Intelligent Transport Systems : 6th EAI International Conference, INTSYS 2022, Lisbon, Portugal, December 15-16, 2022, Proceedings

This book constitutes the proceedings of the 6 th International Conference on Intelligent Transport Systems, INTSYS 2022, which was held in Lisbon, Portugal, in December 15-16, 2022. With the globalization of trade and transportation and the consequent multi-modal solutions used, additional challenges are faced by organizations and countries. Intelligent Transport Systems make transport safer, more efficient, and more sustainable by applying information and communication technologies to all transportation modes. The 15 revised full papers in this book were selected from 45 submissions and are organized in three thematic sessions on smart city; transportation modes and AI; intelligent transportation and electric vehicles. Preface Organization Contents Smart City Analysis of the Tourist’s Behavior in Lisbon Using Data from a Mobile Operator 1 Introduction 2 Related Work 3 Knowledge Extraction Approach 3.1 Business Understanding 3.2 Data Understanding 3.3 Data Preparation 4 Insights and Visualizations 4.1 Where Do the Top Visitors of Lisbon Come from? 4.2 What Are the Most Visited Areas of Lisbon? 4.3 Where Are the Tourists During the Mealtimes and Where Do They Sleep? 4.4 Event Analysis 5 Conclusions References Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study 1 Introduction 1.1 Motivation and Topic Relevance 1.2 Research Questions and Objectives 1.3 Structure 2 Literature Review 2.1 Methodology 2.2 Results 3 Data Analysis and Modeling 3.1 Business Understanding 3.2 Data Understanding 3.3 Data Preparation 3.4 Modeling 3.5 Deployment 4 End-User Evaluation 5 Discussion and Conclusions References Analyzing Urban Mobility Based on Smartphone Data: The Lisbon Case Study 1 Introduction 1.1 Motivation and Topic Relevance 1.2 Research Question and Objective 1.3 Structure 2 Literature Review 2.1 Methodology 2.2 Results 3 Data Mining 3.1 Business Understanding 3.2 Data Understanding 3.3 Data Preparation 3.4 Modeling 3.5 Discussion 3.6 Research Limitations 3.7 Future Work References Traceability, Optimization and Cooperative Vehicles Platooning Development of a Hardware in the Loop Ad-Hoc Testbed for Cooperative Vehicles Platooning 1 Introduction 2 Background 2.1 Cooperative Vehicular Platooning 2.2 Vehicular Communications 3 HIL Simulation Architecture 3.1 Platooning Application 3.2 Communication via Wireless Media 3.3 OBU-Simulation Connection 4 System Evaluation 4.1 Scenario Results 5 Conclusion and Future Works References Optimal Control Based Trajectory Planning Under Uncertainty 1 Introduction 2 Related Work 3 Problem Formulation 3.1 Driving Scenario 3.2 Optimal Control Problem 3.3 An Example of Our Module 3.4 Stochastic Model 4 Numerical Experiments 4.1 Experimentation Set-Up 4.2 Examples of Solutions 4.3 Effects of Different Configurations 4.4 Comparison of Robustness 5 Conclusions and Future Work References Traceable Distribution of Fish Products: State of the Art of Blockchain Technology Applications to Fish Supply Chains 1 Introduction 2 Blockchain Technology Features and Implications to Supply Chain Management 3 Methodology 4 Discussion 4.1 Traceability and Transparency of Blockchain-Based Fish Supply Chains 4.2 Blockchain Driven Improvements for Fish Supply Chains 4.3 Current Challenges of Blockchain-Based Solutions for Fish Supply Chains 5 Conclusions and Future Research References Transportation Modes and AI Train Rides Through Europe – Which Changes Do the Passengers Need? 1 Introduction 2 Influencing Factors of Travel Mode Choice 3 Study Design 3.1 Method 3.2 Participants 3.3 Procedure of the Focus Group Discussion 4 Results 4.1 Barriers 4.2 Needs and Requirements 5 Discussion 6 Conclusion and Further Work References Adaptive Dimming of Highway Lights Using Recurrent Neural Networks 1 Introduction 2 Related Work 3 Light Emitting Diodes 4 Intelligent Traffic Management