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dc.contributor.authorLan, LWen_US
dc.contributor.authorChang, CWen_US
dc.date.accessioned2019-04-03T06:42:53Z-
dc.date.available2019-04-03T06:42:53Z-
dc.date.issued2005-09-01en_US
dc.identifier.issn0197-6729en_US
dc.identifier.urihttp://dx.doi.org/10.1002/atr.5670390307en_US
dc.identifier.urihttp://hdl.handle.net/11536/13318-
dc.description.abstractThis paper develops inhomogeneous cellular automata models to elucidate the interacting movements of cars and motorcycles in mixed traffic contexts. The car and motorcycle are represented by non-identical particle sizes that respectively occupy 6x2 and 2x1 cell units, each of which is 1.25x1.25 meters. Based on the field survey, we establish deterministic cellular automata (CA) rules to govern the particle movements in a two-dimensional space. The instantaneous positions and speeds for all particles are updated in parallel per second accordingly. The deterministic CA models have been validated by another set of field observed data. To account for the deviations of particles' maximum speeds, we further modify the models with stochastic CA rules. The relationships between flow, cell occupancy (a proxy of density) and speed under different traffic mixtures and road (lane) widths are then elaborated.en_US
dc.language.isoen_USen_US
dc.subjectcaren_US
dc.subjectinhomogeneous cellular automataen_US
dc.subjectmixed trafficen_US
dc.subjectmotorcycleen_US
dc.titleInhomogeneous cellular automata modeling for mixed traffic with cars and motorcyclesen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/atr.5670390307en_US
dc.identifier.journalJOURNAL OF ADVANCED TRANSPORTATIONen_US
dc.citation.volume39en_US
dc.citation.issue3en_US
dc.citation.spage323en_US
dc.citation.epage349en_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.identifier.wosnumberWOS:000232568300006en_US
dc.citation.woscount62en_US
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