2021
DOI: 10.5198/jtlu.2021.1791
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framework to generate virtual cities as sandboxes for land use-transport interaction models

Abstract: One of the major critiques of land use-transport interaction (LUTI) models over the ages has been their over-dependence on individualized software and context. In an effort to address some of these concerns, this study proposes a framework to construct "virtual cities" that can act as sandboxes for testing different features of a LUTI model, as well as provide the capability to compare different LUTI models. We develop an approach to translate any prototypical transportation infrastructure network into a plaus… Show more

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Cited by 4 publications
(4 citation statements)
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“…The Motion Analysis System raw data digitally processes the following data: the maximum linear velocity of the ankle joint and the knee joint, the maximum and minimum angles of the knee joint, and the maximum and minimum of the hip joint. 3 The knee joint's angular range (ROM) can be calculated using the maximum and minimum knee angles. We compared the difference between the front and back whip legs.…”
Section: Test Indicatorsmentioning
confidence: 99%
“…The Motion Analysis System raw data digitally processes the following data: the maximum linear velocity of the ankle joint and the knee joint, the maximum and minimum angles of the knee joint, and the maximum and minimum of the hip joint. 3 The knee joint's angular range (ROM) can be calculated using the maximum and minimum knee angles. We compared the difference between the front and back whip legs.…”
Section: Test Indicatorsmentioning
confidence: 99%
“…In the lower level learning (withinday learning), the time dependent link travel time can be iteratively updated considering a fixed Preday demand and used in the Withinday and Supply insimulation interaction when agents have to make the combined departure time and (linklevel) route choices. Both preday and within day loops stop until consistency is achieved Basu et al (2021). In this study, we focus on the withinday daytoday learning and keep the preday output (i.e., demand) fixed.…”
Section: Supply and Daytoday Learningmentioning
confidence: 99%
“…This case study is tested using the 'Virtual City', which consists of a moderately sized network, generated so as to resemble land use patterns, travel behavior, and activity patterns observed in Singapore (Basu et al, 2018(Basu et al, , 2021, with calibrated parameters such as timeofday, mode, destination choice, route choice, speeddensity parameters, zonetozone travel time, etc. The road network consists of 95 nodes (intersections), 286 segments (road sections with homogeneous geometry), and 254 links (groups of one or more segments with similar properties).…”
Section: Study Area and Experimental Designmentioning
confidence: 99%
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