Sensors and Data-Driven Intelligent Transportation Systems

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Engineering".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 326

Special Issue Editors

Department of Civil Engineering, Ariel University, Ariel, Israel and UMass Lowell, Lowell, MA, USA
Interests: Transportation Engineering; Transportation Systems Analysis; Intelligent Transportation Systems; Optimization and Simulation Methods
Special Issues, Collections and Topics in MDPI journals
Department of Civil and Environmental Engineering, University of Massachusetts (UMass) Lowell, Lowell, MA 01854, USA
Interests: Intelligent Transportation Systems; Transportation Safety; Traffic Control and Simulation; Data Analytics
Special Issues, Collections and Topics in MDPI journals
Intelligent Transportation Research Center, Southeast University, Nanjing, 210096, China
Interests: transportation safety and security; intelligent transportation systems; traffic simulation; big data and data mining
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sensors are essential components of Intelligent Transportation Systems (ITS), such as connected vehicles, automated vehicles, traveler information systems, and advanced traffic control systems. They include loop detectors, mobile devices, traffic cameras, radar and lidar sensors, drones, etc.  These sensors generate an enormous amount of data that are important for guiding decision making in transportation and for efficient operation of the transportation system.

Numerous critical issues can be addressed by the wide range of the sensor applications in ITS.  Some examples of such issues are: how to optimally place sensors and quantify their benefits, how to effectively visualize, analyze and integrate data from various sources using advanced models, and how nontraditional sensor data can be used to develop innovative solutions to traffic operations problems (e.g., incident detection, traffic re-routing, etc.) and traffic safety applications (e.g., hotspot identification).

This Special Joint Issue focuses on innovative ITS solutions enabled by both traditional and nontraditional sensors. Submissions related to all aspects of sensor-enabled innovative ITS applications are encouraged. Specific topics of interest include, but are not limited to:

  • Optimal placement of sensors
  • Development and evaluation of new sensor applications for ITS problems
  • Innovative traffic safety solutions based on advanced sensors, such as Surrogate Safety Measures (SSM) derived from sensor data
  • Crash count and hotspot modeling based on emerging data sources
  • Development of advanced statistical and Artificial Intelligence (AI) models using ITS sensor data (e.g., asset conditions, traffic videos, telemetry data)
  • Advanced transportation decision making models based on sensor data
  • Deriving critical transportation planning data such as travel demands, Origin-Destination (OD) information, travel times, traffic volumes from data collected using cameras, loop detectors, smartphones, microwave detectors, Bluetooth, etc.
  • Using sensor data for real-time route guidance and parking information
  • Development of innovative traffic signal control strategies based on sensor information (e.g., adaptive signal control,transit signal priority, perimeter gating control, connected vehicles, Automated Traffic Signal Performance Measures)
  • Incident detection from multi-sourced data
  • Sensors and highway operations (e.g., work zone operations, queue warning, distracted and fatigued drivers, occupancy detection for High-Occupancy Vehicle Lane operations)
  • Wireless sensor networks and Internet of Things (IoT) for ITS (e.g., traffic monitoring, smart parking, traffic controller status monitoring)
  • Real-time traveler information system such as roadway weather systems (e.g., black ice and flooding detection)
  • Structural and vehicle health monitoring (e.g., bridge, pavement, rail track, rolling stock)
  • Mobile sensor networks (e.g., data mining using smartphone data, connected vehicles, commercial fleets, buses, GPS)

You may choose our Joint Special Issue in Sensors.

Prof. Dr. Nathan Gartner
Prof. Dr. Yuanchang Xie
Prof. Dr. Chen Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers

There is no accepted submissions to this special issue at this moment.
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