Shidong Liang

ORCID: 0000-0002-2191-6187
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About
Contact & Profiles
Research Areas
  • Traffic control and management
  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Transportation and Mobility Innovations
  • Autonomous Vehicle Technology and Safety
  • Urban Transport and Accessibility
  • Electric Vehicles and Infrastructure
  • Traffic and Road Safety
  • Vehicle emissions and performance
  • Advanced Decision-Making Techniques
  • Groundwater flow and contamination studies
  • Innovative Educational Techniques
  • Evacuation and Crowd Dynamics
  • Ideological and Political Education
  • Evaluation Methods in Various Fields
  • Simulation and Modeling Applications
  • Hydrology and Watershed Management Studies
  • Plant Parasitism and Resistance
  • E-commerce and Technology Innovations
  • Time Series Analysis and Forecasting
  • Photosynthetic Processes and Mechanisms
  • Reinforcement Learning in Robotics
  • Vehicular Ad Hoc Networks (VANETs)
  • Biodiesel Production and Applications
  • Healthcare Technology and Patient Monitoring

University of Shanghai for Science and Technology
2017-2025

Shanghai Institute for Science of Science
2025

University of Macau
2024

Tsinghua University
2014-2024

China State Construction Engineering (China)
2024

Jilin University
2015-2017

This paper explores the phenomenon of residential marginalization in China’s first-tier cities, focusing on its impacts urban youth and their adaptive strategies suburbanized living. As Beijing, Shanghai, Guangzhou, Shenzhen transform into global economic hubs, escalating housing crisis—characterized by rising property prices, speculative markets, restrictive planning, exclusionary Hukou system—has displaced low- middle-income renters, particularly young professionals, to suburban...

10.56397/as.2025.01.07 article EN Art and Society 2025-01-01

As elderly populations increase, their transportation needs are gaining significant attention. Conventional routes and stations often fail to meet these needs, which has led demand-responsive buses (DRBs). However, ordinary DRBs generally monofunctional. The concept of elderly-oriented is introduced in this paper. To improve passenger comfort security, being converted into a variety models suitable for the non-elderly, but planning such multi-model challenging. Retrofitting vehicles staffing...

10.1680/jtran.24.00084 article EN Proceedings of the Institution of Civil Engineers - Transport 2025-04-12

Short-term prediction of passengers' flow is one the essential elements operation and real time control for public transit. Although fine methodologies have been reported, they still need improvement in terms accuracy when current or future data either exhibit fluctuations significant change. To address this issue, study, a fusion method including Kalman filtering K-Nearest Neighbor approach proposed. The core point to design framework dynamically adjust weight coefficients predicted values...

10.1109/access.2019.2937114 article EN cc-by IEEE Access 2019-01-01

When bus priority control is implemented, if there a station between upstream detector and downstream signalized intersection, it will lead to the unpredictability of dwell time caused by stochastic number passengers waiting at station. This uncertainty means that bus’s arrival intersection cannot be predicted quite accurately. Therefore, signal strategy made in advance may fail, which brings about negative impact on operation for both buses cars intersection. To solve this problem, paper...

10.1177/03611981221113318 article EN Transportation Research Record Journal of the Transportation Research Board 2022-08-25

In a traditional transit system, passenger arrival time and bus running are typically random uncoordinated. This randomness gives the appearance of unbalanced demand unreliable services. Therefore, this paper proposes real-time control method for routes. our method, buses skip some stations turn back at appropriate stations, in order to balance along route improve overall service. Our considers typical changes stochastic travel buses. paper, number controlled vehicles any given is...

10.1155/2017/2960728 article EN cc-by Journal of Advanced Transportation 2017-01-01
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