Car-to-Pedestrian communication with MEC-support for adaptive safety of Vulnerable Road Users

Anaya, 2014, Vehicle to pedestrian communications for protection of vulnerable road users, 1037 Heinovski, 2019, Modeling cycling behavior to improve bicyclists’ safety at intersections – a networking perspective Bachmann, 2017, Improving smartphone based collision avoidance by using pedestrian context information, 2 Sewalkar, 2019, Vehicle-to-pedestrian communication for vulnerable road users: Survey, design considerations, and challenges, Sensors, 19, 358, 10.3390/s19020358 David, 2010, CAR-2-X And pedestrian safety, IEEE Veh. Technol. Mag., 5, 70, 10.1109/MVT.2009.935536 Wu, 2014, Cars talk to phones: A DSRC based vehicle-pedestrian safety system Choi, 2014, A case for leveraging 802.11p for direct phone-to-phone communications, 207 Tung, 2013, A cluster based architecture for intersection collision avoidance using heterogeneous networks Xu, 2017, DSRC Versus 4G-LTE for connected vehicle applications: A study on field experiments of vehicular communication performance, J. Adv. Transp., 2017, 1 Molina-Masegosa, 2017, LTE-V For sidelink 5G V2X vehicular communications: A new 5G technology for short-range vehicle-to-everything communications, IEEE Veh. Technol. Mag., 12, 30, 10.1109/MVT.2017.2752798 Chen, 2017, Vehicle-to-everything (V2X) services supported by LTE-based systems and 5G, IEEE Commun. Stand. Mag., 1, 70, 10.1109/MCOMSTD.2017.1700015 2017 Araniti, 2013, LTE For vehicular networking: A survey, IEEE Commun. Mag., 51, 148, 10.1109/MCOM.2013.6515060 Mach, 2017, Mobile edge computing: A survey on architecture and computation offloading, IEEE Commun. Surv. Tutor., 19, 1628, 10.1109/COMST.2017.2682318 Nguyen, 2019, Adaptive safety context information for vulnerable road users with MEC support, 28 Tang, 2015, Transmission control for reliable pedestrian-to-vehicle communication by using context of pedestrians, 41 Rostami, 2016, Performance and channel load evaluation for contextual pedestrian-to-vehicle transmissions, 22 Bagheri, 2016, Cloud-based pedestrian road-safety with situation-adaptive energy-efficient communication, IEEE Intell. Transp. Syst. Mag., 8, 45, 10.1109/MITS.2016.2573338 Loewen, 2017, Backwards compatible extension of CAMs/DENMs for improved bike safety on the road, 43 Jahn, 2015, 5G / LTE based protection of vulnerable road users: Detection of crossing a curb, 1 Jain, 2014, On the limits of positioning-based pedestrian risk awareness, 23 Shoaib, 2015, A survey of online activity recognition using mobile phones, Sensors, 15, 2059, 10.3390/s150102059 Ronao, 2016, Human activity recognition with smartphone sensors using deep learning neural networks, Expert Syst. Appl., 59, 235, 10.1016/j.eswa.2016.04.032 Sugimoto, 2008, Development of pedestrian-to-vehicle communication system prototype for pedestrian safety using both wide-area and direct communication, 64 Dhondge, 2014, WiFiHonk: Smartphone-Based beacon stuffed WiFi Car2X-communication system for vulnerable road user safety, 1 Malinverno, 2018, Performance analysis of C-V2I-based automotive collision avoidance, 1 Cecchini, 2017, Performance comparison between IEEE 802.11p and LTE-V2V in-coverage and out-of-coverage for cooperative awareness, 109 Datta, 2014, Towards city-scale smartphone sensing of potentially unsafe pedestrian movements, 663 Bieshaar, 2017, Cooperative starting intention detection of cyclists based on smart devices and infrastructure, 1 Tahmasbi-Sarvestani, 2017, Implementation and evaluation of a cooperative vehicle-to-pedestrian safety application, IEEE Intell. Transp. Syst. Mag., 9, 62, 10.1109/MITS.2017.2743201 Zadeh, 2018, Three-phases smartphone-based warning system to protect vulnerable road users under fuzzy conditions, IEEE Trans. Intell. Transp. Syst., 19, 2086, 10.1109/TITS.2017.2743709 de Campos, 2014, Collision avoidance at intersections: A probabilistic threat-assessment and decision-making system for safety interventions, 649 Wu, 2015, Early car collision prediction in VANET, 94 Bhattacharya, 2017, A survey of adaptation techniques in computation offloading, J. Netw. Comput. Appl., 78, 97, 10.1016/j.jnca.2016.10.023 Segata, 2014, Towards energy efficient smart phone applications: Energy models for offloading tasks into the cloud, 2394 Nguyen, 2016, Energy consumption measurements as a basis for computational offloading for android smartphones Hagenauer, 2017, Vehicular micro clouds as virtual edge servers for efficient data collection, 31 Hagenauer, 2019, Efficient data handling in vehicular micro clouds, Elsevier Ad Hoc Netw., 91, 101871, 10.1016/j.adhoc.2019.101871 Bieber, 2009, Activity recognition for everyday life on mobile phones, 289 Hoseini-Tabatabaei, 2013, A survey on smartphone-based systems for opportunistic user context recognition, ACM Comput. Surv., 45, 27, 10.1145/2480741.2480744 Lu, 2016, Mobile online activity recognition system based on smartphone sensors, 357 Quinlan, 1993 Cohen, 1995, Fast effective rule induction, 115 Schölkopf, 1999 Friedman, 1997, Bayesian network classifiers, Mach. Learn., 29, 131, 10.1023/A:1007465528199 Breiman, 2001, Random forests, Mach. Learn., 45, 5, 10.1023/A:1010933404324 Hagenauer, 2014, A simulator for heterogeneous vehicular networks, 185 Sommer, 2011, Bidirectionally coupled network and road traffic simulation for improved IVC analysis, IEEE Trans. Mob. Comput., 10, 3, 10.1109/TMC.2010.133