Rapid growth in transportation demand and limited transportation facilities cause traffic congestion. Congestion costs commuter time, depletes resources, and causes pollution. Some solutions for reducing congestion are to create new transportation facilities and increase the efficiency of the existing facilities. However, these solutions are constrained by limited resources.

 

Intelligent Transportation Systems (ITS) incorporates advanced technologies into different levels of transportation management to increase traffic efficiency. Advanced management subsystems in ITS, such as traveler information systems, freeway and arterial management systems, emergency management, and parking management, increasingly rely on traffic data that reflects real-time traffic network conditions. This data is measured and collected by traffic detection systems. Quality of traffic data influences the proper functions of the systems. Likewise, traditional transportation management divisions, such as transportation planning and pavement maintenance, also require traffic data. The data collected must be plentiful, diverse, and accurate. These complex data requirements present a challenge to traffic detection systems.

 

Intelligent Transportation Systems (ITS) employing computer and communications technology to make them safer and more efficient, have proven beneficial in many major cities across the globe. However, as of yet, there is no complete ITS installed in Moscow, Russia. AGA Group had signed the contract for the design of ITS for the City of Moscow. You can download brief description of the first stage from our Research page (In Russian only).