%0 Journal Article %1 noauthororeditor %A Behadili, Suhad Faisal %D 2016 %J Human Mobility Patterns Modelling using CDRs %K CDRs Displacements Distribution Inter-event Modelling Power-law time %N 01 %P 13-19 %R 10.5121/iju.2016.7102 %T Human Mobility Patterns Modelling using CDRs %U http://aircconline.com/iju/V7N1/7116iju02.pdf %V 07 %X The research objectives are exploring characteristics of human mobility patterns, subsequently modelling them mathematically depending on inter-event time ∆t and traveled distances ∆rparameters using CDRs (Call Detailed Records). The observations are obtained from Armada festival in France. Understanding, modelling and simulating human mobility among urban regions is excitement approach, due to itsimportance in rescue situations for various events either indoor events like evacuation of buildings or outdoor ones like public assemblies,community evacuation in casesemerged during emergency situations, moreover serves urban planning and smart cities. The results of numerical simulation are consistent withpreviousinvestigations findings in that real systems patterns are almost follow an exponential distribution.Further experimentations could classify mobility patterns into major classes (work or off) days, also radius of gyration could be considered as influential parameter in modelling human mobility, additionally city rhythm could be extracted by modelling mobility speed of individuals

@article{noauthororeditor, abstract = {The research objectives are exploring characteristics of human mobility patterns, subsequently modelling them mathematically depending on inter-event time ∆t and traveled distances ∆rparameters using CDRs (Call Detailed Records). The observations are obtained from Armada festival in France. Understanding, modelling and simulating human mobility among urban regions is excitement approach, due to itsimportance in rescue situations for various events either indoor events like evacuation of buildings or outdoor ones like public assemblies,community evacuation in casesemerged during emergency situations, moreover serves urban planning and smart cities. The results of numerical simulation are consistent withpreviousinvestigations findings in that real systems patterns are almost follow an exponential distribution.Further experimentations could classify mobility patterns into major classes (work or off) days, also radius of gyration could be considered as influential parameter in modelling human mobility, additionally city rhythm could be extracted by modelling mobility speed of individuals}, added-at = {2018-02-27T12:06:02.000+0100}, author = {Behadili, Suhad Faisal}, biburl = {https://www.bibsonomy.org/bibtex/2f1c1fb361051c7629b005eb08dfb5fa4/sebastian09}, doi = {10.5121/iju.2016.7102}, interhash = {42e75dbbaf237fba54e0a35f6220e26c}, intrahash = {f1c1fb361051c7629b005eb08dfb5fa4}, issn = {2349-221X}, journal = {Human Mobility Patterns Modelling using CDRs}, keywords = {CDRs Displacements Distribution Inter-event Modelling Power-law time}, language = {english}, month = {january}, number = 01, pages = {13-19}, timestamp = {2018-02-27T12:06:02.000+0100}, title = {Human Mobility Patterns Modelling using CDRs}, url = {http://aircconline.com/iju/V7N1/7116iju02.pdf}, volume = 07, year = 2016 }