Full Description
This book constitutes the proceedings of the 4th International Conference on Intelligent Transport Systems, INTSYS 2020, which was held in December 2020. Due to COVID-19 pandemic the conference was held virtually.
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 16 revised full papers in this book were selected from 38 submissions and are organized in three thematic sessions on mobility; applications; simulation and prediction.
Contents
Mobile Ticketing Customers: how to attract them and keep them loyal.- Understanding spatiotemporal station and trip activity patterns in the Lisbon bike-sharing system.- A Context-Sensitive Cloud-Based Data Analytic Mobile Alert and Optimal Route Discovery System for Rural and Urban ITS Penetration.- Carpooling Systems Aggregation.- An Individual-based Simulation Approach to Demand Responsive Transport.- Dependable and Efficient Cloud-based Safety-Critical Applications by Example of Automated Valet Parking.- Effective Non-invasive Runway Monitoring System Development using Dual Sensor Devices.- Adopting Blockchain in Supply Chain - an approach for a pilot.- An Integrated Lateral and Longitudinal Look Ahead Controller for Cooperative Vehicular Platooning.- Impact of charging infrastructure surroundings on temporal characteristics of electric vehicle charging sessions.- Deployment of electric buses: planning the fleet size and type, charging infrastructure and operations with an optimization-based model.- Logistics Infrastructure of Automobile Industry Between Germany and Poland.- Simulation and Prediction.- Performance Evaluation of Object Detection Algorithms under Adverse Weather Conditions.- Automotive Radar Signal and Interference Simulation for Testing Autonomous Driving.- EMD-SVR: A hybrid machine learning method to improve the forecasting accuracy of highway tollgates travelling time to improve the road safety.- Smart Surveillance of Runway Conditions.
