based on simulation, in order to improve vehicle flow. For this, the PTV Vissim 9.0 software was used as a simulator and the Synchro 10.0 software to determine the initial optimal traffic light cycle. Through several runs and having as variables the length of queues, delay times and the average speed, the optimal traffic light cycle could be found for the study area. The results obtained reflect a 14% reduction in delay times and 10% in queue lengths. On the other hand, the average vehicle speed increased by 10.56%. All this represents an improvement in the service level of the study intersections.
Highlights
The growth of the motor park in the major cities of the world brings with it the increase in vehicular congestion, which has an impact on the economy and health of all citizens
The results obtained indicate that the delay times decrease by 14% and with respect to the average speed of vehicles per access increases by 10.56%
Average vehicle speed increased by 10.56%, which represents an increase in the volume of traffic that flows through the intersection for each traffic light cycle
Summary
The growth of the motor park in the major cities of the world brings with it the increase in vehicular congestion, which has an impact on the economy and health of all citizens. The first concerns Adaptive Traffic Control Systems (ATCS), which consist of changing the duration of the traffic light cycle based on sensors located on the tracks which detect queued vehicles in real time Managing this system requires a high operating cost and qualified personnel. 3.1 Data collection and analysis To optimize traffic light cycles based on simulation, information was required from high vehicle density intersections in which the following were performed: i.
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