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نتیجه جستجو - Activity-based model

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Exploring Potential Applications of Quantum Computing in Transportation Modelling
بررسی کاربردهای بالقوه محاسبات کوانتومی در مدل سازی حمل و نقل-2022
The idea that quantum effects could be harnessed to allow faster computation was first proposed by Feynman. As of 2020 we appear to have achieved ‘quantum supremacy’, that is, a quantum computer that performs a given task faster than its classical counterpart. This paper examines some possibilities opened up by potential future application of quantum computing to transportation simulation and planning. To date, no such research was found to exist, therefore we begin with an introduction to quantum computing for the programmers of transport models. We discuss existing quantum computing research relevant to transportation, finding developments in network analysis, shortest path computation, multi-objective routing, optimization and calibration – of which the latter three appear to offer the greater promise in future research. Two examples are developed in greater detail, (1) an application of Grover’s quantum algorithm for extracting the mean, which has general applicability towards summarizing distributions which are expensive to compute classically, is applied to an assignment or betweenness model - quantum speedup is elusive in the general case but achievable when trading speed for accuracy for limited outputs; (2) quantum optimization is applied to an activity-based model, giving a theoretically quadratic speedup. Recent developments notwithstanding, implementation of quantum transportation algorithms will for the foreseeable future remain a challenge due to space overheads imposed by the requirement for reversible computation.
Index Terms: Quantum computing | assignment | betweenness | flows, activity models | tour models.
مقاله انگلیسی
2 Development and application of the Activity-BAsed Traveler Analyzer (ABATA) system
توسعه و کاربرد سیستم تجزیه و تحلیل مسافرتی Activity-BAsed (ABATA)-2020
While advanced technologies and big data are widely used in the transportation study, most transportation plans still rely on some variant of traditional four-step demand forecasting models. The most significant limitations of the four-step model are spatiotemporal aggregation of data and difficulty of considering individual travel behaviors. To address these drawbacks, activity-based modeling systems have increasingly been developed. In this paper, we present a new activity-based analytical system, called Activity-BAsed Traveler Analyzer (ABATA). The distinguishing feature of ABATA is the simulation of the present hourly service population that is determined from mobile phone data instead of a synthetic population. ABATA comprises multiple components, including an hourly total population estimator, activity profile constructor, hourly activity population estimator, spatial activity population estimator, and origin–destination estimator. To demonstrate the proposed method, a future aged society in Gangnam, Korea is evaluated as a case study. The results indicate that the hourly activity populations engaged in work, school, and private education decreased, while those engaged in home, shopping, recreation and other activities increased with the aging of the population. The associated changes in mobility were found to be rational and reasonable: older people tend to have a more flexible working time, make shorter-distance trips, undertake more trips for shopping, recreation, home, and other activities, and finish their trips earlier, before evening. The proposed ABATA system is expected to provide a valuable tool for simulating the impacts of future changes in population, activity schedules, and land use on activity populations and travel demands.
Keywords: Activity-based model | Mobile phone data | Hourly service population | Mobility | Aged society
مقاله انگلیسی
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