The Viettel Traffic Demand Management System (V-TDM) provides tools to help manage traffic demand by controlling the number of vehicles circulating within specific areas or during peak hours.
It enables flexible implementation of measures such as vehicle tolling, restricting access by route or within specific time frames, to reduce traffic pressure and improve urban operational efficiency.
Email:
Cskhdn@viettel.com.vnCustomer care:
18008000 - branch 8
The system is designed to directly influence and adjust the travel behaviors of road users to balance the demand for road network usage.
Utilize various measures such as road usage fees, dynamic lane management, or access control to specific areas or routes.
Frequently deploy management strategies in designated restricted areas, routes, or lanes.
Operate effectively based on real-time traffic data collection, monitoring, and processing, often integrated with the ITS big data, multi-source platform.
Management strategies and regulations can be flexibly adjusted according to the time of day, day of the year, or actual traffic and environmental conditions.
The system is capable of implementing defined demand management strategies to control traffic flow.
Provide functionality to control the permission or restriction of vehicles entering/exiting specific road sections or areas under management.
Allow the management of dedicated lane usage, such as based on the number of people in a vehicle.
Adjust road usage regulations based on environmental factors, such as air pollution levels.
Display information regarding regulations, restrictions, or traffic conditions to warn and advise drivers on suitable route options or behavior.
Directly contribute to significantly reducing traffic jams and improving traffic flow in urban areas.
Help road users and businesses reduce travel time and associated costs.
Contribute to reducing traffic accidents by smoothing traffic flow and raising public awareness of road safety.
Tighter monitoring and enforcement of regulations help increase awareness and compliance with traffic laws among road users.
Generate a large dataset on travel behaviors and the effectiveness of strategies, supporting future planning, analysis, and decision-making.