Smart Cities, Green Technologies, and Intelligent Transport Systems: 10th International Conference, SMARTGREENS 2021, and 7th International Conference, VEHITS 2021, Virtual Event, April 28–30, 2021, Revised Selected P(1612 Communications in Computer and Information Science)

​This book includes extended and revised selected papers from the 10th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2021, and 7th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2021, held as virtual event, in April 28-30, 2021. The conference was held virtually due to the COVID-19 crisis.
The 22 full papers included in this book were carefully reviewed and selected from 140 submissions. The papers present research on advances and applications in the fields of smart cities, electric vehicles, sustainable computing and communications, energy aware systems and technologies, intelligent vehicle technologies, intelligent transport systems and infrastructure, connected vehicles.

Table of Contents:
​Smart Cities and Green ICT Systems.- Designing Air Quality Monitoring Systems in Smart Cities.- Identifying requirements to improve data lifecycle modelling in smart city frameworks.- A Spatial-temporal Comparison of EV Charging Station Clusters Leveraging Multiple Validity Indices.- Facade Material Identification for Optimizing Building Energy Consumption across Various WWRs for ECBC(Code) Compliant Buildings in Warm-humid Climate, India.- Pretopological Hierarchical Clustering for BuildingsPortfolio.- Analysis of Citizen's Feedback from the Lens of Smart City Framework: A Case Study based Approach.- A Decision Support System based on Rainfall Nowcasting and Artificial Neural Networks to Mitigate Wastewater Treatment Plant Downstream Floods.- Impact of BIPV Panels Across Various Window-to-Wall Ratios in Commercial Buildings, to Reduce its Energy Performance Index in Warm and Humid Climate Zone of India.- Building Rich Interior Hazard Maps for Public Safety.- Vehicle Technology and Intelligent Transport Systems.- A Scalable Approach to Vocation and Fleet Identification for Heavy-duty Vehicles.- A Two-Stage Network for Traffic Sign Detection and Recognition.- Traffic Estimation and MPC-based Traffic Light System Control in Realistic Real-time Traffic Environments.- Solving Complex Intersection Management Problems using Bi-level MINLPs and Piecewise Linearization Techniques.- Interaction-aware Motion Prediction at Highways: A Comparison of Three Lane Changing Models.- A Hierarchical Dependency-driven Scenario-based Testing for Autonomous Vehicles.- Optimal Control of Traffic Flow based on Reinforcement Learning.- Detecting Extended Incidents in Urban Road Networks for Organic Traffic Control using Density-based Clustering of Traffic Flows.- Cooperative Driving: Research on Generic Decentralized Maneuver Coordination for Connected and Automated Vehicles.- Free-flow Speed Profile Prediction for Tangent Segments on Urban Roads.- Interpretable Privacy-preserving Collaborative Deep Learning for Taxi Trip Duration Forecasting.- Development of a Safe Charging Infrastructure System: Requirements, Design, Verification & Validation.- Digital Energy: Towards Comprehensive Digital Support for aRenewable-based Energy Sector.