Runmei Li - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 22 from 22

2025

Intelligent Generation of Test Cases for a Parallel Testing System: A Case Study on Railway SystemsYuantao Jiao, Jian Wang 0022, Runmei Li, Fei-Yue Wang 0001, Hongtao Zhao, Gang Xiong 0001. itsm, 17(3):6-17, May - June 2025. [doi]

2024

Text Semantic Analysis and Intelligent Interaction in Parallel Dispatching Systems for Technical StationYuantao Jiao, Jian Wang, Runmei Li, Gang Xiong, Shichao Chen. dtpi 2024: 439-442 [doi]

Driving Behavior Prediction Based on Combined Neural Network ModelRunmei Li, Xiaoting Shu, Chen Li. tcss, 11(3):4488-4496, June 2024. [doi]

A Vehicle Behavior Prediction Method Based on CNN-Transformer ModelXiaoting Shu, Runmei Li. cvdl 2024: [doi]

An Actor-Critic Framework Deep Reinforcement Learning Approach to High-speed Train Timetable Rescheduling ProblemZhilong Tian, Runmei Li, Gang Xiong 0001, Fenghua Zhu. dtpi 2024: 509-513 [doi]

Optimization of Path for Small Shunting Trains in Railway Hubs Based on Improved Simulated Annealing AlgorithmShuguang Yang, Xisong Dong, Kejie Xu, Shichao Chen, Runmei Li, Zhen Shen, Fei-Yue Wang 0001, Gang Xiong 0001. dtpi 2024: 366-371 [doi]

2022

Long-term Prediction of Traffic Volume Based on Clustering Weighted Markov ChainsyRunmei Li, Shuyun Dong, Kaibing Xie. itsc 2022: 3466-3471 [doi]

Autonomous Vehicle Trajectory Combined Prediction Model Based on CC-LSTM)Runmei Li, Zherui Zhong, Jin Chai, Jian Wang 0022. ijfs, 24(8):3798-3811, 2022. [doi]

Autonomous Vehicle Modeling and Velocity Control Based on Decomposed Fuzzy PIDRunmei Li, Shangjie Deng, Yongchao Hu. ijfs, 24(5):2354-2362, 2022. [doi]

2021

2020

Traffic Signal Control Using Genetic Decomposed Fuzzy SystemsRunmei Li, Shujing Xu. ijfs, 22(6):1939-1947, 2020. [doi]

T2F-LSTM Method for Long-Term Traffic Volume PredictionRunmei Li, Yongchao Hu, Qiuhong Liang. tfs, 28(12):3256-3264, 2020. [doi]

2019

Long-Term Traffic Volume Prediction Based on Type-2 Fuzzy Sets with Confidence Interval MethodRunmei Li, Yinfeng Huang, Jian Wang. ijfs, 21(7):2120-2131, 2019. [doi]

Long-term traffic volume prediction based on K-means Gaussian interval type-2 fuzzy setsRunmei Li, Yinfeng Huang, Jian Wang. ieeejas, 6(6):1344-1351, November 2019. [doi]

2017

Multiple Vehicle Formation Control Based on Robust Adaptive Control AlgorithmRunmei Li, Liwei Zhang, Lu Han, Jian Wang. itsm, 9(2):41-51, 2017. [doi]

2016

A combined forecasting method for traffic volumeKaibing Xie, Runmei Li. soli 2016: 95-100 [doi]

2014

Footprint of uncertainty for type-2 fuzzy setsHong Mo, F. Y. Wang, Min Zhou, Runmei Li, Zhiquan Xiao. isci, 272:96-110, 2014. [doi]

2011

Modeling and analyzing transportation systems based on ACP approachFenghua Zhu, Fei-Yue Wang, Runmei Li, Yisheng Lv, Songhang Chen. itsc 2011: 2136-2141 [doi]

2009

On the layout of fixed urban traffic detectors: an application studyRunmei Li, Libin Jia. itsm, 1(2):6-12, 2009. [doi]

2007

A Study on Multiple user-classes Dynamic traffic assignmentRunmei Li, Sharron Tang. icnsc 2007: 513-518 [doi]

Sign in or sign up to see more results.

runs on WebDSL