Architecting Scalable IoT Telematics Platforms for Connected Vehicles
DOI:
https://doi.org/10.15680/7dhfrv83Keywords:
Connected Vehicles, Internet of Things (IoT), Telematics, Big Data Architecture, Lambda Architecture, Scalability, Real-Time Analytics, Automotive IoTAbstract
The rapid rise of the Internet of Things (IoT) is transforming the automotive industry, positioning the vehicle as an intelligent, connected node capable of generating and transmitting high-velocity streams of telematics data. Designing platforms to ingest, process, and analyze this data at scale presents unique architectural challenges. This article proposes a modular, multi-tiered IoT telematics platform architecture capable of handling millions of connected vehicles. Drawing on distributed messaging, scalable storage, and real-time analytics, the framework balances robustness with flexibility and enables industry deployment of safety, efficiency, and customer-centric
services. Case study analyses highlight ingestion throughput exceeding 100,000 messages per second, latency reduction
to below two seconds, and resilience under fault conditions. Lessons learned demonstrate how connected vehicle telematics can progress from experimental pilots to commercially viable deployments.
References
[1] Cognizant. The New Auto Insurance Ecosystem: Telematics, Mobility and the Connected Car. Cognizant White
Paper, 2014.
[2] Apache Software Foundation. Apache Spark Documentation. Apache, 2014.
[3] Papadimitratos, P.; La Fortelle, A.; Evenssen, K.; Brignolo, R.; Cosenza, S. Challenges in Securing Vehicular
Networks. IEEE Transactions on Intelligent Transportation Systems 2008, 9, 429–450.
[4] Dignan, L. Verizon’s 2014: $585 Million in Internet of Things, Telematics Sales. ZDNet, 2015.
[5] Zeadally, S.; Hunt, R.; Chen, Y.; Irwin, A.; Hassan, A. Vehicular Ad Hoc Networks (VANETS): Status, Results,
and Challenges. Telecommunication Systems 2012, 50, 217–241.
[6] Raya, M.; Hubaux, J.P. Securing Vehicular Ad Hoc Networks. Journal of Computer Security 2007, 15, 39–68.
[7] Marz, N. Lambda Architecture. 2011. Available online: http://lambda-architecture.net (accessed on May 2015).
[8] Apache Software Foundation. Apache Hadoop Documentation. Apache, 2014.
[9] Apache Software Foundation. Apache Storm Documentation. Apache, 2014.
[10] Haughian, G. MQTT Protocol Overview. IBM DeveloperWorks, 2014.
[11] Shelby, Z.; Hartke, K.; Bormann, C. Constrained Application Protocol (CoAP), RFC 7252. IETF, 2014.
[12] Shahrokni, A.; Feldt, R.; Petterson, F.; Bendix, A. Robustness Verification Challenges in Automotive Telematics
Software. International Conference on Software Testing, Verification and Validation, Denver, CO, USA, 1–4 April
2009; pp. 111–118.
[13] Kumar, N.; Chilamkurti, N. Vehicular Ad-Hoc Networks (VANETs): An Overview and Challenges. Journal of
Wireless Personal Communications 2014, 77, 895–922.
[14] Cloudera. HBase in Production. Cloudera White Paper, 2014.
[15] DataStax. Apache Cassandra Documentation. DataStax, 2014.
[16] Autofacets. AI and Big Data for Powering Predictive Maintenance and Reduced Vehicle Recalls. Autofacets
Report, 2014.
