Asphalt concrete rutting predicted using the PEDRO model

Hassan Hakim

This paper presents a theoretical viscoelastic approach, called PEDRO(PErmanent Deformation of asphalt concrete layers for ROads), for predicting rut formation in asphalt concrete materials subjected to traffic loading. Input data are traffic parameters, asphalt concrete viscosity and asphalt layer thickness. Vertical strains that cause rutting in the pavement were estimated using the PEDRO approach. A large-size type of wheel tracking machine, which has the capability to subject asphalt concrete slabs to different loadings has been used to study the effects of wheel load and tyre pressure. Rut development in the slabs under various loading conditions was predicted. The approach has shown reasonable results as regards predicting densification and shear rutting in tested asphaltconcrete slabs.



Shipping and the environment – research meets reality

Centre for Transport Studies (CTS) in co-operation with Ports of Stockholm invite you to the seminar Shipping and the environment – research meets reality.



Simulation of cut-in by manually driven vehicles in platooning scenarios

A study in a VTI-driving simulator has showed that a platoon will be able to handle a cut in from a manually driven car. The results of this study have recently been presented at two conferences in Japan.



The five-year anniversary of European Road Profile Users' Group (ERPUG) Forum will take place at Ramboll head quarter, Copenhagen, Denmark October 19-20, 2017.


Self-driving buses in Sweden next year?

A self-driving, fossil-free bus. This idea might become reality through a forthcoming collaborative project involving the Swedish National Road and Transport Research Institute (VTI), Linköping University and several other participants. The project group aim...


New climate-proof solutions for hard surfaces in cities

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VTI is preparing for automated vehicles

Automation of traffic systems will lead to major changes. The European Union’s (EU) CoEXist research project began in June 2017 with the aim of preparing cities and road operators for the introduction of self-driving vehicles. The Swedish National Road and...


Vehicle Driver Monitoring: sleepiness and cognitive load

To prevent road crashes it is important to understand driver related contributing factors, which have been suggested to be the critical reason in 94 per cent of crashes. The overall aim of the project Vehicle Driver Monitoring has been to advance the...