Systems 5 Traffic Load Prediction 5.1 Data Acquisition 5.2 Machine Learning Algorithms 5.3 Optimal Model 5.4 Evaluation 6 Conclusions References Berth Allocation Problem in Export Tidal Bulk Ports with Inventory Control 1 Introduction 2 Related Works 3 Mathematical Modelling 4 Computational Experiments 4.1 Instance Generator 4.2 Instance Dataset 4.3 Commercial Solver 4.4 Computational Experiment 5 Conclusion References Intelligent Transportation and Electric Vehicle Bus Journey Time Prediction: A Comparison of Whole Route and Segment Journey Time Predictions Using Machine Learning 1 Introduction 2 Data 3 Methodology 3.1 Historical Averages (HA) 3.2 Whole Journey Prediction with Calculated Proportion (WJP-C) 3.3 Whole Journey Prediction with Predicted Proportion (WJP-P) 3.4 Segment Prediction (SP) 3.5 Testing 4 Results and Discussion 4.1 Impact of Number of Segments 4.2 Impact of Route 4.3 Impact of Temporal Variables 4.4 Computational and Storage Resources 5 Conclusion References Detection of Distracted Driving: A Smartphone-Based Approach*-12pt 1 Introduction 2 Related Work 3 CAReful: An App for Detecting Distracting Behaviors 3.1 Drowsiness 3.2 Turned Head 3.3 Usage of Smarthphone 3.4 Smartphone Fall 3.5 Excessive Noise 3.6 Trip Logging and Road Tortuosity 4 Distraction Score 5 Conclusion References Detection of Invisible/Occluded Vehicles Using Passive RFIDs 1 Introduction 1.1 Challenges of Vehicle Detection 1.2 Related Works 1.3 Proposed Solution for Detection of Invisible/Occluded Vehicles 2 Make Vehicles Detectable by Using RFIDs 2.1 Durability and Detection Range of Passive RFIDs 2.2 User Memory on RFID Tags 3 Overcome the Limitations of RFID’S Storage Space 3.1 Vehicle Segmentation 3.2 Shape Selection 3.3 Distance Calculation and Parameters Fine-Tuning 4 Design of Data Structure for RFID Tags 4.1 Data Structure in a Tag 4.2 Attach Multiple Tags to a Surface 5 Detection of Invisible/Occluded Vehicles 5.1 Direction and Distance Estimation of Passive RFID Tags 5.2 Estimation of Vehicle’s Orientation 6 Performance Evaluation 6.1 Experiment Configurations 6.2 Effectiveness of RFID Detection 6.3 Effectiveness of Occluded Object Detection 7 Conclusion References Predictive Energy Management for Battery Electric Vehicles with Hybrid Models 1 Introduction 2 Background and Approach 2.1 Prediction of Energy Consumption 2.2 Hybrid Modeling for Energy Consumption Prediction 2.3 Data Set 3 Evaluation and Results 3.1 Generalized Additive Mixed Models (GAMMs) 3.2 Random Forest 3.3 Boosting 3.4 Overall Comparison 4 Conclusions References Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System*-12pt 1 Introduction 2 Literature Review 3 Problem Description of E-VRPD 4 Sequential Decomposition Algorithm 4.1 Decomposition Phase 4.2 Improvement Phase 5 Numerical Experiments and Analysis 5.1 Experiments Settings 5.2 Benchmark Problems 5.3 Comparison to Existing Techniques 5.4 Experimental Results and Analysis 6 Conclusions References Integrated Passenger-Freight Transportation Model: Metro of Quito (Ecuador) as a Case Study 1 Introduction 2 Related Work 3 Mathematical Formulation 4 Case Study 5 Problem Statement 6 Case Study Results 7 Final Considerations References Author Index "This book constitutes the proceedings of the 6th International Conference on Intelligent Transport Systems, INTSYS 2022, which was held in Lisbon, Portugal, in December 15-16, 2022. With the globalization of trade and transportation and the consequent multi-modal solutions used, additional challenges are faced by organizations and countries. Intelligent Transport Systems make transport safer, more efficient, and more sustainable by applying information and communication technologies to all transportation modes. The 15 revised full papers in this book were selected from 45 submissions and are organized in three thematic sessions on smart city; transportation modes and AI; intelligent transportation and electric vehicles."-- Page 4 of cover