Determination of Optimum Green Interval for Intersections with Excessive Green Time

Main Article Content

Onanong Sangphong
Siradol Siridhara


Design traffic signal is too long green time resulting in inefficient flow of the intersection. Since the capacity of the intersection is not fully and increase a delay to the other direction. Traffic characteristic at intersections have green time too long. Traffic flow will be passed only during when the start green time that direction until there is no queue. There are not traffic flow through intersections although the situation in green time period. And the other direction at a red time is received it will be queuing. As a result the potential to motivate behavior driving through red time and the risk of accidents followed. That such a split would occur with not traffic flow through while the green time / Traffic demand less than the design traffic signal that is green time.

The capacity loss can be obtained from the flow of traffic during the green period from a saturated approach. The  method  of integration,  were recruited from the area function relationship of the graph. Will find that the capacity loss at the beginning less than the end of green phase, It is too long green time. This study to adjust optimum green time by considers design traffic signal using a balance between capacity loss at the beginning and the end of green phase. Change traffic light to appropriate by reducing the green green intervals. Change new cycle length is  83 second from the original traffic lights is cycle length 94 second ,result the morning to reduce the capacity loss 161 vehicles per hour and the evening will reduce the capacity loss 215 vehicles per hour. Optimum green time interval for intersections will be increase capacity at intersection.


Download data is not yet available.

Article Details

How to Cite
Sangphong, O., & Siridhara, S. (2014). Determination of Optimum Green Interval for Intersections with Excessive Green Time. Naresuan University Engineering Journal, 6(1), 34–40.
Research Paper