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Jinjun Tang
Central South University
StatisticsEngineeringTraffic flowMathematicsSimulation
54Publications
15H-index
861Citations
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Publications 71
Newest
#1Jinjun TangH-Index: 15
#2Lanlan ZhengH-Index: 1
Last. Helai HuangH-Index: 16
view all 7 authors...
Abstract Accurate clearance time prediction for road incident would be helpful to evaluate the incident impacting range and provide route guiding strategy according to the predicted results, and thus reduce the travel delays caused by incidents. Currently, a number of approaches have been developed for predicting incident clearance time and investigating the effects of influential factors. Statistical and machine learning methods are the two major methodological approaches. This study aims to ma...
2 CitationsSource
#1Ying Yan (Chang'an University)H-Index: 3
#2Ying Zhang (Chang'an University)H-Index: 1
Last. Zhongyin Guo (Tongji University)H-Index: 1
view all 6 authors...
Abstract In order to improve traffic safety, a large amount of works focusing on crash prediction and identifying factors contributing to crashes. However, the ignorance of data unobserved heterogeneity in some traditional models may lead to biased parameter estimation and erroneous inferences. To investigate the relationship between crash and the potential contributing factors, the crash data occurred in 3-year survey period on Interstate highways in Washington, including 134 fatal crashes, 139...
2 CitationsSource
#1Jinjun Tang (CSU: Central South University)H-Index: 15
#2Jin Hu (CSU: Central South University)H-Index: 2
Last. Yong Qi (Nanjing University of Science and Technology)H-Index: 3
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Abstract Travel time is a critical measure for road network traffic conditions, and travel time estimation provides available information for travelers and traffic management. This paper proposes an improved method based on Markov Chains to estimate route travel time by considering spatio-temporal correlation from related links. The method mainly contains three parts. Firstly, in the light of traffic flow data collected from microwave detectors, Gaussian mixture model (GMM) is applied to cluster...
2 CitationsSource
#1Wenhui Zhang (NEFU: Northeast Forestry University)
#1Wenhui ZhangH-Index: 2
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Efficient parking tends to be challenging in most large cities in China. Drivers often spend substantial amounts of time looking for parking lots while driving at low speeds, thereby resulting in interference with road traffic. This paper focuses on efficiently allocating parking spaces to the demanders. A double-objective model is proposed that considers both the utilizing rate and the walking distance. First, managers want to utilize parking resources fully. Therefore, they tend to prioritize ...
Source
#1Jingjing Hao (Southwest Jiaotong University)H-Index: 1
#2Ling Zhang (Southwest Jiaotong University)
Last. Jinjun Tang (CSU: Central South University)H-Index: 15
view all 4 authors...
Abstract In China, the emergence of new school travel mode using customized student routes has effectively alleviated the burden of most family considering children transportation. However, since such mode is still in the exploratory stage, it is urgent to analyze family intention for such school travel services. In this study, a whole theoretical framework considering travel constraint and “service quality-satisfaction-behavior” is constructed to explore the choice intention of parents. The str...
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#1Xinqiang ChenH-Index: 3
#2Xueqian XuH-Index: 1
Last. Jiansen ZhaoH-Index: 3
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Ship tracking provides crucial on-site microscopic kinematic traffic information which benefits maritime traffic flow analysis, ship safety enhancement, traffic control, etc., and thus has attracted considerable research attentions in the maritime surveillance community. Conventional ship tracking methods yield satisfied results by exploring distinct visual ship features in maritime images, which may fail when the target ship is partially or fully sheltered by obstacles (e.g., ships, waves, etc....
2 CitationsSource
#1Xinqiang ChenH-Index: 3
#1Xinqiang ChenH-Index: 1
Last. Zhihuan WangH-Index: 1
view all 7 authors...
3 CitationsSource
#1Jinjun TangH-Index: 15
Last. Zheng HuH-Index: 1
view all 4 authors...
Individual mobility patterns are an important factor in urban traffic planning and traffic flow forecasting. How to understand the spatio-temporal distribution of passengers deeply and accurately, so as to provide theoretical support for the planning and operation of the metro network, is an urgent issue of wide concern. In this paper, we applied NCP decomposition to uncover the characteristics of travel patterns from temporal and spatial dimensions in the metro network of Shenzhen City. Utilizi...
Source
#1Zhouyang Du (Tongji University)H-Index: 1
#2Jinjun Tang (CSU: Central South University)H-Index: 15
Last. Yifan Yang (CSU: Central South University)H-Index: 1
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Abstract How to identify critical nodes in metro networks is still an open and vital topic in complex networks, which has been a key issue in analyzing the structural organization of a network, especially in public transportation. Many effective measures have been developed to solve this problem in undirected or unweighted network. However, statistical indicators of static networks cannot reflect the spatial–temporal characteristics of passenger flow in the metro network. Furthermore, a single m...
2 CitationsSource
#1Jinjun Tang (CSU: Central South University)H-Index: 15
#2Xinshao Zhang (CSU: Central South University)H-Index: 1
Last. Yinhai Wang (UW: University of Washington)H-Index: 31
view all 5 authors...
AbstractCurrently, accurate traffic flow analysis and modeling are important key steps for intelligent transportation system (ITS). Missing traffic flow data are one of the most critical issues in ...
1 CitationsSource
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