THE EFFECTS OF OPERATION MODE OF SIGNAL CONTROL ON SIGNALIZED INTERSECTIONS: CASE STUDY FOR ISTANBUL HACIOSMAN ARTERIAL

Abstract

The number of metropolitan cities all over the world is increasing day by day. Similarly, traffic growth caused by growing population has also become a major problem nowadays. Especially in urban areas, one of the important issues is controlling the traffic at intersections by traffic signalization systems in general. An effective and feasible traffic control system is essential to cope with fluctuating traffic demands increasing day by day. In this context, it is necessary to understand the correct choice and preferred reasons for choosing the operation modes of traffic signal control systems. There are four common types of traffic signalization operating modes, which are pre-timed, semi-actuated, fully actuated and adaptive mode. These modes are also operated as isolated or coordinated with the nearby intersection according to their requirements. In this study, first the types of operations for traffic signalization systems are explained, and it is stated that which type should provide the solution in which conditions and why it should be preferred. Then six different scenarios were developed by using the mentioned signal operation modes for the three signalized intersections in the Istanbul Haciosman arterial. It is aimed to minimize the delays for mentioned arterial and intersections. For each scenario, necessary optimization and simulation studies were carried out with Synchro Studio, which is one of the micro-scale traffic simulation programs, and the results were compared. Finally, in one of the intersections, traffic volumes were increased and a study was conducted in order to discuss the feasibility for the usage of traffic sensors under oversaturated traffic conditions

Keywords

• Traffic signalization systems
• signalization operation modes
• pre-timed signals
• semi-actuated signals
• fully actuated signals
• adaptive signals
• smart junctions
• signal optimization
• simulation.

References

1. ⦁ Signalized Intersections Informal Guide Second Edition, U.S. Departmet of Transportation Federal Highway Administration, July 2013.
2. ⦁ Signal Timing Manual Second Edition, .S. Departmet of Transportation Federal Highway Administration, July 2015.
3. ⦁ Gündoğan F., (2012), “Simplified Traffic Responsive Signal Control Method for Developing Large Cities”, PhD. Dissertation, Graz University of Technology, Austria.
4. ⦁ Murat Y.Ş., (2001), “Sinyalize Kavşaklarda Bulanık Mantık Tekniği ile Trafik Uyumlu Sinyal Devre Modeli”, Doktora Tezi, İ.T.Ü. Fen Bilimleri Enstitüsü.
5. ⦁ Uysal Y., (2001), “Kavşak ve Kavşaklarda Sinyalizasyon”, Yüksek Lisans Tezi, Süleyman Demirel Üniversitesi Teknik Eğitim Fakültesi.
6. ⦁ Öztürk E.A., Çubuk M.K., Hatipoğlu S., (2008), “A Signal Timing Model for Ankara: Case Study at Beşevler Intersection”, Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 12-1 (2008): 49-57.
7. ⦁ Lee C.K., Yun I., Choi J., Ko S., Kim J., (2013), “Evaluation of Semi-Actuated Signals and Pedestrian Push Buttons using a Microscopic Traffic Simulation Model”, KSCE Journal of Civil Engineering, (2013) 17(7): 1749-1760.
8. ⦁ Chen L., Hu T., (2012), “Flow Equilibrium Under Dynamic Traffic Assignment and Signal Control-An Illustration of Pretimed and Actuated Signal Control Policies”, IEEE Transactions on intelligent transportation systems, Vol 13, No 3, September 2012: 1266-1276.

9. ⦁ Pandit K., Ghosal D., Zhang H.M., Chuah C., “Adaptive Traffic Signal Control With Vehicular Ad hoc Networks”, IEEE Transactions on vehicular technology, Vol 62, No 4, May 2013: 1459-1471.
10. ⦁ Tiaprasert K., Zhang Y., Wang X.B., Zeng X., “Queue Length Estimation Using Connected Vehicle Technology for Adaptive Signal Control”, IEEE Transactions on intelligent transportation systems, Vol 16, No 4, August 2015: 2129-2140.