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ORCIDZhengbing He
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2020 – today
- 2024
[j30]Kunpeng Zhang
, Feng Zhou, Lan Wu, Na Xie, Zhengbing He:
Semantic understanding and prompt engineering for large-scale traffic data imputation. Inf. Fusion 102: 102038 (2024)- [j29]Yuebing Liang, Zhan Zhao, Fangyi Ding, Yihong Tang, Zhengbing He:
Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network. Inf. Fusion 106: 102294 (2024) - [j28]Zhenghong Wang, Yi Wang, Furong Jia, Fan Zhang, Nikita Klimenko, Leye Wang, Zhengbing He, Zhou Huang, Yu Liu:
Spatiotemporal Fusion Transformer for large-scale traffic forecasting. Inf. Fusion 107: 102293 (2024) - [j27]Zhengbing He:
Refining Time-Space Traffic Diagrams: A Simple Multiple Linear Regression Model. IEEE Trans. Intell. Transp. Syst. 25(2): 1465-1475 (2024) - [j26]Chen Yang, Xiaolei Wang, Yuzhen Feng, Luohan Hu, Xing Yang, Zhengbing He:
A Prediction-Based Forward-Looking Vehicle Dispatching Strategy for Dynamic Ride-Pooling. IEEE Trans. Intell. Transp. Syst. 25(11): 16925-16937 (2024) - [i7]Xiaolei Wang, Chen Yang, Yuzhen Feng, Luohan Hu, Zhengbing He:
A prediction-based forward-looking vehicle dispatching strategy for dynamic ride-pooling. CoRR abs/2403.06463 (2024) - [i6]Kangning Hou, Jia Zou, Fangfang Zheng, Xiaobo Liu, Zhengbing He:
On the precise quantification of the impact of a single discretionary lane change on surrounding traffic. CoRR abs/2407.18557 (2024) - [i5]Yuxuan Zhu, Shiyi Wang, Wenqing Zhong, Nianchen Shen, Yunqi Li, Siqi Wang, Zhiheng Li, Cathy Wu, Zhengbing He, Li Li:
Will Large Language Models be a Panacea to Autonomous Driving? CoRR abs/2409.14165 (2024) - 2023
- [j25]Yang Yu, Zhengbing He, Xiaobo Qu:
On the Impact of Prior Experiences in Car-Following Models: Model Development, Computational Efficiency, Comparative Analyses, and Extensive Applications. IEEE Trans. Cybern. 53(3): 1405-1418 (2023) - [j24]Jia He, Jie Qu, Jian Zhang, Zhengbing He:
The Impact of a Single Discretionary Lane Change on Surrounding Traffic: An Analytic Investigation. IEEE Trans. Intell. Transp. Syst. 24(1): 554-563 (2023) - [j23]Shiyi Wang, Yuxuan Zhu, Zhiheng Li, Yutong Wang, Li Li, Zhengbing He:
ChatGPT as Your Vehicle Co-Pilot: An Initial Attempt. IEEE Trans. Intell. Veh. 8(12): 4706-4721 (2023) - [j22]Haoran Jiang, Zhihong Yao, Yangsheng Jiang, Zhengbing He:
Is All-Direction Turn Lane a Good Choice for Autonomous Intersections? A Study of Method Development and Comparisons. IEEE Trans. Veh. Technol. 72(7): 8510-8525 (2023) - [i4]Kunpeng Zhang, Lan Wu, Liang Zheng, Na Xie, Zhengbing He:
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding. CoRR abs/2301.11691 (2023) - 2022
- [j21]Zijian Bai, Lei Yang, Chenyi Fu, Zhaocai Liu, Zhengbing He, Ning Zhu:
A robust approach to integrated wireless charging infrastructure design and bus fleet size optimization. Comput. Ind. Eng. 168: 108046 (2022) - [j20]Jincai Huang, Yunfei Zhang, Min Deng, Zhengbing He:
Mining crowdsourced trajectory and geo-tagged data for spatial-semantic road map construction. Trans. GIS 26(2): 735-754 (2022) - [j19]Hongsheng Qi, Zhengbing He:
Road Intersection Optimization Considering Spatial-Temporal Interactions Among Turning Movement Spillovers. IEEE Trans. Intell. Transp. Syst. 23(5): 4291-4304 (2022) - [j18]Kunpeng Zhang, Xiaoliang Feng, Lan Wu, Zhengbing He:
Trajectory Prediction for Autonomous Driving Using Spatial-Temporal Graph Attention Transformer. IEEE Trans. Intell. Transp. Syst. 23(11): 22343-22353 (2022) - [c3]Shuai Wen, Xin Gu Shahd Omar, Xi Jin, Zhengbing He:
Analysis of Vehicle Driving Styles at Freeway Merging Areas Using Trajectory Data. ITSC 2022: 3652-3656 - [i3]Zhengbing He:
Refining time-space traffic diagrams: A multiple linear regression model. CoRR abs/2204.04457 (2022) - 2021
- [j17]Kunpeng Zhang, Zhengbing He, Liang Zheng, Liang Zhao, Lan Wu:
