Sensing the Future of Intelligent Transportation Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 October 2021) | Viewed by 25763
Special Issue Editors
Interests: Traffic Flow; Traffic Estimation; Modeling and Simulation; Intelligent Transportation Systems; Connected and Automated Vehicles; Machine Learning
Special Issues, Collections and Topics in MDPI journals
Interests: Traffic Flow Theory; Traffic Systems Engineering; Systems and Control Theory; Operations Research; Big Data; Machine Learning
Interests: Traffic Modeling and Simulation; Driving and Travel Behavior; Intelligent Transportation Systems; Transportation Network Analysis
Interests: transportation systems; traffic flow; bicycles and pedestrians traffic; connected and automated vehicles; cellular automata
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite submissions to a Special Issue of Sensors journal entitled “Sensing the Future of Intelligent Transportation Systems.”
Technological advancements of the last few decades at the level of sensing technologies, communications, and in-vehicle technologies are expected to disrupt existing transportation systems as we know them today. Light Detection and Ranging (LiDAR), distributed acoustic fibers, virtual loops, mobile phones, vehicle communication systems, (thermal and optical) cameras, and other innovative sensors, coupled with high-speed communication technologies, such as 5G, can alter the type, quality, and amount of available data sources.
These types of different data sources are associated with individual characteristics and specifications, providing insights only on some dimensions of the transport system and with different often varying noise levels per sensor and occasion. This practically means that fusing all the above information in an optimal way, in order to provide high-level services, is among the most challenging tasks that transport researchers will face in the coming years.
A wide range of applications may use this data. Examples include:
- Advanced traffic management strategies, real-time traffic estimation, prediction and control
- Monitoring for safety and smooth integration of road transport with other modes, such as bicycles, pedestrians, scooters, and public transport in a centralized/distributed and optimal way
- Energy-related optimal solutions for service operators and network users
The aim of this Special Issue is to bring together innovative developments in areas related to sensor-based decision-making applied to intelligent transportation systems. The topics of interest include, but are not limited to, the following:
- Modeling and analysis of sensor-based transportation systems.
- Networks of sensors for data acquisition and data fusion.
- Traffic management on freeway and urban networks.
- Smart solutions for infrastructure monitoring and optimal traffic capacity.
- Applications of sensor technologies to transportation.
- Methodologies for traffic estimation and control based on novel sensor-based data.
- Strategies for exploiting new sensor data and systems for providing advanced services to pedestrians and cyclists.
- New insights for driver and travel behaviors based on sensor-based data.
- Real-time systems for driver information and guidance.
- Enabling energy-efficient mobility and eco-routing.
Dr. Michail Makridis
Dr. Anastasios Kouvelas
Prof. Dr. Tomer Toledo
Prof. Dr. Rui Jiang
Guest Editors
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