%0 Journal Article %1 nguyen2020cartopedestrian %A Nguyen, Quang-Huy %A Morold, Michel %A David, Klaus %A Dressler, Falko %D 2020 %J Computer Communications %K comtec itegpub %P 83 - 93 %R https://doi.org/10.1016/j.comcom.2019.10.033 %T Car-to-Pedestrian communication with MEC-support for adaptive safety of Vulnerable Road Users %U http://www.sciencedirect.com/science/article/pii/S0140366419304360 %V 150 %X Car-to-Pedestrian (Car2P) communication has a huge potential for preventing potential accidents between pedestrians and vehicles by exchanging context information. Similar communication principles have been explored for Car-to-Car (C2C) communication since quite a while and are now being deployed as an additional safety mechanism. Unfortunately, Vulnerable Road Users (VRUs) such as pedestrians and bicyclists are not yet covered by these systems. Looking at pedestrians, we explore possibilities for the exchange of relevant safety mechanisms between pedestrians and cars making use of readily available communication capabilities of current LTE networks. Necessary activity and collision detection algorithms have to be run on the users’ smartphones in order to determine the criticality of the situation. In order to improve both the overall system latency and the energy efficiency of the smartphone applications, we suggest the use of Multi-access Edge Computing (MEC). We implemented the system to perform measurements on the smartphone side as well as extensive simulations on the networking side. Our results clearly show the advantages of our concept and the integrated MEC approach.

@article{nguyen2020cartopedestrian, abstract = {Car-to-Pedestrian (Car2P) communication has a huge potential for preventing potential accidents between pedestrians and vehicles by exchanging context information. Similar communication principles have been explored for Car-to-Car (C2C) communication since quite a while and are now being deployed as an additional safety mechanism. Unfortunately, Vulnerable Road Users (VRUs) such as pedestrians and bicyclists are not yet covered by these systems. Looking at pedestrians, we explore possibilities for the exchange of relevant safety mechanisms between pedestrians and cars making use of readily available communication capabilities of current LTE networks. Necessary activity and collision detection algorithms have to be run on the users’ smartphones in order to determine the criticality of the situation. In order to improve both the overall system latency and the energy efficiency of the smartphone applications, we suggest the use of Multi-access Edge Computing (MEC). We implemented the system to perform measurements on the smartphone side as well as extensive simulations on the networking side. Our results clearly show the advantages of our concept and the integrated MEC approach.}, added-at = {2019-12-19T11:33:29.000+0100}, author = {Nguyen, Quang-Huy and Morold, Michel and David, Klaus and Dressler, Falko}, biburl = {https://www.bibsonomy.org/bibtex/2954c7f6a8048efb3976c6c5d7157bc80/comtec_pub}, description = {Car-to-Pedestrian communication with MEC-support for adaptive safety of Vulnerable Road Users - ScienceDirect}, doi = {https://doi.org/10.1016/j.comcom.2019.10.033}, interhash = {e49a95d4390180b4c83cc94650cfad55}, intrahash = {954c7f6a8048efb3976c6c5d7157bc80}, issn = {0140-3664}, journal = {Computer Communications}, keywords = {comtec itegpub}, month = {January}, pages = {83 - 93}, timestamp = {2019-12-19T11:33:29.000+0100}, title = {Car-to-Pedestrian communication with MEC-support for adaptive safety of Vulnerable Road Users}, url = {http://www.sciencedirect.com/science/article/pii/S0140366419304360}, volume = 150, year = 2020 }