|
|
|
|
|
|
| Toyota Mobility Foundation cooperates with the Ministry of Transport, Bangkok Metropolitan Administration, Metropolitan Police Bureau, Chulalongkorn University and Grab Thailand to use advanced data driven analytics and solutions to ease congestion on Rama4 in Bangkok |
BANGKOK, Nov 18, 2019 - (JCN Newswire) - 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 partnerships. 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 to 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.
About the Toyota Mobility Foundation
The Toyota Mobility Foundation was established in August 2014 to support the development of a more mobile society. The Foundation aims to support strong mobility systems while eliminating disparities in mobility. It utilizes Toyota's expertise in technology, safety, and the environment, working in partnership with universities, government, non-profit organizations, research institutions and other organizations to address mobility issues around the world. Programs include resolving urban transportation problems, expanding the utilization of personal mobility, and developing solutions for next-generation mobility
Contact:
Public Affairs Division
Global Communications Department
Toyota Motor Corporation
Tel: +81-3-3817-9926
Topic: Press release summary
Source: Toyota Motor Corporation
Sectors: Automotive
http://www.acnnewswire.com
From the Asia Corporate News Network
Copyright © 2024 ACN Newswire. All rights reserved. A division of Asia Corporate News Network.
|
|
|
|
|
|
|
| Toyota Motor Corporation |
| Nov 18, 2024 08:25 HKT/SGT |
|
Expanding Possibilities with the Liquid Hydrogen-Powered GR Corolla in the Season Final Round |
| Nov 12, 2024 19:04 HKT/SGT |
|
Toyota: HySE to participate in the Dakar 2025 "Mission 1000 ACT2" with the HySE-X2, to tackle further technical challenges |
| Nov 5, 2024 16:59 HKT/SGT |
|
Victory and world title for TOYOTA GAZOO Racing |
| Nov 4, 2024 08:36 HKT/SGT |
|
Joby Aviation and Toyota Accelerate Efforts to Realize Air Mobility |
| Oct 31, 2024 15:34 HKT/SGT |
|
NTT and Toyota Motor Corporation agree to joint initiative in the field of mobility and AI/telecommunications with the aim of realizing a society with zero traffic accidents |
| Oct 30, 2024 15:14 HKT/SGT |
|
Suzuki and Toyota to Deepen Collaboration in the Field of Electrified Vehicles |
| Oct 28, 2024 19:53 HKT/SGT |
|
Toyota Motor Corporation and Hyundai Motor Company Co-host Motorsport Event to Share the Excitement of Racing |
| Oct 25, 2024 21:56 HKT/SGT |
|
Title showdown beckons for TOYOTA GAZOO Racing |
| Oct 25, 2024 21:43 HKT/SGT |
|
TOYOTA GAZOO Racing to Exhibit Immersive Content at Super Taikyu Series 2024 Final Fuji |
| Oct 25, 2024 12:05 HKT/SGT |
|
Fujitsu and Toyota Systems Corporation achieve 50% reduction in core system update time using generative AI |
| More news >> |
 |
|
|
|