A generative adversarial network for travel times imputation using trajectory data. Comput. Aided Civ. Infrastructure Eng. 36(2): 197-212 (2021) - [j16]Lili Lu, Zhengbing He, Jian Wang, Jufeng Chen, Wei Wang:
Estimation of lane-level travel time distributions under a connected environment. J. Intell. Transp. Syst. 25(5): 501-512 (2021) - [j15]Bo Fan, Yuan Wu, Zhengbing He, Yanyan Chen, Tony Q. S. Quek, Cheng-Zhong Xu:
Digital Twin Empowered Mobile Edge Computing for Intelligent Vehicular Lane-Changing. IEEE Netw. 35(6): 194-201 (2021) - 2020
- [j14]Bo Fan, Zhengbing He, Hui Tian, Dewen Kong, Yanyan Chen:
Energy-Efficient Resource Allocation for Dynamic Priority-Based Vehicular Mobile-Health Communications. IEEE Syst. J. 14(2): 2097-2108 (2020) - [j13]Zhengbing He, Wenyi Zhang, Ning Jia:
Estimating Carbon Dioxide Emissions of Freeway Traffic: A Spatiotemporal Cell-Based Model. IEEE Trans. Intell. Transp. Syst. 21(5): 1976-1986 (2020) - [j12]Bo Fan, Zhengbing He, Yuan Wu, Jia He, Yanyan Chen, Li Jiang:
Deep Learning Empowered Traffic Offloading in Intelligent Software Defined Cellular V2X Networks. IEEE Trans. Veh. Technol. 69(11): 13328-13340 (2020)
2010 – 2019
- 2019
- [j11]Lishan Liu, Ning Jia, Lei Lin, Zhengbing He:
A Cohesion-Based Heuristic Feature Selection for Short-Term Traffic Forecasting. IEEE Access 7: 3383-3389 (2019) - [j10]Geqi Qi, Wei Guan, Zhengbing He, Ailing Huang:
Adaptive kernel fuzzy C-Means clustering algorithm based on cluster structure. J. Intell. Fuzzy Syst. 37(2): 2453-2471 (2019) - [j9]Zhengbing He, Jia Hu, Byungkyu Brian Park, Michael W. Levin:
Vehicle sensor data-based transportation research: Modeling, analysis, and management. J. Intell. Transp. Syst. 23(2): 99-102 (2019) - [j8]Dong-fan Xie, Xiaomei Zhao, Zhengbing He:
Heterogeneous Traffic Mixing Regular and Connected Vehicles: Modeling and Stabilization. IEEE Trans. Intell. Transp. Syst. 20(6): 2060-2071 (2019) - 2018
- [j7]Jianmei Liu, Zhengbing He, Shuaiqi Ma:
An N-Path Logit-Based Stochastic User Equilibrium Model. IEEE Access 6: 20971-20986 (2018) - [j6]Zhengbing He, Liang Zheng, Lili Lu, Wei Guan:
Erasing Lane Changes From Roads: A Design of Future Road Intersections. IEEE Trans. Intell. Veh. 3(2): 173-184 (2018) - 2017
- [j5]Zhengbing He, Liang Zheng, Peng Chen, Wei Guan:
Mapping to Cells: A Simple Method to Extract Traffic Dynamics from Probe Vehicle Data. Comput. Aided Civ. Infrastructure Eng. 32(3): 252-267 (2017) - [j4]Xiaolei Ma, Zhuang Dai, Zhengbing He, Jihui Ma, Yong Wang, Yunpeng Wang:
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction. Sensors 17(4): 818 (2017) - [j3]Zhengbing He, Liang Zheng, Liying Song, Ning Zhu:
A Jam-Absorption Driving Strategy for Mitigating Traffic Oscillations. IEEE Trans. Intell. Transp. Syst. 18(4): 802-813 (2017) - [i2]Xiaolei Ma, Zhuang Dai, Zhengbing He, Yunpeng Wang:
Learning Traffic as Images: A Deep Convolution Neural Network for Large-scale Transportation Network Speed Prediction. CoRR abs/1701.04245 (2017) - [i1]Lei Lin, Zhengbing He, Srinivas Peeta, Xuejin Wen:
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach. CoRR abs/1712.04997 (2017) - 2016
- [j2]Zhengbing He, Liang Zheng, Wei Guan, Baohua Mao:
A self-regulation traffic-condition-based route guidance strategy with realistic considerations: Overlapping routes, stochastic traffic, and signalized intersections. J. Intell. Transp. Syst. 20(6): 545-558 (2016) - 2015
- [c2]Zhengbing He, Ailing Huang, Dongfang Ma, Ning Zhu:
A Discrete-Flow Form of the Point-Queue Model. ITSC 2015: 1383-1387 - 2014
- [j1]Ning Zhu, Yang Liu, Shoufeng Ma, Zhengbing He:
Mobile Traffic Sensor Routing in Dynamic Transportation Systems. IEEE Trans. Intell. Transp. Syst. 15(5): 2273-2285 (2014) - 2012
- [c1]Zhengbing He, Ailing Huang:
Approximating the Minimum Distribution of Two Normally Distributed Variables Each with the Same Mean and Variance. CSO 2012: 103-107
Coauthor Index
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