Sustainable Traffic Operations and Mobility Services

Dear Colleagues,

The planning and control of transport services play a key role in the achievement of sustainability goals in transportation systems. The optimization of operations can have significant direct or indirect impacts on economic, environmental and social sustainability, improving the efficiency, reducing the emissions of pollutants and increasing the inclusiveness of transport services. These aspects involve all the transport modes, considered separately or in an integrated way, including both passengers and freight sectors. Some significant examples are road traffic control, trains operations, inland waterways management, and the synchronization of transport flows. In this scenario, the introduction of ICT and automation has paved the way towards advanced intelligent transportation systems (ITS) able to reach a high level of performance in traffic control, in a more integrated and cooperative way, exploiting data availability. Recent events, such as the COVID-19 pandemic, have also shown the importance of sustainability strategies in long-term and mid-/short-term transportation planning.

 The scope of the Special Issue is to gather state-of-the-art contributions in the field of sustainable transportation, with a particular focus on models and methods for optimizing and controlling traffic operations and mobility services, at the various decision levels. Analytical and simulative models, innovative approaches, new technologies and novel applications aimed at further improving current practices for sustainable transportation are welcomed.

Topics of interest include, but are not limited to:

• optimization and control of transport networks
• real-time management of transport operations
• advanced simulation models in transportation
• disruptions and emergency management
• day-to-day and within day traffic assignment models
• intelligent transportation systems (ITS) technologies and automated transport solutions
• passengers flow control and crowd management
• users’ choice modelling and advanced traveller information systems.
• electric mobility and charging infrastructure
• multimodal mobility solutions
• artificial intelligence (AI) for smarter mobility

Prof. Davide Giglio
Dr. Alice Consilvio
Guest Editors

Manuscript Submission Information

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