FITSRUS - The Smart Transport Corridor Helsinki-St. Petersburg
Overview
Objectives:
The project Smart Transport Corridor (STC) between Helsinki and St. Petersburg aims to improve sustainable mobility and effective flows of goods by systematically utilising advanced ITS services. The Smart Transport Corridor covers all modes: road, rail, sea and air and addresses both personal and freight transport including also ports and terminals and border crossings.
The main objectives of the Smart Transport Corridor development are:
- To enable smooth, safe, secure and sustainable mobility and transport on the
- corridor and to improve border crossing operations effectiveness.
- To introduce smart services and solutions based on advanced measures and
- technology in problem solving for the fulfilment of various user group
- requirements and needs.
- To define an infrastructure for collecting and managing the data as an open
- platform for all stakeholders and users to enhance the take-up of intelligent
- services and advanced traffic management.
- To enhance cooperation between public and private stakeholders in both countries in solving the transport problems in the corridor and utilising the emerging business opportunities and fostering the growth of economies.
- To increase competences, skills and know-how of Intelligent Transport Systems
- deployment in both countries.
Methodology:
The project has three different methodological sections:
Analyses of economic development, and studies of freight and passenger transport. Economic analyses were done using a macroeconomic simulation model of ETLA, which was used to analyse a baseline scenario and alternative scenarios of economic development in the Russian Federation. The results were utilised to construct the level of export and import of goods for 2020 and 2030. These flows were further analysed by the Frisbee-model through presentation of the flows on a transport network according to cost optimization principles.
For passenger transport the cross-border traffic was analysed using a model of
interaction, where two types of travelling zones were identified.
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