Institute of Architecture of Application Systems

Research

Algorithmic Planning, Simulation and Validation of Smart, Shared Parking Services using Last Mile

Hardware

Muralikrishna Thulasi Ramanst164234@stud.uni-stuttgart.de

Introduction

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hImportant Background Terminologies

▪ Smart gate and Smart parking▪ VANET

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hContribution

▪ Setting up simulation-based testbed▪ System design by extending existing mathematical models▪ Analyse parameters related to various stakeholders

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Simulation Scenario

System Design changes

Scenario input setup

Output logs and data

Further processing and Inference

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hLimitations of previous work

▪ Surveys to gather data▪ Mathematical models - System design

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System Design and Architecture

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hMicroscopic area or Simulation base map network

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OSM SUMO Network

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hApproach - Shared Private Parking Model in Web Service

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hDesign of the system

▪ Mathematical model - I (Focus on preferred walking distance)

▪ Mathematical model - II (Focus on overtime revenue)

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hData flow between components

Parking Request Resume

Results

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hMetrics

▪ Vehicular Emission, Reroutes and Distance travelled▪ Utilization rate of parking lots ▪ Revenue generated by parking lots▪ Correlation heatmap

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hSimulation-based testbed setup

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hEmploying a communication strategy to search for a parking spot

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hBenefits of shared private parking model to vehicle or drivers

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hBenefits of shared private parking model to parking lot owners - Utilisation Rate

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hBenefits of shared private parking model to parking lot owners - Revenue

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hEffects of change in number of shared private parking lots

Conclusion

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hConclusion

▪ Proving effectiveness of the shared private parking model▪ Improvement to traditional model by lesser emissions▪ Comparison analysis to prove effectiveness▪ Correlation analysis to conclude reaction of vehicles and model.

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hOut of scope

▪ Ensure better scalability▪ Better route planning ▪ Needs parking and overtime parking behaviour model▪ To improve standardisation of V2X messages

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hFuture Works

▪ Larger city-based scenario▪ HIL Simulation or Digital testbed▪ Bike travel as Intermodal travel option

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Questions?

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Appendix

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hSurvey

▪ Among 34 employees from itemis▪ From different German locations▪ To gather opinions on shared private parking model

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hDemand data survey points

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hRoute planning procedure

▪ Sources and destinations are chosen as geographic coordinates▪ Fed to custom script▪ Integrated database is used for navigation

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hShared Private Parking Lots model database schema

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hApplications deployed in vehicle and RSU

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hDesign - Cellular Automata - Allocation module

▪ Cellular Automata used in allocation module▪ Ensures even distribution▪ Rule type - Rule 51▪ Expression: t - t

lr,m > t

th

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hAllocation Module stages

Use P2

Special Case

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hApproach - Technical stack

▪ Eclipse MOSAIC - V2X Framework with vehicles, RSUs▪ Eclipse SUMO - Simulates traffic

▪ Python based web service - Hosts the shared private parking model▪ Python scripts for processing and analysis

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hSimulation-based testbed setup

▪ Need for a setup▪ Facilitates to extract logs▪ Emission logs and Database records

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hCorrelation analysis between vehicular emissions and distance travelled

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hUtilisation of individual parking lots

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