Research Topic

Smart and Resilient Operations of Multi-modal Transport Networks in the Era of Emerging Technologies: Modelling and Control

About this Research Topic

Our everyday life is, to a large extent, dependent on a number of critical infrastructure systems, including electric power, transport and information/communication ,with an increasing interdependency. The road system, in particular, is not only crucial for daily mobility and freight transport but also acts as a life-line system for rescuing people and economic merits and also for restoring other infrastructure systems in case of disruption. There is a rich literature on the vulnerability of the existing infrastructure (e.g. building, bridges and roads) but very few on transport systems. The vast majority of the existing traffic management schemes are only aimed at improving the efficiency and very few at enhancing the traffic robustness and reliability.

Despite the importance of the network reliability and efficiency of the transportation systems during disaster events (e.g. terrorist attack, pandemic outbreak, an accident or technology failure, or nature),
most of the existing works focus on operations during non-emergency/disaster scenarios. Natural and human-caused disruptions threaten the transportation network system (e.g. freight, public transport, car traffic) which might result in a significant economic loss. To avoid the remarkable loss from disaster events, the transportation system must be resilient, and ultimately capable of dealing with the disaster impact.

This call will try to attract papers which are dealing with multi-modal traffic dynamics and operations under normal and also extreme (i.e. disruptions with uncertainty) conditions. This will include the
following topics (but are not limited to):
- Novel traffic control strategies to enhance traffic reliability in the network
- Data analytics for traffic disruption predictions
- Optimizing network transport operations under disruption
- Critical links (connectivity) recognition in large-scale complex networks
- Machine learning for incident recognition
- Considering stochastic capacity for multi-modal traffic modelling
- Multi-modal Network disruption monitoring
- Cyber security in an era of connected and automated vehicles
- Multi-modal network resilience under terrorist attacks
- Transportation system resilience coping with a malicious act, an accident or technology failure, or nature
- Vehicle routing with uncertainty
- Travel behaviour under uncertainty
- Reliability of public transportation
- Socio-economic and psychological impacts of network disruptions under malicious acts


Keywords: Network Optimization, Robust Control, Network Resilience, Network Traffic Reliability, Disruption Prediction


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Our everyday life is, to a large extent, dependent on a number of critical infrastructure systems, including electric power, transport and information/communication ,with an increasing interdependency. The road system, in particular, is not only crucial for daily mobility and freight transport but also acts as a life-line system for rescuing people and economic merits and also for restoring other infrastructure systems in case of disruption. There is a rich literature on the vulnerability of the existing infrastructure (e.g. building, bridges and roads) but very few on transport systems. The vast majority of the existing traffic management schemes are only aimed at improving the efficiency and very few at enhancing the traffic robustness and reliability.

Despite the importance of the network reliability and efficiency of the transportation systems during disaster events (e.g. terrorist attack, pandemic outbreak, an accident or technology failure, or nature),
most of the existing works focus on operations during non-emergency/disaster scenarios. Natural and human-caused disruptions threaten the transportation network system (e.g. freight, public transport, car traffic) which might result in a significant economic loss. To avoid the remarkable loss from disaster events, the transportation system must be resilient, and ultimately capable of dealing with the disaster impact.

This call will try to attract papers which are dealing with multi-modal traffic dynamics and operations under normal and also extreme (i.e. disruptions with uncertainty) conditions. This will include the
following topics (but are not limited to):
- Novel traffic control strategies to enhance traffic reliability in the network
- Data analytics for traffic disruption predictions
- Optimizing network transport operations under disruption
- Critical links (connectivity) recognition in large-scale complex networks
- Machine learning for incident recognition
- Considering stochastic capacity for multi-modal traffic modelling
- Multi-modal Network disruption monitoring
- Cyber security in an era of connected and automated vehicles
- Multi-modal network resilience under terrorist attacks
- Transportation system resilience coping with a malicious act, an accident or technology failure, or nature
- Vehicle routing with uncertainty
- Travel behaviour under uncertainty
- Reliability of public transportation
- Socio-economic and psychological impacts of network disruptions under malicious acts


Keywords: Network Optimization, Robust Control, Network Resilience, Network Traffic Reliability, Disruption Prediction


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Topic Editors

Loading..

Submission Deadlines

30 March 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..

Topic Editors

Loading..

Submission Deadlines

30 March 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..
Loading..

total views article views article downloads topic views

}
 
Top countries
Top referring sites
Loading..