Journal of Advanced Transportation

Advances in Traffic Safety Methodologies and Technologies


Publishing date
03 Nov 2017
Status
Published
Submission deadline
16 Jun 2017

Lead Editor

1University of Tennessee, Knoxville, USA

2Beijing Jiaotong University, Beijing, China

3Central South University, Changsha, China

4Traffic Engineering, Inc., Houston, USA

5Hong Kong Polytechnic University, Kowloon, Hong Kong


Advances in Traffic Safety Methodologies and Technologies

Description

Traffic safety represents a significant challenge for current, transitional, and future transportation systems, where the advanced communication and automation systems within vehicles and in the road infrastructure might interfere with the driving behavior of individual vehicles and raise concerns regarding the implications on safety. Developing better traffic safety methodologies, strategies, and policies is of practical importance to reduce traffic crashes and improve transportation system operations and might lead to a mitigation of congestion, together with a reduction of traffic-related air pollution. Enabled by emerging vehicle, sensing, and control technologies, Smart City research initiatives, big data analytics, and recent advances in driving experiments, traffic safety research will greatly enhance our scientific understanding of the new interactions and phenomena between conventional, connected, and automated vehicles. In addition, the innovative data sources and increasing computing capabilities provide a great potential to extend the application of advanced methodologies in traffic safety research. Advances in traffic safety modeling, simulation, and management will play a critical role to address the competitiveness, sustainability, and mobility issues of current, transitional, and future transportation systems.

In this special issue, we invite researches to submit solid contributions dealing with crucial aspects of current, transitional, and future traffic safety issues, with particular emphasis on the implications of advanced vehicle communication and automation technologies. The special issue also welcomes scientific research that develops and refines methodologies and technologies using new sources of data, such as data from naturalistic driving, connected vehicles, social media, and smart phones.

Potential topics include but are not limited to the following:

  • Safety implications and evaluation of advanced driving assistance systems
  • Data-driven traffic safety monitoring, assessment, and improvement
  • Methodological advancement in traffic safety modelling
  • Current, transitional, and future dynamic traffic network simulation
  • Safety performance assessment between conventional, connected, and automated vehicles
  • Innovative traffic safety data collection, analyzing, and molding using advanced technologies
  • Advanced traffic safety management strategies and policies

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 4129582
  • - Editorial

Advances in Traffic Safety Methodologies and Technologies

Chunjiao Dong | Chunfu Shao | ... | N. N Sze
  • Special Issue
  • - Volume 2018
  • - Article ID 5262514
  • - Research Article

Microscopic Simulation-Based High Occupancy Vehicle Lane Safety and Operation Assessment: A Case Study

Chao Li | Mohammad Karimi | Ciprian Alecsandru
  • Special Issue
  • - Volume 2018
  • - Article ID 2702360
  • - Research Article

Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model

Bowen Dong | Xiaoxiang Ma | ... | Suren Chen
  • Special Issue
  • - Volume 2018
  • - Article ID 8645709
  • - Research Article

Modeling Lane-Changing Behavior in Freeway Off-Ramp Areas from the Shanghai Naturalistic Driving Study

Lanfang Zhang | Cheng Chen | ... | Jingqiu Guo
  • Special Issue
  • - Volume 2017
  • - Article ID 1208170
  • - Research Article

Effects of Human-Centered Factors on Crash Injury Severities

Emmanuel Kofi Adanu | Steven Jones
  • Special Issue
  • - Volume 2017
  • - Article ID 8376572
  • - Research Article

A Novel Surrogate Safety Indicator Based on Constant Initial Acceleration and Reaction Time Assumption

Adrian Fazekas | Friederike Hennecke | ... | Markus Oeser
  • Special Issue
  • - Volume 2017
  • - Article ID 9862949
  • - Research Article

A Novel Approach for Operating Speed Continuous Predication Based on Alignment Space Comprehensive Index

Ying Yan | Gengping Li | ... | Zhongyin Guo
  • Special Issue
  • - Volume 2017
  • - Article ID 5783696
  • - Research Article

Analyzing Traffic Crash Severity in Work Zones under Different Light Conditions

Xinxin Wei | Xiang Shu | ... | Huaxin Chen
  • Special Issue
  • - Volume 2017
  • - Article ID 5230248
  • - Research Article

Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification

Yajie Zou | Xinzhi Zhong | ... | Yichuan Peng
  • Special Issue
  • - Volume 2017
  • - Article ID 3192967
  • - Research Article

Turnout Fault Diagnosis through Dynamic Time Warping and Signal Normalization

Shize Huang | Fan Zhang | ... | Decun Dong
Journal of Advanced Transportation
 Journal metrics
Acceptance rate30%
Submission to final decision106 days
Acceptance to publication76 days
CiteScore2.010
Impact Factor1.983
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