Open Access Open Access  Restricted Access Subscription or Fee Access

Future Connected Cars Through the Evolution of Telematics and Infotainment

(*) Corresponding author

Authors' affiliations



The world of cars is evolving rapidly, and this evolution is increasingly leading vehicles to be intelligent and interconnected. This paper aims to provide a valuable overview of cars' connectivity concerning trends and technologies. The future automotive market's challenges are now focused on this trend involving large economic investments. This article introduces the primary background concerning problems that the automotive industry must resolve to react satisfactorily to consumers' mobility demands regarding efficient services, comfort, and safety. The widespread employment of digitization in the automotive area will allow a leap forward in creating sustainable and intelligent mobility services. Greater accessibility, small and powerful computers, and the exploitation of wireless networks and cloud services will be required. More in detail, this paper presents a thorough discussion of the leading technologies useful for evolving connected cars. This growth will allow the mixture of computer and network technologies with the Internet of Things (IoT), thus offering communication capabilities at any time, from any place, with anything. This paper also aims to identify salient features of this progress, starting from the onboard diffusion of telematic components and linked to the spread of infotainment, up to some applications, such as car-sharing and smart ticketing. Finally, the main characteristics of connected cars and self-driving cars are examined, trying to trace the future development prospects for these vehicles.
Copyright © 2021 Praise Worthy Prize - All rights reserved.


Connected Cars; Telematics; Infotainment; Autonomous Vehicles

Full Text:



Kruger, C.P., Hancke, G.P. Implementing the Internet of Things vision in industrial wireless sensor networks, 12th IEEE International Conference on Industrial Informatics, INDIN 2014. doi:

Morio, V., Cazaurang, F., Zolghadri, A., Vernis, P., Onboard Path Planning for Reusable Launch Vehicles Application to the Shuttle Orbiter Reentry Mission, (2019) International Journal on Engineering Applications (IREA), 7 (3), pp. 106-116.

Song, F., Ai, Z., Zhou, Y., You, I., Choo, K.-K.R., Zhang, H. Smart collaborative automation for receive buffer control in multipath industrial networks, IEEE Transactions on Industrial Informatics, 16 (2), art. no. 8884746, pp. 1385-1394, 2020.

Konkyana, V., Sudhakar, A., Design and Analysis of Dual Notch Band Ultra-Wide Band Antenna Using Complementary Split Ring Resonator for Wireless Applications, (2019) International Journal on Engineering Applications (IREA), 7 (3), pp. 72-80.

Novakazi, F., Orlovska, J., Bligård, L.-O., Wickman, C. Stepping over the threshold linking understanding and usage of Automated Driver Assistance Systems (ADAS), Transportation Research Interdisciplinary Perspectives, 8, 2020.

Oviedo-Trespalacios, O., Vaezipour, A., Truelove, V., Kaye, S.-A., King, M. “They would call me, and I would need to know because it is like life and death”: A qualitative examination of the acceptability of smartphone applications designed to reduce mobile phone use while driving, Transportation Research Part F: Traffic Psychology and Behaviour, 73, pp. 499-513, 2020.

Ullah, N., Kong, X., Ning, Z., Tolba, A., Alrashoud, M., Xia, F. Emergency warning messages dissemination in vehicular social networks: A trust based scheme, Vehicular Communications, 22, 2020.

Katapally, T.R., Bhawra, J., Patel, P. A systematic review of the evolution of GPS use in active living research: A state of the evidence for research, policy, and practice, Health and Place, 66, 2020.

Sun, L., Jafaripournimchahi, A., Hu, W. A forward-looking anticipative viscous high-order continuum model considering two leading vehicles for traffic flow through wireless V2X communication in autonomous and connected vehicle environment, Physica A: Statistical Mechanics and its Applications, 556, 2020.

Navas, F., Milanés, V. Mixing V2V- and non-V2V-equipped vehicles in car following, Transportation Research Part C: Emerging Technologies, 108, pp. 167-181, 2019.

Ta, V.-T., Dvir, A. A secure road traffic congestion detection and notification concept based on V2I communications, Vehicular Communications, 25, 2020.

Aguilar-Dominguez, D., Dunbar, A., Brown, S. The electricity demand of an EV providing power via vehicle-to-home and its potential impact on the grid with different electricity price tariffs, Energy Reports, 6, pp. 132-141, 2020.

Dibaei, M., Zheng, X., Jiang, K., Abbas, R., Liu, S., Zhang, Y., Xiang, Y., Yu, S. Attacks and defences on intelligent connected vehicles: a survey, Digital Communications and Networks, 2020. doi:

Reddy, R.G., Ramanathan, R. An Empirical study on MAC layer in IEEE 802.11p/WAVE based Vehicular Ad hoc networks, Procedia Computer Science, 143, pp. 720-727, 2018.

Arena, F., Pau, G., Severino, A. V2X communications applied to safety of pedestrians and vehicles, Journal of Sensor and Actuator Networks, 9 (1), art. no. 3, 2020.

Arena, F., Pau, G., Severino, A. A review on IEEE 802.11p for intelligent transportation systems, Journal of Sensor and Actuator Networks, 9 (2), art. no. 22, 2020.

Luo, C., Li, W., Fan, X., Yang, H., Ni, J., Zhang, X., Xin, G., Shi, P. Positioning technology of mobile vehicle using self-repairing heterogeneous sensor networks, Journal of Network and Computer Applications, 93, pp. 110-122, 2017.

AlZubi, A.A., Alarifi, A., Al-Maitah, M., Alheyasat, O. Multi-sensor information fusion for Internet of Things assisted automated guided vehicles in smart city, Sustainable Cities and Society, 64, art. no. 102539, 2021.

