2010
DOI: 10.1016/j.physa.2010.06.014
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Non-lane-based full velocity difference car following model

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Cited by 150 publications
(30 citation statements)
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“…A study has been made to see the effect of neighboring leading vehicle's position on the following vehicle in a staggered car-following. Attempts have also been made to incorporate the staggered car-following behavior using the visual angle concept by Jin et al [17,18], but these approaches do not adequately represent the lateral discomfort. Recent study by Pal and Mallikarjuna [19] used effective width of vehicles (which also included LC maintained by vehicles) to calculate macroscopic parameter of area occupancy of traffic.…”
Section: Previous Work On Speed-lc Relationshipmentioning
confidence: 99%
“…A study has been made to see the effect of neighboring leading vehicle's position on the following vehicle in a staggered car-following. Attempts have also been made to incorporate the staggered car-following behavior using the visual angle concept by Jin et al [17,18], but these approaches do not adequately represent the lateral discomfort. Recent study by Pal and Mallikarjuna [19] used effective width of vehicles (which also included LC maintained by vehicles) to calculate macroscopic parameter of area occupancy of traffic.…”
Section: Previous Work On Speed-lc Relationshipmentioning
confidence: 99%
“…Model FVDM bertujuan untuk menyimulasikan iringan kendaraan dengan mengoptimalkan dan mengamati kecepatan, waktu dan jarak dengan mempertimbangkan parameter variabel fungsi langkah dan selisih antar kecepatan. Pembahasan mengenai FVDM dapat dilihat dalam beberapa pustaka [1], [2], [6], [9], [10] dan metode sebelumnya optimal velocity model (OVM) pada [5].…”
Section: Pendahuluanunclassified
“…He improved a stopping distance based approach that was proposed by Gipps (1981), and presented a new car-following model, taking into account lateral friction between vehicles. Jin et al (2010) proposed a non-lane-based car following model using a modified fullvelocity difference model. All the above models have assumed that drivers are able to perceive distances, speeds, and accelerations.…”
Section: Basic Theoretical Backgroundmentioning
confidence: 99%