APLICATION OF SHOCK WINE `THEORY IN DETERMINING VEHICLE QUEUING LENGTH ON SIGNALIZED INTERSECTION ARM

• Main Author: Kasan (MM: 250 96 053), Muhammad
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/8717
• Institution: Institut Teknologi Bandung

Abstract: <br /> <br /> <br /> <br /> <br /> The length of queuing on road intersection arm is one of intersection performance criteria. Many methods can be used to determine queuing length, one of them is shock wave theory. This research is attempted to compare queuing lengths between theoretical and field observation. The research location as case study was selected on Ir. H. Juanda - Ganesa road intersection at Bandung, in particular on North arm of Ir. H. Juanda that consist of two lanes namely, left lane which has width of 3,25 m. and right lane which has width of 3,00 m. These lanes are analysed separately. <br /> <br /> <br /> <br /> <br /> The data collections were carried out on two places, the first is on the up-stream link that its traffic undisturbed by intersection operation, and the second is on the approach. The traffic data collected on the link were rate of flow and vehicle speed at time interval of 5 and 15 minutes in 12 hours 15 minutes duration. Whereas on approach were collected several data of queuing length and amount of vehicles in maximum stopped queuing, signal timing, and saturation flow, which are conducted at each cycle in duration of 2 hours 38 minutes for morning period and 2 hours 30 minutes for afternoon period. <br /> <br /> <br /> <br /> <br /> In traffic flow, vehicles were grouped in to three types viz : light vehicle, heavy vehicle, and motor cycle. Passenger car equivalent factor (pee) used was the pee for two-lane one-way urban road. Traffic flow characteristic was analysed by Greenshields, Greenberg and Underwood model approach. Statistically result for all three models are acceptable. Evaluation of selected model was based on data correlation, jam density, and capacity criteria, which concluded that only the Greenshields model could be used to determine queuing length by shock wave theory. <br /> <br /> <br /> <br /> <br /> Queuing length was calculated for eight conditions, viz.: combination between left or right lane, morning or afternoon period, and 5 or 15 minutes interval: The result shows that statistically the theoretical queuing lengths in m. unit were greater than site observation for all eight conditions, but in passenger car unit may were equal. These phenomena indicate that there is difference of traffic flow characteristic parameters between theoretical and field condition.