Journal of Advanced Transportation

Innovative Methods for Data Informed Multimodal Transport Flow and System Analysis 2020


Publishing date
01 Nov 2020
Status
Closed
Submission deadline
03 Jul 2020

Lead Editor
Guest Editors

1Southeast University, Nanjing, China

2South China University of Technology, Guangzhou, China

3Jiangsu Police Institute, Nanjing, China

4University of British Columbia, Vancouver, Canada

This issue is now closed for submissions.
More articles will be published in the near future.

Innovative Methods for Data Informed Multimodal Transport Flow and System Analysis 2020

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Transport engineering has become an increasingly important discipline in the engineering domain. Traffic flow theory is the foundation of most transport engineering studies. Moreover, the analysis of traffic flow is also the core of transport system analysis. The traditional traffic flow data used in modelling and validating traffic flow models are mainly loop detector data (fixed locations) and floating vehicle data (fixed vehicles), which are at relatively low resolution. With the new advances of traffic data collection, Bluetooth data, social media data, smart phone data, GPS data, machine vision data, vehicle to vehicle/infrastructure communication, and other sensor-based data, collecting high-resolution vehicle trajectories on a large scale becomes realistic, which provides an unprecedented opportunity for researchers to scrutinize vehicle movements, pinpoint locations of conflicts and disturbances, and fully describe tempo-spatial evolution of traffic flow dynamics and measure its impact on road safety. In this regard, it is with a high need to explore the role that new advances in data collection and analytics can play in improving the performance of traffic flow models and traffic operations.

With the increasingly more available high-resolution traffic and transport data, traffic flow models and transport system analysis can be revolutionized and informed. This call is to summarize the recent progress and advances in this area of research, with an attempt to benefit not only research communities but also practitioners.

This Special Issue solicits novel contributions on all aspects of theoretical and/or applied research in data informed traffic flow modelling and traffic operations. Both original research and review articles are welcomed.

Potential topics include but are not limited to the following:

  • Application of big data for traffic flow model development
  • Applications of big data for improving transport system operations
  • Adopting advanced data analytics for traffic flow development
  • Adopting advanced data analytics for improving traffic operations
  • Multiple-type data analytics and bottleneck treatment
  • Multiple-type data analytics and freeway operations
  • Application of sensor data to smooth traffic flow dynamics
  • Applications of vehicle to vehicle/infrastructure data
  • Multiple-type data analytics and transit system operations
  • Data informed transport network modelling

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 8823292
  • - Research Article

Analyzing the Safety Impacts of Variable Speed Limit Control on Aggregated Driving Behavior Based on Traffic Big Data

Xu Qu | Mofeng Yang | ... | Bin Ran
  • Special Issue
  • - Volume 2020
  • - Article ID 8831521
  • - Research Article

Traffic Status Prediction of Arterial Roads Based on the Deep Recurrent Q-Learning

Wei Hao | Donglei Rong | ... | Biljana Scepanovic
  • Special Issue
  • - Volume 2020
  • - Article ID 8838994
  • - Research Article

Customized Bus Route Optimization with the Real-Time Data

Kai Huang | Lin Xu | ... | Kun An
  • Special Issue
  • - Volume 2020
  • - Article ID 8815983
  • - Research Article

A Fissile Ripple Spreading Algorithm to Solve Time-Dependent Vehicle Routing Problem via Coevolutionary Path Optimization

Wen Xu | JiaJun Li
  • Special Issue
  • - Volume 2020
  • - Article ID 8898923
  • - Research Article

Estimation of Disease Transmission in Multimodal Transportation Networks

Yu Zheng
  • Special Issue
  • - Volume 2020
  • - Article ID 8859494
  • - Research Article

Traffic Flow Modeling of Freeway Variable Speed Limit Control Based on the Big Data of Driving Behavior

Xu Qu | Linheng Li | ... | Mofeng Yang
  • Special Issue
  • - Volume 2020
  • - Article ID 8844590
  • - Research Article

Development of Fuzzy Level of Service Criteria for Bus Rapid Transit considering User Heterogeneities in China

Yueying Huo | Jianrong Liu | ... | Xiaojuan Li
  • Special Issue
  • - Volume 2020
  • - Article ID 8835514
  • - Research Article

Sizing Up Transport Poverty Alleviation: A Structural Equation Modeling Empirical Analysis

Li Jiang | Huiying Wen | Weiwei Qi
  • Special Issue
  • - Volume 2020
  • - Article ID 8863262
  • - Research Article

Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data

Rui Li | Xin Xue | Hua Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 8813137
  • - Research Article

Optimal Driving Range for Battery Electric Vehicles Based on Modeling Users’ Driving and Charging Behavior

Zhenbo Lu | Qi Zhang | ... | Weiping Tong
Journal of Advanced Transportation
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Acceptance rate36%
Submission to final decision106 days
Acceptance to publication75 days
CiteScore3.400
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Impact Factor2.419
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.