Validation of Google floating car data for applications in traffic management

Accurate and reliable traffic state estimations are extremely important for road operators and service providers, because they are the basis for decision making. Traffic movements are generally measured by different types of sensors that are placed in or along the road infrastructure. In this paper, aggregated and anonymized data from Google,...

Will self-driving cars impact the long-term investment strategy for the Dutch national trunk road system?

The Netherlands have a long history of strategic planning for the national infrastructure. The current National Infrastructure Fund1 has budgets for a total amount of 81 Billion Euro’s allocated for large national investments (both maintenance and new projects) up to 2030. The policy document “structuurvisie infrastructuur en Ruimte” sets out...

Considering knowledge gaps for automated driving in conventional traffic

Abstract—With increasing numbers of vehicles using low level automation and higher level automation expected in the future, significant effects are expected on traffic flow. Despite much simulation and driving simulator research on SAE level 1 vehicles, there remain many questions in regard to the effects of the systems on traffic flow. The...

Exploratory analysis of traveller’s compliance with smartphone personal route advice: a field trial Amsterdam

This paper focuses on the exploratory analysis of the traveller’s compliance with real-time personal route advice provided by the Superroute app. Data collection from Superroute app is superior alternative to traditional, small-sized revealed and preference surveys and provides more detailed and rich data for empirical research of travellers...

A longitudinal driver model for modelling cooperative road-side and in-vehicle systems with the its modeller

The need for evaluation of ITS systems requires new modelling tools that allow a detailed modelling of both the roadside and the in-vehicle systems. One of the elements needed is a reliable longitudinal driver model. In this paper we outline the requirements of such a model and review the models that are available in the literature. We select...

Development of a micro-simulation model to predict road traffic safety on intersections with surrogate safety measures

This paper describes an ongoing research project at TNO in the Netherlands for assessing the safety of road networks using micro-simulation techniques. A benefit of micro-simulation comes from the ability to evaluate the safety of new ITS systems, new infrastructure design, management strategies and different traffic compositions beforehand. The...