Journal of Advanced Transportation

Big Data Aided Vehicular Network for Transport and Environmental


Publishing date
01 Mar 2021
Status
Closed
Submission deadline
30 Oct 2020

Lead Editor

1Beihang University, Beijing, China

2Eindhoven University of Technology, Eindhoven, Netherlands

3Sun Yat-sen University, Guangzhou, China

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

Big Data Aided Vehicular Network for Transport and Environmental

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

Description

Environmental contamination from vehicle emissions and from traffic congestion is a widespread issue that affects a large portion of the global population. The amount of pollution from these sources continues to rise and, especially when combined with the acceleration of urbanization (including both global and regional impacts), means that it is imperative to perform deep investigations into the resulting environmental issues. However, large advancements in sensing technology, communication, and big data, the volume and quality of traffic data have increased in recent years. These advances create unprecedented opportunities to go beyond the limitations of existing models, theories, and patterns to capture new insights into the environmental effects of vehicle emissions and traffic congestion.

In particular, there has been a great interest in vehicular ad hoc networks (VANETs) formed by connected vehicles in the areas of wireless communications and Intelligent Transportation Systems. Vehicular networks, which have been envisioned as an effective measure to resolve traffic problems, hold great promise for improving the impact of vehicular pollution on the environment. Meanwhile, the large sets of information retrieved from vehicular networks have offered great opportunities for environment-related assessment and improvement from a range of different data perspectives.

Therefore, this Special Issue calls for novel contributions on cutting-edge research using big data technology and applications to cope with environmental issues and challenges, and will accept both original research articles and review articles on the current state-of-the-art. Particular attention will be given to the following theme areas; however, it should be stressed that a broad range of submissions are encouraged.

Potential topics include but are not limited to the following:

  • Data analytics in vehicles and transportation
  • Data analytics in emissions, noise, and environment
  • Big data aided modeling, simulation, verification
  • Joint analysis of transportation and environment
  • Impact of vehicular network on environment
  • Innovation in urban environment research

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 6628335
  • - Research Article

Estimation of Hourly Traffic Flows from Floating Car Data for Vehicle Emission Estimation

Yun Jiang | Guohua Song | ... | Lei Yu
  • Special Issue
  • - Volume 2021
  • - Article ID 6682063
  • - Research Article

Identifying the Key Nodes and Sections of Urban Roadway Network Based on GPS Trajectory Data

Jing Wang | Chunjiao Dong | ... | Shuang Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 6626243
  • - Research Article

A New Hybrid Model Predictive Controller Design for Adaptive Cruise of Autonomous Electric Vehicles

Yuanhang Chen | Guodong Feng | ... | Xiaojun Tan
  • Special Issue
  • - Volume 2021
  • - Article ID 6642071
  • - Research Article

Building Vibration Prediction Induced by Moving Train with Random Forest

Jinbao Yao | Lei Fang
  • Special Issue
  • - Volume 2021
  • - Article ID 6677329
  • - Research Article

Research on Optimization of Aircraft Climb Trajectory considering Environmental Impact

Fangzi Liu | Minghua Hu | ... | Honghai Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 6665168
  • - Research Article

Research on Optimization Model of Logistics Transportation Truck Path considering Environmental Impact: Experimental Data from Xiqing District, Tianjin

Qianqian Han | Yao Sun | ... | Zijian Bai
  • Special Issue
  • - Volume 2021
  • - Article ID 6616800
  • - Research Article

Dynamic Spatiotemporal Causality Analysis for Network Traffic Flow Based on Transfer Entropy and Sliding Window Approach

Senyan Yang | Lianju Ning | ... | Mingyu Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 6615746
  • - Research Article

Multiobjective Optimization of Cable Forces and Counterweights for Universal Cable-Stayed Bridges

Zhangming Wang | Nan Zhang | ... | Qikai Sun
  • Special Issue
  • - Volume 2020
  • - Article ID 8850123
  • - Research Article

Traffic Status Evolution Trend Prediction Based on Congestion Propagation Effects under Rainy Weather

Yongjie Xue | Rui Feng | ... | Bin Yu
  • Special Issue
  • - Volume 2020
  • - Article ID 8899478
  • - Research Article

Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction

Licheng Qu | Minghao Zhang | ... | Wei Li
Journal of Advanced Transportation
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 Journal metrics
Acceptance rate36%
Submission to final decision106 days
Acceptance to publication75 days
CiteScore3.400
Journal Citation Indicator0.520
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.