Proceedings of the 12th International Scientific Conference on Mobility and Transport : Mobility Innovations for Growing Megacities

"This book presents the proceedings of the 12th International Scientific Conference on Mobility and Transport (mobil.TUM 2022) held on 57 April 2022 in Singapore and organized by Technical University of Munich Asia. It presents articles in builds on the interdisciplinary approach in mobility and transportation systems for academia and industries. The topics represent the strong synergy between data analytics, new communication concepts, traffic management, modelling, and simulation to enable inspiration from the latest innovations and explore new directions where public transit is headed to meet the rising challenge of rapid urbanization. It caters to researchers and practitioners who have keen interest in the latest development of transportation systems which can sustain the rapid rise in urbanization."-- Provided by publisher Contents Editorial The Impact of Autonomous Vehicles and Their Driving Parameters on Urban Road Traffic 1 Problem Statement 2 Research Objectives and Motivation 3 Literature Review 4 Methodological Approach 5 Results 6 Conclusions References Enhancing Robustness Against Component Failures in Intelligent Transportation Systems Through Self-diagnosis Functionality 1 Introduction 2 Related Work 3 Methodology 3.1 Heartbeat 3.2 Sensor Metadata Checking 3.3 Process Pipeline Checking 3.4 Measurement Point Cross-Checking 4 Results 5 Conclusion References Can Carsharing Reduce Car Ownership and Emissions? An Analysis Based on an Intermediate Modelling Approach 1 Introduction 2 Case Study Description 3 Methodological Approach 3.1 Synthetic Population and Mode Choice 3.2 Car-Ownership Module 3.3 Emission Model 3.4 Induced Demand 4 Results 5 Conclusions References Optimizing Passenger Flows in a Multimodal Personal Rapid Transit (PRT) Station Using Microscopic Traffic Simulation 1 Introduction 2 Related Work 3 Methodology 4 Results and Discussion 5 Summary and Conclusion References Building a Multi-sided Data-Driven Mobility Platform: Key Design Elements and Configurations 1 Introduction 2 Problem Statement 3 Theoretical Framework 3.1 Multi-sided Platform: Designs and Mechanisms 3.2 Value Creation 3.3 Value Delivery 3.4 Value Capture 3.5 Mobility Data Platforms 4 Methodology 4.1 Morphological Box for Building Data-Driven Mobility Platforms 5 Testing the Morphological Box—A Case Study Analysis 5.1 Case 1: HERE Platform 5.2 Case 2: CARUSO Dataplace 5.3 Case 3: mCLOUD 6 Conclusions and Limitations 6.1 Scientific Contributions 6.2 Managerial Implications 6.3 Future Research and Limitations References Generating Standardized Agent-Based Transport Models in Germany 1 Introduction 2 Literature Review and Research Objective 3 Data Sources 4 Methodological Approach 5 Methodology Application and Evaluation 6 Conclusion and Outlook References Simulation of Car-Sharing Pricing and Its Impacts on Public Transport: Kyoto Case Study 1 Introduction 2 Literature Review 3 Methodology 3.1 Notation 3.2 Base Model 3.3 Extension to Non-uniform Public Transport Network and Improved Choice Model 3.4 Evaluation 4 Kyoto City Case Study 4.1 Introduction 4.2 Data 4.3 Network 4.4 Results 4.5 Sensitivity: Demand Distribution, Base Tariff and Fleet Size 5 Discussion and Conclusion References Analysing Long-Term Effects of the Covid-19 Pandemic on Last-Mile Delivery Traffic Using an Agent-Based Travel Demand Model 1 Introduction 2 Materials and Methods 2.1 Data 2.2 Estimation of Online Shopping Demand 2.3 Modelling Framework 3 Results and Discussion 4 Conclusion References How Far Are We From Transportation Equity? Measuring the Effect of Wheelchair Use on Daily Activity Patterns 1 Introduction 2 Literature 3 Methods 3.1 Choice Model 3.2 ActivitySim Implementation 4 Results 4.1 Choice Analysis 4.2 Activity-Based Model 5 Discussion 6 Conclusion References Impacts of Inner-City Consolidation Centres on Route Distances, Delivery Times and Delivery Costs 1 Introduction 2 Methodology 2.1 Multilevel Model LOCAMM to Demonstrate the Impact of Changes in the Urban System 2.2 General Considerations About the Chosen Delivery District 2.3 Boundaries of the Introduced Multilevel Model and Procedure of the Parcel Quantity Determination Calculation of the Parcel Demand 2.4 Definition of the Scenarios 2.5 Simulation Boundaries 2.6 Simulation in MATSim Using JSprit 3 Results of the Simulation Study 4 Conclusion References Forecasting Parking Search Times Using Big Data 1 Introduction 2 Cruising for Parking Background 2.1 Parking Search Behavior 3 Study Areas 4 The Data 5 Detecting Cruising 5.1 New Cruising Detection Method 6 Forecasting Cruising Time 7 Conclusions References Real-Time And Robust 3D Object Detection with Roadside LiDARs 1 Introduction 1.1 Problem Statement 1.2 Objectives 1.3 Contribution 2 Related Work 2.1 Point-Based Methods 2.2 Voxel-Based Methods 2.3 Hybrid Methods 2.4 Projection-Based Methods 3 Data Generation 3.1 Real Data Generation 3.2 Synthetic Data Generation 4 Approach 4.1 Point Cloud Registration 4.2 Voxelization 4.3 Stacked Triple Attention 4.4 Pillar Feature Net 4.5 Attentive Hierarchical Middle Layers 4.6 Multi-task Head 4.7 Shape-Aware Data Augmentation 4.8 Self-ensembling Training Framework 5 Evaluation 5.1 Ablation Studies 5.2 KITTI Dataset 5.3 IPS300+ Roadside Dataset 5.4 A9-Dataset 6 Conclusion 7 Future Outlook References Estimating the Number of Tourists in Kyoto Based on GPS Traces and Aggregate Mobile Statistics 1 Introduction 2 Literature Review 3 Tourism in Kyoto and Data Overview 3.1 Tourism in Kyoto 3.2 Mesh Data 3.3 GPS Data 3.4 Point of Interest (POI) Data 3.5 Public Transportation Data 4 Tourist Number Estimation from Mobile Spatial Statistics 5 Tourist Number Estimation from GPS Traces and POI Information 5.1 Linear Regression Model 5.2 Hierarchical Linear Models 5.3 Estimation of the Number of Tourists Within the Touristic Areas 6 Conclusion References Development of an Evaluation System for Virtual Ridepooling Stops: A Case Study 1 Introduction 2 Methodology 2.1 Evaluation Criteria 2.2 Empirical Investigation 3 Case Study 4 Results 5 Discussion 6 Conclusion References Prediction of Signal Phase and Timing Information: Comparison of Machine Learning Algorithm Performance 1 Introduction and Background 2 Methodology and Data 2.1 Methodology 2.2 Data Preprocessing 3 Results 4 Conclusion 5 Appendix References