Journal of Advanced Transportation

Emerging Information and Communication Technologies for Traffic Estimation and Control


Status
Published

1Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

2University College London, London, UK

3University of Massachusetts Amherst, Amherst, USA

4University of Queensland, Brisbane, Australia

5Federal University of Santa Catarina, Florianópolis, Brazil


Emerging Information and Communication Technologies for Traffic Estimation and Control

Description

Information and communication technologies (ICT) are fundamental components of any development in the field of traffic estimation and control. The design and deployment of multimodal advanced transportation systems involve interdisciplinary expertise and effective utilization of new technologies. Nowadays, there are an increasing number of instrumented networks and transportation deployments around the world, and, as a consequence, the research community in this domain has entered the era of big data. The wealthy amount of traffic data that is available in real time can support the development of modern systematic approaches and methodological tools for estimation and control.

Recent advances in transportation (e.g., emerging vehicle communication and automation technologies) have generated new types of measurements, vehicles and infrastructure communications, and control actuation capabilities. All these enable the transportation community to adapt its research topics accordingly and exploit the opportunities resulting from these new developments to improve traffic estimation and control. There is an essential and timely need for new theoretical techniques and algorithms that can accompany the technological achievements and consequently enhance the performance of transportation systems.

The purpose of this special issue is to publish high quality research papers addressing innovative approaches to improve traffic estimation and control by utilizing recent advances and developments in the area of ICT. We seek original contributions that are not yet published or are not currently under review by any other journals or peer-reviewed conferences.

Potential topics include but are not limited to the following:

  • ICT for emerging traffic operations
  • Big data and machine learning for traffic estimation
  • Modeling and analysis of large-scale complex transportation systems
  • Sensors and surveillance of intelligent transportation systems
  • Telematics and innovative control for transport networks
  • ICT for connected/smart mobility in cities
  • Analyzing and controlling mobility patterns in urban environments

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 8498054
  • - Editorial

Emerging Information and Communication Technologies for Traffic Estimation and Control

Anastasios Kouvelas | Andy Chow | ... | Rodrigo Castelan Carlson
  • Special Issue
  • - Volume 2018
  • - Article ID 6986198
  • - Research Article

Vertical and Horizontal Queue Models for Oversaturated Signal Intersections with Quasi-Real-Time Reconstruction of Deterministic and Shockwave Queueing Profiles Using Limited Mobile Sensing Data

Yongyang Liu | Jingqiu Guo | Yibing Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 5728042
  • - Research Article

High-Speed Data-Driven Methodology for Real-Time Traffic Flow Predictions: Practical Applications of ITS

Hyun-ho Chang | Byoung-jo Yoon
  • Special Issue
  • - Volume 2018
  • - Article ID 7905140
  • - Research Article

Trajectory Specification Language for Air Traffic Control

Russell A. Paielli
  • Special Issue
  • - Volume 2018
  • - Article ID 9317291
  • - Research Article

Density-Based Statistical Clustering: Enabling Sidefire Ultrasonic Traffic Sensing in Smart Cities

Volker Lücken | Nils Voss | ... | Gerd Ascheid
  • Special Issue
  • - Volume 2018
  • - Article ID 6197549
  • - Research Article

Taxi Driver’s Operation Behavior and Passengers’ Demand Analysis Based on GPS Data

Xiaowei Hu | Shi An | Jian Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 8483750
  • - Research Article

Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data

Gerdien A. Klunder | Henk Taale | ... | Serge Hoogendoorn
Journal of Advanced Transportation
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 Journal metrics
Acceptance rate36%
Submission to final decision106 days
Acceptance to publication75 days
CiteScore3.000
Impact Factor1.670
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