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Chengcheng Xu

Chengcheng Xu

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
5764
World Ranking
7063
National Ranking
1300

Overview

Chengcheng Xu is affiliated with Southeast University in China and specializes in the field of Engineering, with a notable focus on Safety, Risk, Reliability and Quality; Building and Construction; Mechanical Engineering; Control and Systems Engineering; and Automotive Engineering. Their research primarily addresses topics related to Traffic and Road Safety, Traffic Prediction and Management Techniques, Traffic control and management, Autonomous Vehicle Technology and Safety, Transportation Planning and Optimization, Urban Heat Island Mitigation, and Vehicle emissions and performance.

Xu has contributed to multiple recent papers, including:

  • Energy flexibility for heating and cooling in traditional Chinese dwellings based on adaptive thermal comfort: A case study in Nanjing, 2020, Building and Environment
  • Using empirical traffic trajectory data for crash risk evaluation under three-phase traffic theory framework, 2021, Accident Analysis & Prevention
  • Investigating the predictability of crashes on different freeway segments using the real-time crash risk models, 2021, Accident Analysis & Prevention
  • Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach, 2021, Accident Analysis & Prevention
  • YTHDF1 alleviates sepsis by upregulating WWP1 to induce NLRP3 ubiquitination and inhibit caspase-1-dependent pyroptosis, 2022, Cell Death Discovery

They have frequently published in the following venues:

  • Accident Analysis & Prevention
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Journal of Transportation Safety & Security
  • Ceramics International

Xu collaborates often with several co-authors, including:

  • Zhibin Li
  • Pan Liu
  • Yuxuan Wang
  • Chang Peng
  • Chuiyu Lu

Best Publications

  • Using support vector machine models for crash injury severity analysis.

    Zhibin Li;Pan Liu;Weixu Wang;Chengcheng Xu

  • The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets

    Chengcheng Xu;Junyi Ji;Pan Liu

  • Comparing Prediction Performance for Crash Injury Severity Among Various Machine Learning and Statistical Methods

    Jian Zhang;Zhibin Li;Ziyuan Pu;Chengcheng Xu

  • Evaluation of the impacts of traffic states on crash risks on freeways.

    Chengcheng Xu;Pan Liu;Weixu Wang;Zhibin Li

  • Predicting crash likelihood and severity on freeways with real-time loop detector data

    Chengcheng Xu;Andrew P. Tarko;Weixu Wang;Pan Liu

  • Reinforcement Learning-Based Variable Speed Limit Control Strategy to Reduce Traffic Congestion at Freeway Recurrent Bottlenecks

    Zhibin Li;Pan Liu;Chengcheng Xu;Hui Duan

  • A crash prediction method based on bivariate extreme value theory and video-based vehicle trajectory data

    Chen Wang;Chengcheng Xu;Yulu Dai

  • A combined use of microscopic traffic simulation and extreme value methods for traffic safety evaluation

    Chen Wang;Chengcheng Xu;Jingxin Xia;Zhendong Qian

  • Identifying crash-prone traffic conditions under different weather on freeways

    Chengcheng Xu;Weixu Wang;Pan Liu

  • Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests

    Jie Bao;Chengcheng Xu;Pan Liu;Wei Wang

  • Exploring unobserved heterogeneity in bicyclists' red-light running behaviors at different crossing facilities

    Yanyong Guo;Yanyong Guo;Zhibin Li;Yao Wu;Chengcheng Xu

  • A Genetic Programming Model for Real-Time Crash Prediction on Freeways

    Chengcheng Xu;Wei Wang;Pan Liu

  • Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China.

    Chengcheng Xu;Jie Bao;Chen Wang;Pan Liu

  • Statistical analysis of the patterns and characteristics of connected and autonomous vehicle involved crashes.

    Chengcheng Xu;Zijian Ding;Chen Wang;Zhibin Li

  • Development of a variable speed limit strategy to reduce secondary collision risks during inclement weathers.

    Zhibin Li;Ye Li;Pan Liu;Weixu Wang

  • Integrated Cooperative Adaptive Cruise and Variable Speed Limit Controls for Reducing Rear-End Collision Risks Near Freeway Bottlenecks Based on Micro-Simulations

    Ye Li;Chengcheng Xu;Lu Xing;Wei Wang

  • Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories.

    Meng Li;Zhibin Li;Chengcheng Xu;Tong Liu

  • Real-time estimation of secondary crash likelihood on freeways using high-resolution loop detector data

    Chengcheng Xu;Pan Liu;Bo Yang;Wei Wang

  • Development of a Control Strategy of Variable Speed Limits to Reduce Rear-End Collision Risks Near Freeway Recurrent Bottlenecks

    Zhibin Li;Pan Liu;Wei Wang;Chengcheng Xu

  • Incorporating twitter-based human activity information in spatial analysis of crashes in urban areas

    Jie Bao;Pan Liu;Hao Yu;Chengcheng Xu

Frequent Co-Authors

Pan Liu
Pan Liu Southeast University
Zhibin Li
Zhibin Li Southeast University
Chen Wang
Chen Wang Swansea University
Jun Chen
Jun Chen Nankai University
Yong Wang
Yong Wang Nanjing University
Bin Ran
Bin Ran University of Wisconsin–Madison
Yinhai Wang
Yinhai Wang University of Washington
Mark Stevenson
Mark Stevenson University of Melbourne
Min Li
Min Li Central South University
Hui Liu
Hui Liu Central South University

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