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MT ITS aims to gather researchers and academics working in the sectors of transport systems engineering and intelligent transportation systems, from both modelling and technological perspectives Attention is paid, but not limited to, the cross fertilization between these two important areas of transport engineering Establishing traffic management systems requires the availability of suitable and advanced technologies for traffic state detection and control The intelligence comes from the models using highly developed algorithms and big amount of provided data Papers submitted to the conference should deal with one of these areas, or describe the way how models and technologies are integrated in an intelligent transportation system.

Automated vehicles

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Automated vehicles

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Automated vehicles

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Automated vehicles could make roads safer as well as reduce congestion. Whether society will be able to capture these benefits while minimising negative impacts depends on effective regulation of self-driving vehicles. The technology is still largely experimental and mass use is likely to take decades. Today's regulatory frameworks can stretch to accommodate early deployment, but they will not be sufficient in the long term. This report reviews the range of existing service concepts for automated driving systems and technologies, the operational environments they require and assesses the need for regulatory action.

Automated vehicles.

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This book examines the development and technical progress of self-driving vehicles in the context of the Vision Zero project from the European Union, which aims to eliminate highway system fatalities and serious accidents by 2050. It presents the concept of Autonomous Driving (AD) and discusses its applications in transportation, logistics, space, agriculture, and industrial and home automation.

Automated vehicles.