2016
DOI: 10.1016/j.procs.2016.04.208
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Co-operative ITS: ESD a Smartphone Based System for Sustainability and Transportation Safety

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Cited by 16 publications
(6 citation statements)
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“…Optimizing driving performance by addressing personalized aspects of driving behavior and without posing unrealistic restrictions on personal mobility may have far reaching implications to traffic safety, flow operations and the environment, as well as significant benefits for users. The above is supported by various research attempts, including Machine Learning methods for driving style identification [26,43,57] and even more advanced Deep Learning and Reinforcement Learning implementation controlling and improving driving style, using data collected through smartphones [58]. Therefore, observing, studying and modeling eco-driving is not just a theoretical research topic, but should be applied and exploited in real-world applications.…”
Section: Managing Driving Behavior and Eco-routingmentioning
confidence: 99%
“…Optimizing driving performance by addressing personalized aspects of driving behavior and without posing unrealistic restrictions on personal mobility may have far reaching implications to traffic safety, flow operations and the environment, as well as significant benefits for users. The above is supported by various research attempts, including Machine Learning methods for driving style identification [26,43,57] and even more advanced Deep Learning and Reinforcement Learning implementation controlling and improving driving style, using data collected through smartphones [58]. Therefore, observing, studying and modeling eco-driving is not just a theoretical research topic, but should be applied and exploited in real-world applications.…”
Section: Managing Driving Behavior and Eco-routingmentioning
confidence: 99%
“…It has to be mentioned that the majority of the authors tried to tackle non-line-of-sight and blind spots, where the driver's view is limited due to buildings, vehicles and other obstacles. The majority of research was carried out in 2014 [14,[19][20][21], in 2016 [1,[22][23][24][25][26] and in 2017 [27][28][29]. Moreover, most of the V2P developments used several sensors data fusion techniques [1,19,21,22,24,26,27,30], while some of them [20,31] discussed methods to predict VRU next move/short path and some others presented collision avoidance systems [23,26,32].…”
Section: Vehicle To Pedestrians (V2p) Systems-developmentsmentioning
confidence: 99%
“…However, the decline in Vulnerable Road Users' (VRU) accidents is much less recorded, with bicycle and pedestrian casualties remaining relatively constant. This research predicted that the number of bicycle accidents was expected to increase while, by 2030, the number of VRU accidents will be almost comparable to those of car accidents since there is a significant decreasing rate of those accidents [1]. Due to the fact that the number of fatalities remains high and despite the recent advances in traffic safety, the United Nations have set as one of the first priorities to halve the number of deaths and injuries from road traffic accidents by 2020 [2] while the European Commission aims at reducing the number of fatalities in road transport to nearly zero by 2050.…”
Section: Introductionmentioning
confidence: 99%
“…However, the decline in VRUs accidents is much less recorded, with bicycle and pedestrian casualties remaining relatively constant. This research predicted that the number of bicycle accidents were expected to increase, while by 2030 the number of VRUs accidents will be almost comparable to those of car accidents, since there is a significant decreasing rate of those accidents [1]. Due to the fact that the number of fatalities remains high and despite the recent advances in traffic safety, the United Nations have set as one of the first priorities, to halve the number of deaths and injuries from road traffic accidents by 2020 [2], while the European Commission aims at reducing the number of fatalities in road transport to nearly zero by 2050.…”
Section: Introductionmentioning
confidence: 99%