Journal of Advanced Transportation

Multi-transport Modes Coordinated Control Theory and Modeling Analysis under Dynamic Response Mechanism


Publishing date
01 Dec 2022
Status
Published
Submission deadline
15 Jul 2022

Lead Editor

1Beijing Jiaotong University, Beijing, China

2University of Texas, El Paso, USA

3Chang'an university, Xi'an, China

4Harbin Institute of Technology, Harbin, China

5Beihang University, Beijing, China


Multi-transport Modes Coordinated Control Theory and Modeling Analysis under Dynamic Response Mechanism

Description

Over the past decades, transportation has become a quite active innovation field with many emerging technologies and business models being developed and applied to solve various transportation problems, and this trend will continue as urban infrastructure becomes increasingly intelligent. Various modes of transportation (such as ordinary vehicles, autonomous vehicles, taxis, buses, urban rail transit, bicycles, pedestrians, etc.) promote and restrict each other, making urban transportation systems very complex. Nowadays, research towards urban traffic engineering is not only limited to the optimization of traffic operation efficiency, but also pays more attention to the optimization of environmental protection, traffic safety, and economy.

At present, with the development of computer technology, theories and technologies related to intelligent transportation have been widely applied, which brings great opportunities to the development of theory and technologies of collaborative optimization of multi-transport modes. However, emerging technologies and theories (e.g., deep learning, artificial intelligence, data mining, cloud computing, connected cars, and autonomous driving) are facing many challenges and even doubts in terms of methodology and application, and some research often ignores the consideration of the traditional traffic problem. Therefore, how to effectively apply new technologies and new theories to solve the problem of traditional traffic, to realize the optimization of urban traffic from a single dimension with the comprehensive consideration of efficiency, environment, economy, safety and other dimensions will contribute to the positive development of urban traffic.

In this Special Issue, we solicit high-quality research focused on state-of-the-art techniques and methods employed in multi-transport mode coordinated dynamic control theory and modeling. A particular emphasis will be brought to interdisciplinary work and innovative ideas. We welcome submissions on emerging regional transportation coordination technologies and services related to multi-transport modes and their infrastructure, operations, policy requirements, and impacts. Authors are invited to present original research and review articles that will stimulate continuing efforts in this field.

Potential topics include but are not limited to the following:

  • Dynamic self-adaptive system of regional traffic signal timing based on cloud computing
  • Application of artificial intelligence and deep learning in dynamic control of variable lanes and presignal at intersections
  • Collaborative optimization method for regional traffic dynamic control under mixed driving conditions with autonomous driving vehicles
  • Real-time crash risk assessment and safety control for motor vehicle and non-motor vehicle mixed intersections
  • Theory and application of regional traffic dynamic cooperative control considering safety and environmental factors
  • Supported nonmotorized traffic dynamic safety technology under the background of the Internet of Things
  • Real-time shared parking lot allocation considering the dynamic degree of road networkloading
  • Supported pedestrian behavior analysis

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 2428040
  • - Research Article

Scheduling Synchronization for Overlapping Segments in Bus Lines: Speed Control and Green Extension Strategies

Hu Zhao | Shumin Feng | ... | Qiuju Huang
  • Special Issue
  • - Volume 2022
  • - Article ID 1012206
  • - Review Article

A Comprehensive Review on Traffic Control Modeling for Obtaining Sustainable Objectives in a Freeway Traffic Environment

Muhammad Sameer Sheikh | Yinqiao Peng
  • Special Issue
  • - Volume 2022
  • - Article ID 5680599
  • - Research Article

Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety

Fahui Wang | Yongjie Lu | Haoyu Li
  • Special Issue
  • - Volume 2022
  • - Article ID 5275843
  • - Research Article

Reliability Assessment Model and Simulation of Journal Bearing of Railway Freight Cars Based on Bayesian Method under Small Sample Sizes

Juping Yang | Haijun Len | ... | Yongxiang Zhao
  • Special Issue
  • - Volume 2022
  • - Article ID 5943529
  • - Research Article

Study on Influencing Factors of the Duration of Residential Leisure Travel to Urban Parks

Xuyichen Yan | Shaoqi Li | ... | Gen Li
  • Special Issue
  • - Volume 2022
  • - Article ID 5951389
  • - Research Article

The Improved Precoding Method in the VLC-Based Intelligent Transportation System

Shilin li | Y. Cheng | ... | P.Y. Liang
  • Special Issue
  • - Volume 2022
  • - Article ID 8348726
  • - Research Article

Modeling and Simulation of Traffic Congestion for Mixed Traffic Flow with Connected Automated Vehicles: A Cell Transmission Model Approach

Yunxia Wu | Yalan Lin | ... | Zhihong Yao
  • Special Issue
  • - Volume 2022
  • - Article ID 7418127
  • - Research Article

Investigating Evaluation Indicators of Intelligent Vehicle Sharing Based on Operation Efficiency: A Case Study in Xiong’an New Area, China

Heng Du | Yu Wang | ... | Yuxuan Xing
  • Special Issue
  • - Volume 2022
  • - Article ID 1846681
  • - Research Article

Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm

Liang Wu
  • Special Issue
  • - Volume 2022
  • - Article ID 1647306
  • - Research Article

Collaborative Optimization of Passenger Control Strategy and Train Operation Plan with Variable Formations for a Rail Transit Network

Yonghao Yin | Jun Chen | Wenrui Zhao
Journal of Advanced Transportation
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Acceptance rate19%
Submission to final decision134 days
Acceptance to publication17 days
CiteScore3.900
Journal Citation Indicator0.480
Impact Factor2.3
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