Zhou, F., Zheng, Z., Whitehead, J., Perrons, R.K., Washington, S., Page, L. Examining the impact of car-sharing on private vehicle ownership, Transportation Research Part A: Policy and Practice, 138, pp. 322-341, 2020.

Dijksterhuis, C., Lewis-Evans, B., Jelijs, B., De Waard, D., Brookhuis, K., Tucha, O. The impact of immediate or delayed feedback on driving behaviour in a simulated Pay-As-You-Drive system, Accident Analysis and Prevention, 75, pp. 93-104, 2015.

Pütz, F., Murphy, F., Mullins, M., O'Malley, L. Connected automated vehicles and insurance: Analysing future market-structure from a business ecosystem perspective, Technology in Society, 59, art. no. 101182, 2019.

Song, F., Zhu, M., Zhou, Y., You, I., Zhang, H. Smart Collaborative Tracking for Ubiquitous Power IoT in Edge-Cloud Interplay Domain, IEEE Internet of Things Journal, 7 (7), art. no. 8933514, pp. 6046-6055, 2020.

Turner, M., Wilson, R. Smart and integrated ticketing in the UK: Piecing together the jigsaw, Computer Law and Security Review, 26 (2), pp. 170-177, 2020.

Das, S.K., Hossain, M.F. A location-aware power control mechanism for interference mitigation in M2M communications over cellular networks, Computers and Electrical Engineering, 88, 2020.

Morsalin, S., Haque, A., Mahmud, A. Machine to machine performance evaluation of grid-integrated electric vehicles by using various scheduling algorithms, eTransportation, 3, 2020.

Verma, P.K., Verma, R., Prakash, A., Agrawal, A., Naik, K., Tripathi, R., Alsabaan, M., Khalifa, T., Abdelkader, T., Abogharaf, A. Machine-to-Machine (M2M) communications: A survey, Journal of Network and Computer Applications, 66, pp. 83-105, 2016.

Kim, J., Kim, S., Nam, C. User resistance to acceptance of In-Vehicle Infotainment (IVI) systems, Telecommunications Policy, 40 (9), pp. 919-930, 2016.

Cheah, M., Shaikh, S.A., Haas, O., Ruddle, A. Towards a systematic security evaluation of the automotive Bluetooth interface, Vehicular Communications, 9, pp. 8-18, 2017.

Pelliccione, P., Knauss, E., Ågren, S.M., Heldal, R., Bergenhem, C., Vinel, A., Brunnegård, O. Beyond connected cars: A systems of systems perspective, Science of Computer Programming, 191, 2020.

Ali, Y., Sharma, A., Haque, M.M., Zheng, Z., Saifuzzaman, M. The impact of the connected environment on driving behavior and safety: A driving simulator study, Accident Analysis and Prevention, 144, 2020.

Paddeu, D., Shergold, I., Parkhurst, G. The social perspective on policy towards local shared autonomous vehicle services (LSAVS), Transport Policy, 98, pp. 116-126, 2020.

Guanetti, J., Kim, Y., Borrelli, F. Control of connected and automated vehicles: State of the art and future challenges, Annual Reviews in Control, 45, pp. 18-40, 2018.

Song, F., Zhou, Y.-T., Wang, Y., Zhao, T.-M., You, I., Zhang, H.-K. Smart collaborative distribution for privacy enhancement in moving target defense, Information Sciences, 479, pp. 593-606, 2019.

Ma, J., Hou, Y., Yang, W., Tian, Y. A time-based pricing game in a competitive vehicle market regarding the intervention of carbon emission reduction, Energy Policy, 142, 2020.

Sun, X., Cao, S., Tang, P. Shaping driver-vehicle interaction in autonomous vehicles: How the new in-vehicle systems match the human needs, Applied Ergonomics, 90, 2021.

Lidbe, A., Penmetsa, P., Wang, T., Kofi Adanu, E., Nambisan, S. Do NHTSA vehicle safety ratings affect side impact crash outcomes?, Journal of Safety Research, 73, pp. 1-7, 2020.

Arena, F., Ticali, D. The development of autonomous driving vehicles in tomorrow's smart cities mobility, AIP Conference Proceedings, 2040, 2018.

Daghouj, D., Fattah, M., Mazer, S., Balboul, Y., El Bekkali, M., UWB Waveform for Automotive Short Range Radar, (2020) International Journal on Engineering Applications (IREA), 8 (4), pp. 158-164.

Badue, C., Guidolini, R., Carneiro, R.V., Azevedo, P., Cardoso, V.B., Forechi, A., Jesus, L., Berriel, R., Paixão, T.M., Mutz, F., de Paula Veronese, L., Oliveira-Santos, T., De Souza, A.F. Self-driving cars: A survey, Expert Systems with Applications, 165, 2021.

Joo, H., Ahmed, S.H., Lim, Y. Traffic signal control for smart cities using reinforcement learning, Computer Communications, 154, pp. 324-330, 2020.

Arena, F., Pau, G., Severino, A. An Overview on the Current Status and Future Perspectives of Smart Cars, Infrastructures, 5 (7), 2020.

Feng, S., Feng, Y., Yan, X., Shen, S., Xu, S., Liu, H.X. Safety assessment of highly automated driving systems in test tracks: A new framework, Accident Analysis and Prevention, 144, 2020.

Yao, F., Zhu, J., Yu, J., Chen, C., Chen, X.M. Hybrid operations of human driving vehicles and automated vehicles with data-driven agent-based simulation, Transportation Research Part D: Transport and Environment, 86, 2020.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize