Toyota Mobility Foundation joins Public, Private and Academic Parties to launch the Rama4 Project to ease traffic congestion in Bangkok | Corporate | Global Newsroom
Bangkok, Thailand (November 18, 2019)―Today, the Toyota Mobility Foundation and its partners agreed to launch a project to ease traffic congestion on Rama4 Road. It will be known as the “Rama4 Model.”
The launch event included representatives from the Ministry of Transport, Bangkok Metropolitan Administration, Metropolitan Police Bureau, Chulalongkorn University, Toyota Mobility Foundation and Grab (Taxi) Thailand.
During the event, participating parties used the occasion to discuss the objective and outline of the project. This project was initiated as an extension of the “Sathorn Model” which took place from 2015-2017 and achieved positive results through the implementation of a variety of countermeasures. These included traffic signal control optimizations, the introduction of smart shuttle services, flexible working time, park & ride, and more. These activities allowed the development of a clear roadmap to counter congestion, and the partners submitted it to the Thai government for implementation across the city.
This new “Rama4 Model” project, which will be funded through a grant of approximately 50 Million Baht from Toyota Mobility Foundation to Chulalongkorn University, is scheduled to last about 18 months from November 2019 through early 2021. It is a trial to study and test the ability to use advanced data-driven solutions that can ease traffic congestion on the Rama4 Road. The partners selected Rama4 Road as the location because it is one of the most congested areas in Bangkok. It embodies a unique set of circumstances including significant growth potential for new business and residential areas such as One Bangkok and Samyarn Mitrtown Project, among others.
The critical component of this project is the effective usage of huge and diverse sets of data from several sources such as GPS data from Grab Taxi and Public Buses, CCTV footage and multiple sensors. This data will be combined with new technology for analysis (AI and Machine Learning) and knowledge from mobility and technology experts from private and academic entities such as Chulalongkorn University, ITIC, AIT, Siametrics and Waycare. The project will seek to understand and visualize current traffic conditions and status, deeply comprehend trends and patterns to predict future traffic issues, and eventually gain insights for the design of traffic management systems, transportation networks and city planning adaptations. All the partners believe that this trial project will be “a big step towards Mobility for All.”
The key success factor for this project is to have good public, academic and private partnership. The government will show initiative and leadership to deliver data and eventually implement the identified countermeasures to solve traffic congestion issues for their citizens. Academic institutions, like Chulalongkorn University as the primary project coordinator, will push the most advanced technology and know-how to develop the skills and capabilities to manage this complex issue in Thailand. Private parties like Grab and AIT will contribute data and traffic optimization knowledge. Finally, the Toyota Mobility Foundation, as an independent foundation, will support through funding, mobility know-how, and project management.
It is clear that without close collaboration and cooperation of all parties, complex traffic issues cannot be solved. As the partners implement this project, it is equally critical that residents of Bangkok strongly take ownership and support these types of initiatives in order to enable the freedom of mobility for all.