Visualized construction traffic planning for disturbance free city development (Byggfrid)
|Coordinator||Linköpings universitet - Institutionen för teknik och naturvetenskap|
|Funding from Vinnova||SEK 4 950 959|
|Project duration||November 2018 - December 2021|
|Venture||Innovationer för ett hållbart samhälle|
Purpose and goal
During construction projects the demand of infrastructure capacity increase at the same time as the available capacity decrease. This is because of lack of overview of the total traffic demand and a lack of coordination of construction transports. The purpose of the project is to develop knowledge and competence that allow for the development of planning systems that can visualize the traffic impact of development and traffic plans during city planning. The goal is to decrease congestion, improve construction efficiency and make the city attractive during the construction time.
Expected results and effects
When discussing effects, there is a need to understand that not pro-actively handling the construction traffic have a cost, e.g. ques and congestion, increased cost of infrastructure maintenance. The project will provide: 1)A methodology to estimate construction traffic flows 2)Models to estimate the construction traffic impact on the city based on different data sources 3)Visualization prototypes to explore different construction traffic administration scenarios 4)Input to improve policy documents and city and traffic planning processes
Planned approach and implementation
The developed system will combine city planning 3D models with traffic simulation models that dynamically can calculate traffic flows and real time traffic data (an iterative development of VISUM through applied research with the municipality of Norrköping and the Swedish Traffic Administration project Ostlänken as use case). The system should provide decision support for municipalities and developers regarding development plans and traffic administration. The project takes a multi-stakeholder and cross-disciplinary perspective.