nach oben

Erschienen in:

2023 | OriginalPaper | Buchkapitel

IoT and Machine Learning for Traffic Monitoring, Headlight Automation, and Self-parking: Application of AI in Transportation

verfasst von : Anurag Sinha, Abhishek Singh, Prince Shubham, Vivek Raj, Md. Ramish

Erschienen in: Recent Trends in Product Design and Intelligent Manufacturing Systems

Verlag: Springer Nature Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Artificial intelligence is one of the technologies which are being applied in various domains. In transportation, managing the vehicles pass way parking and highway traffic is one of the challenging task. Maximum of the road accidents happen due to the high-beam trails on the highway and reflection gage. In this paper, we have studied the total accidents occurred during past years due to this same issue and proposed a conceptual solution of headlight beam reduction using automation of headlight system. We have also focused on the other emerging source of AI in transportation and briefly stated their application area. Overall, this paper is approach of proposing significant application area of AI and IoT in transportation.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Predictive and Behavioral Analytics for Big Data Architecture

Nächstes Kapitel Speckle Image-Based Surface Roughness Parameter Characterization of Milled Surfaces

Amato, G., Carrara, F., Falchi, F., Gennaro, C., Meghini, C., Vairo, C.: Deep learning for decentralized parking lot occupancy detection. Expert Syst. Appl. 72, 327–334 (2017). https://doi.org/10.1016/j.eswa.2016.10.055CrossRef

Aqib, M., Mehmood, R., Albeshri, A., Alzahrani, A.: Disaster management in smart cities by forecasting traffic plan using deep learning and GPUs. In: Mehmood R, Bhaduri B, Katib I, Chlamtac I (eds.) Smart Societies, Infrastructure, Technologies and Applications, vol. 224, pp. 139–154. Springer, Berlin. https://doi.org/10.1007/978-3-319-94180-6_15

Arifuzzaman, M., Aniq Gul, M., Khan, K., Hossain, S.M.Z.: Application of artificial intelligence (AI) for sustainable highway and road system. Symmetry 13(1), 60 (2020). https://doi.org/10.3390/sym13010060

Fang, Y.-C., Tzeng, Y.-F., Wen, C.-C., Chen, C.-H., Lee, H.-Y., Chang, S.-H., Su, Y.-L.: a study of high-efficiency laser headlight design using gradient-index lens and liquid lens. Appl. Sci. 10(20), 7331 (2020). https://doi.org/10.3390/app10207331CrossRef

Bae, J.J., Suda, T.: Survey of traffic control schemes and protocols in ATM networks. Proc. IEEE 79(2), 170–189 (1991). https://doi.org/10.1109/5.64405CrossRef

Bhattarai, D., Aguilar, L., Park, C., Kim, C.: A review on properties of natural and synthetic based electrospun fibrous materials for bone tissue engineering. Membranes 8(3), 62 (2018). https://doi.org/10.3390/membranes8030062CrossRef

Hu, Y., Gao, S., Lunga, D., Li, W., Newsam, S., Bhaduri, B.: GeoAI at ACM SIGSPATIAL: Progress, challenges, and future directions. SIGSPATIAL Special 11(2), 5–15 (2019). https://doi.org/10.1145/3377000.3377002CrossRef

Kim, H., Kwon, S., Kim, S.: Hyperspectral image-based night-time vehicle light detection using spectral normalization and distance mapper for intelligent headlight control. Sensors 16(7), 1058 (2016). https://doi.org/10.3390/s16071058CrossRef

Liao, Q., Zhu, M., Wu, L., Pan, X., Tang, X., Wang, Z.: Deep learning for air quality forecasts: a review. Current Pollution Reports 6(4), 399–409 (2020). https://doi.org/10.1007/s40726-020-00159-zCrossRef

10.

Mumtaz, Z., Ullah, S., Ilyas, Z., Aslam, N., Iqbal, S., Liu, S., Meo, J., Madni, H.: An automation system for controlling streetlights and monitoring objects using Arduino. Sensors 18(10), 3178 (2018). https://doi.org/10.3390/s18103178CrossRef

11.

Karpenko, A., Kinnunen, T., Madhikermi, M., Robert, J., Främling, K., Dave, B., Nurminen, A.: Data exchange interoperability in IoT ecosystem for smart parking and EV charging. Sensors 18(12), 4404 (2018). https://doi.org/10.3390/s18124404CrossRef

12.

Kuyer, L., Whiteson, S., Bakker, B., Vlassis, N.: Multiagent reinforcement learning for urban traffic control using coordination graphs. In W. Daelemans, B. Goethals, K. Morik (eds.) Machine Learning and Knowledge Discovery in Databases, vol. 5211, pp. 656–671. Springer, Berlin (2008). https://doi.org/10.1007/978-3-540-87479-9_61

13.

Park, K., Shin, C., Song, Y.-S., Lee, H.-J., Shin, C., Kim, Y.: Recyclable and mendable cellulose-reinforced composites crosslinked with Diels-Alder adducts. Polymers 11(1), 117 (2019). https://doi.org/10.3390/polym11010117CrossRef

14.

Lu, X., Ai, Y., Tian, B.: Real-time mine road boundary detection and tracking for autonomous truck. Sensors 20(4), 1121 (2020). https://doi.org/10.3390/s20041121CrossRef

15.

Pham, T.-A., Yoo, M.: Nighttime vehicle detection and tracking with occlusion handling by pairing headlights and taillights. Appl. Sci. 10(11), 3986 (2020). https://doi.org/10.3390/app10113986CrossRef

16.

Qin, Z. (Tony), Tang, J., Ye, J.: Deep reinforcement learning with applications in transportation. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 3201–3202 (2019). https://doi.org/10.1145/3292500.3332299

Titel: IoT and Machine Learning for Traffic Monitoring, Headlight Automation, and Self-parking: Application of AI in Transportation
verfasst von: Anurag Sinha
Abhishek Singh
Prince Shubham
Vivek Raj
Md. Ramish
Verlag: Springer Nature Singapore
Buch: Recent Trends in Product Design and Intelligent Manufacturing Systems
Print ISBN: 978-981-19-4605-9

Electronic ISBN: 978-981-19-4606-6

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-19-4606-6_56

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht