Application of area traffic control using the max-pressure algorithm

ABSTRACT

This paper proposes an application of max-pressure control for network-wide signal control at Bandung, Indonesia. The max-pressure approach is employed for a specific disturbed network system synthetic scenario, created with the aim to simulate spillback conditions which causing long congestion across road segments in real traffic conditions. The max-pressure controller is implemented for a network of six signalized intersections in PTV Vissim, a traffic micro-simulation platform. The validated model is generated before implementing in the Vissim traffic simulation. Three types of controller are studied: the currently implemented controller (fixed time controller), cycle-based max-pressure and slotted-based max-pressure. The simulation results show that max-pressure control is more powerful than the currently implemented technique in terms of the capability to avoid congestion by spreading vehicles to other road segments with respect to some events that can be seen as a disturbance.

KEYWORDS:

• Area traffic control
• network
• max-pressure control
• distributed system
• coordinated control
• case study

Acknowledgments

The authors gratefully acknowledge Mr. Taufik Sumardi from the Research and Development Center of Roads and Bridges (PUSJATAN), the Ministry of Public Works of Indonesia for help using the Vissim simulator. The work was supported by the Basic Research Program 2018-2020, the Ministry of Research, Technology and Higher Education, Republic of Indonesia. One author - E. Joelianto - was partially supported by the United States Agency for International Development (USAID) through the Sustainable Higher Education Research Alliances (SHERA) Program – Centre for Collaborative (CCR) National Center for Sustainable Transportation Technology (NCSTT) under contract No. IIE00000078-ITB-1.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was supported by the Basic Research Program 2018-2020, the Ministry of Research, Technology and Higher Education, Republic of Indonesia. One author - E. Joelianto - was partially supported by the United States Agency for International Development (USAID) through the Sustainable Higher Education Research Alliances (SHERA) Program – Centre for Collaborative (CCR) National Center for Sustainable Transportation Technology (NCSTT) under contract No. IIE00000078-ITB-1.