Automated classification based on video data at intersections with heavy pedestrian and bicycle traffic: Methodology and application

Big data analytics in supply chain management: A state-of-the-art literature review

“…This type of BDA model also plays a key role in logistics/transportation (Li et al, 2014;Yu and AbdelAty, 2014;Zangenehpour et al, 2015) and procurement research (Ling Ho and Wen Shih, 2014;Mori et al, 2012) but apparently, current studies in those areas have not fully exploited the advantages of classification.…”

“…Product R&D Bae and Kim, 2011;Do, 2014;Lei and Moon, 2015;Opresnik and Taisch, 2015;Zhang et al, 2017 Production planning & control Chien et al, 2014;Krumeich et al, 2016;Zhang et al, 2017;Shu et al, 2016;Dai et al, 2012;Zhong et al, 2016;Helo and Hao, 2017 Quality management Krumeich et al, 2016;Zhang et al, 2017; Maintenance & diagnosis Shu et al, 2016;Guo et al, 2016;Kumar et al, 2016;Zhang et al, 2017;Wang et al, 2015 Warehousing Storage assignment Chuang et al, 2014;Li, Moghaddam, et al, 2016;Tsai and Huang, 2015;Chiang et al, 2011;Chiang et al, 2014 Order picking Ballestín et al, 2013;Chuang et al, 2014; Inventory control Alyahya et al, 2016;Hofmann, 2015;Huang and Van Mieghem, 2014;Lee et al, 2016;Stefanovic, 2015 Logistics and transportation Cui et al, 2016;Li et al, 2015;Shi and Abdel-Aty, 2015;StAubin et al, 2015;Toole et al, 2015;Xia et al, 2016;Yu and Abdel-Aty, 2014;Zangenehpour et al, 2015;…”

Perancangan dan Implementasi Sistem Monitoring Beban dan Kecepatan Kendaraan Menggunakan Teknologi Weigh in Motion

“…Pengembangan manajemen lalu lintas diterapkan dengan pengolahan citra menggunakan kamera dalam mengidentifikasi kepadatan lalu lintas, pengaturan lampu lalu lintas yang diproses secara offline maupun real time [3,4]. Manajemen lalu lintas tidak hanya menggunakan kamera sebagai media untuk melakukan pengontrolan dan monitoring kendaraan, saat ini telah dikembangkan sistem berbasis Weigh In Motion (WIM) untuk menghitung beban kendaraan pada saat berjalan.…”

Detecting Road Users at Intersections Through Changing Weather Using RGB-Thermal Video

“…In the past decade, researchers have explored the more complex task of monitoring vehicles at urban areas which includes monitoring of intersections [9], [5] and pedestrians and two-wheelers such as mopeds and cyclists [10], [11], [12]. Monitoring urban traffic is challenging due to the density of the traffic, variable types of road users, and lower camera orientations which aggravates occlusion.…”

“…Tracked features are grouped over time according to the spatial distance of the tracks. The work of Saunier and Sayed has been used in [20] to predict collision amongst vehicles in intersections and extended in [12] to include the classification of road users, including pedestrians and bicycles.…”