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Intelligent Transportation Systems for Smart Cities

Explore the integration of intelligent techniques in transportation systems to optimize mobility, traffic flows, and increase safety in smart cities scenarios. Learn about machine learning algorithms, event-based driving, and infrastructure monitoring.

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Intelligent Transportation Systems for Smart Cities

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  1. Francesco Mazzola The Internet of Things for Intelligent Transportation Systems in Real Smart Cities Scenarios Limerick - April 2019 WS12-First Workshop on Internet of Things for Transportation and Logistics (IoTTL),

  2. IoT in Logistics and Transportation Systems

  3. Smart Logistic and Smart Delivery • IoT Event Based Optimized Route to avoid potential delays in delivery schedule and increasing safety • More detailed tracking with real-time position shipping information • Recoverassets in specific position

  4. Whatis an IntelligentTransportation System (ITS)? A system that makes “standard” transportation systems smart by the integration of Intelligent techniques such as Machine Learning, Vehicle connectivity, Event based Driving, Infrastructure monitoring INTELLIGENT TRANSPORTATION SYSTEM (ITS) Vehicles are connected and communicates with a sensor infrastructure (Vehicle to Infrastructure) or with other vehicles (Vehicle to Vehicle) within a RSU (Road Side Unit) ITS can improve transportation efficiency optimizing mobility, traffic flows and reducing incidents and trip time

  5. ITS Requirements • Communication Protocols that satisfy even particular kind of environment (long distance, harsh roads, low latency for emergency applications) • Machine Learning algorithm to enabling advanced functionality like Event based driving, autonomous vehicle and prescriptive maintenance • Improve roads and end users safety • Provide an enhancement of information security to be exchanged

  6. ITS MainCommunicationProtocols

  7. ITS Main Machine Learning Techniques • Object Recognition using Deep Neural Networks (i.e. Convolutional Neural Networks) • Prescriptive Maintenance (PM) is an increasing new sector for smart cities, it consists on a trained artificial intelligence network that monitors and detects anomalies to recognize how and when an anomaly may occurs • PM represents the natural evolution of predictive algorithms

  8. Object Recognition • Object Recognition is a Computer Vision technique to make a trained network able to recognize a video or an image through a series of processing algorithms • Typically a Deep Neural network is used (i.e. Convolutional Neural Network) able to classify a series of image/video

  9. Prescriptive Analysis It can be done using two nested ML algorithms, with an Unsupervised Learning Algorithm a specific behavior/anomaly is detected, then is managed training a Supervised Learning Algorithm to take specific decisions based on different events Features Anomalies Output Behavior Unsupervised Learning Algorithm Supervised Learning Algorithm Predictive Analysis PrescriptiveAnalysis ExpectedBehavior

  10. REST / API Dashboard Web/Portal Event Processing and Analytics Smart Cities Reference Architecture Identity & Access Management InfoBroker / Security Layer Device Manager Message Dispatcher / MQTT Smart Cities Control and Management Sensors/Actuators Ref: “The Internet of Things for Intelligent Transportation Systems in Real Smart Cities Scenarios” - Brincat, Pacifici, Martinaglia, Mazzola

  11. InfoBroker: Security Layer Event Processing & Analytics Message Dispatcher Industry InfoBroker Healt Vehicle People Security Layer IAM Data management and filter Device Manager Farm Building Roads • Transmitted data encryption • User Authentication • User location privacy • Decentralized information

  12. InfoBroker: Data management and filter Event Processing & Analytics Message Dispatcher Industry InfoBroker Healt Vehicle People IAM Security Layer Data management and filter Device Manager Farm Building Roads • Collects managed information from multiple data sources • Apply Security control of Information received • Provide profiled and filtered based information to secure end-points • Core service for traffic congestion avoidance

  13. Device Manager Event Processing & Analytics Message Dispatcher Industry InfoBroker Healt Vehicle People IAM Security Layer Data management and filter Farm Device Manager Building Roads • Display information about device types • Provide a list of customizable widgets • Show list of all created devices • Provide several tools to device parameter customization

  14. IAM (Identity Access Management) • User Access control and identification • Role creation and permission management • Data integrity protection • Prevent security attacks (Sybil Attack and Information manipulation) User Identification Cloud Based Access Control

  15. PrincipalTypes of Security Attack Countermeasures

  16. Event Processing & Analytics Prescriptive Analysis Output Data • Show output data and analytics based on Information obtained from a Prescriptive Analysis algorithms • This data are collected and showed in a Dashboard to make this data accessible to end users

  17. Traffic Management • Advanced Information Traffic Flow Control • Vehicle Identification • Network Optimization • Enhanced Traffic Flow Artificial Intelligence Module Predictive and Prescriptive Analysis Object Recognition Violation and Alert Detection Augmented/mixed Reality interaction Localization (GPS/LoRa) Controller Area Network (CAN) Smart Roads: Data Flow Environment Models Route Planningand Safety Traffic Congestion Prevention Pollution Reduction Incident Reduction Enhanced Traffic Flow Wind, Temperature, Moisture, Pressure, Rain Pollution Model RF MEASUREMENTS EventBasedDriving Monitoring Models Traffic Flows and Infrastructure

  18. Smart Roads: Sample Use Cases • Car windshield with Extended Reality • V2X communication • Infrastructure monitoring • Intelligent traffic control center • Mission criticalalerts • Event baseddriving • Optimized traffic flow • Intelligent traffic signs

  19. Car windshield with Extended Reality • Context gets filtered information from other RSUs, Vehicles and objects that can be used for improve driving experience • Using alternative corridors in case of exceeding of traffic flow density • Decrease drivers response time and improve reaction time

  20. IntelligentSmart Roads Sensors parameters in real smart cities scenarios

  21. T.net isplanningtoday innovative servicesfortomorrow

  22. ITS World Congress, Copenaghen,September 17-21 2018 An International Path • UK Highways, Birmingham, November 07-08 2018 • Accelero Capital enters in T.net, • February 25 2019 • Smart City EXPO World Congress, Barcelona, November 13-15 2018 • EIT Innovation Day, London, December 13 2018 • World Forum Internet of Things,Limerick, • April 15-18 2019

  23. T.net Business Drivers

  24. TNET4IOT T.net Business and Production Model Smart Farming ITS Digital Cities Wi-Fi in motion IOT - Infrastructure Monitoring DSRC – C-ITSEvent BasedDriving Smart Lightning Smart Metering Smart Parking Smart Bin BreedingPLF

  25. Q&A

  26. Thanks! You can find me at: @fmazzola fmazzola@tnet.it

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