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Vehicular traffic modeling with greedy lane-changing and inordinate waiting

Damian N. Dailisan and May T. Lim

Physica A: Statistical Mechanics and its Applications, 2019, vol. 521, issue C, 715-723

Abstract: Lane changing and vehicular slowdowns are known to impact traffic flow. Using a modified Nagel–Schreckenberg cellular automata model for two vehicle types: blocking (e.g. cars) and non-blocking (e.g. motorcycles), we determined the thresholds at which the interplay of lane changing, random and non-random slowdowns strongly impact vehicle speeds. Lane changing improves speed with diminishing returns as vehicles opt to change lanes. At the same time, lane changing is detrimental to the overall speed when lane straddling occurs. Increasing random slowdowns beyond a critical value (in the case of motorcycles, slowdown values of pslow≈[0.2,0.3,0.4] for densities ρ=[0.20,0.15,0.10] respectively) can force crossover from free flowing traffic into a state where interactions between vehicles reduce the average speed.

Keywords: Computer modeling and simulation; Transportation; Monte Carlo methods statistical physics and nonlinear dynamics (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:521:y:2019:i:c:p:715-723

DOI: 10.1016/j.physa.2019.01.107

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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