2018 11th International Symposium on Communication Systems, Networks &Amp; Digital Signal Processing (CSNDSP) 2018
DOI: 10.1109/csndsp.2018.8471807
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On the Design and Deployment of Multitier Heterogeneous and Adaptive Vehicular Networks

Abstract: Research on connected and autonomous vehicles (CAVs) is moving towards first deployments around the world. For complete vehicle autonomy, on top of sensors there is a need for an effective communication system. Due to the critical safety, transmission requirements for these communications are stringent. In an urban environment, with high density of vehicles, standardized dedicated short range communications (DSRC) solely does not perform well. Avoiding costs for new DSRC infrastructure, heterogeneous networks … Show more

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Cited by 6 publications
(1 citation statement)
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“…Predicting and managing major transport hubs' capacity in both businesses as usual (BAU) and exceptional circumstances, e.g., rush hour, travel disruption, and planned events by using Machine Learning (ML), is one of the challenging aspects for Transport Hub Crowd Management (THCM). Inspired by fixed monitoring systems, THCM could employ fixed sensors (Asad et al, 2020a;Ansari et al, 2018) or 5G mobile networks (Li et al, 2017) to cope with the limitations it currently faces. This is stressed out by the exponential spread of uncertainties enabled by a high passenger density and frequent footprint in transport hubs.…”
Section: Transport Hub Crowd Managementmentioning
confidence: 99%
“…Predicting and managing major transport hubs' capacity in both businesses as usual (BAU) and exceptional circumstances, e.g., rush hour, travel disruption, and planned events by using Machine Learning (ML), is one of the challenging aspects for Transport Hub Crowd Management (THCM). Inspired by fixed monitoring systems, THCM could employ fixed sensors (Asad et al, 2020a;Ansari et al, 2018) or 5G mobile networks (Li et al, 2017) to cope with the limitations it currently faces. This is stressed out by the exponential spread of uncertainties enabled by a high passenger density and frequent footprint in transport hubs.…”
Section: Transport Hub Crowd Managementmentioning
confidence: 99%