A driver-centric green light optimal speed advisory (DC-GLOSA) for improving road traffic congestion at urban intersections

With a rapid increase of automobiles and driver licenses, road traffic congestion (RTC) is becoming a more serious problem in many countries. In addition, continuing urbanization all around the world makes this problem more severe especially at urban intersections. In this paper, we present a new green light optimal speed advisory (GLOSA), called the driver-centric GLOSA (DC-GLOSA), which advises the degree of acceleration/braking by comparing the current vehicle mobility with several reference mobility models. We argue that the DC-GLOSA can achieve higher fuel efficiency, better driving comfort, and less driver's distraction. To validate our argument, we conduct a real experiments at an intersection in Pusan National University campus. From the numerical results, we demonstrate that the DC-GLOSA can reduce 23.9% of the intersection stopping time (IST) on average.