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Solve the Problem of Urban Parking Through Carpooling System and Blockchain Advertising

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12791))

Abstract

Currently, the problem of urban parking is getting serious. Limited by laws and regulation, cannot go through improving the parking fee to reduce the demands. This research tries to use the internet of things (IoT) and blockchain to provide a carpooling system to reducing the needs of parking and urban traffic congestion. The research design to build a platform which is through social internet of the vehicle to make a connection between urban of vehicle and need of customers. Making passengers who have the same destination can ride the car together at any time and reducing the needs of urban parking. The passenger needs to watching advertising and provide the basic information itself to exchange the service of riding. Through the simulation could find that the design mechanism could achieve the expecting, reducing the needs of parking problem during the urban peak hours. If the design mechanism and service pattern could attract most users and make a profit from user data, it is possible to let the system operation continued. Meanwhile, integrate the autopilot system could make the service system to become an important application of traffic service in the smart city.

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References

  1. Ali, Y., et al.: The impact of the connected environment on driving behavior and safety: a driving simulator study. Accid. Anal. Prev. 144, 105643 (2020)

    Google Scholar 

  2. Roopa, M.S., et al.: DTCMS: Dynamic traffic congestion management in social internet of vehicles (SIoV). Internet Things 100311 (2020)

    Google Scholar 

  3. Butt, T.A., et al.: Privacy management in social internet of vehicles: review, challenges and blockchain based solutions. IEEE Access 7, 79694–79713 (2019)

    Google Scholar 

  4. Zia, K., Shafi, M., Farooq, U.: Improving recommendation accuracy using social network of owners in social internet of vehicles. Future Internet 12(4), 69 (2020)

    Article  Google Scholar 

  5. Hamid, U.Z.A., Zamzuri, H., Limbu, D.K.: Internet of vehicle (IoV) applications in expediting the implementation of smart highway of autonomous vehicle: a survey. In: Al-Turjman, F. (ed.) Performability in Internet of Things. EICC, pp. 137–157. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-93557-7_9

    Chapter  Google Scholar 

  6. Hammoud, A., et al.: AI, blockchain, and vehicular edge computing for smart and secure IoV: challenges and directions. IEEE Internet Things Mag. 3(2), 68–73 (2020)

    Google Scholar 

  7. Li, Y., et al.: Fog-computing-based approximate spatial keyword queries with numeric attributes in IoV. IEEE Internet Things J. 7(5), 4304–4316 (2020)

    Google Scholar 

  8. Tao, M., Wei, W., Huang, S.: Location-based trustworthy services recommendation in cooperative-communication-enabled internet of vehicles. J. Netw. Comput. Appl. 126, 1–11 (2019)

    Article  Google Scholar 

  9. Hyland, M., Mahmassani, H.S.: Operational benefits and challenges of shared-ride automated mobility-on-demand services. Transp. Res. Part A: Policy Pract. 134, 251–270 (2020)

    Google Scholar 

  10. Gurumurthy, K.M., Kockelman, K.M., Simoni, M.D.: Benefits and costs of ride-sharing in shared automated vehicles across Austin, Texas: Opportunities for congestion pricing. Transp. Res. Rec. J. Transp. Res. Board 2673(6), 548–556 (2019)

    Article  Google Scholar 

  11. Gerte, R., Konduri, K.C., Ravishanker, N., Mondal, A., Eluru, N.: Understanding the relationships between demand for shared ride modes: case study using open data from New York City. Transp. Res. Rec. J. Transp. Res. Board 2673(12), 30–39 (2019)

    Article  Google Scholar 

  12. Rathee, G., et al.: A blockchain framework for securing connected and autonomous vehicles. Sensors 19(14), 3165 (2019)

    Google Scholar 

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Correspondence to Sheng-Ming Wang or Wei-Min Cheng .

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Wang, SM., Cheng, WM. (2021). Solve the Problem of Urban Parking Through Carpooling System and Blockchain Advertising. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2021. Lecture Notes in Computer Science(), vol 12791. Springer, Cham. https://doi.org/10.1007/978-3-030-78358-7_9

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  • DOI: https://doi.org/10.1007/978-3-030-78358-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78357-0

  • Online ISBN: 978-3-030-78358-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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