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Mixed traffic flow composed of autos and non-autos widely exists in developing countries and areas.To investigate the operational characteristics of the mixed traffic flow consisting of vehicles in different types(large vehicles,cars,and bicycles),we develop a cellular automaton model to replicate the travel behaviors on a bi-directional road segment with respect to the physical and mechanic features of different vehicle types.By implementing the essential parameters calibrated through the field data collection,a numerical study is carried out considering the variation in volume,density,and velocity with different compositions of mixed traffic flows.The primary findings include:the average velocity of traffic flow and total volume decrease 60% and 30% after incorporating 10% bicycles.respectively;the phenomenon of double-summit in terms of the total volume appears when the proportion of bicycle is beyond 60%;the maximal total volume starts to recover when the proportion of bicycle is higher than 10%.
Mixed traffic flow composed of autos and non-autos widely exists in countries and areas.To investigate the operational characteristics of the mixed traffic flow consisting of vehicles in different types (large vehicles, cars, and bicycles), we develop a cellular automaton model to replicate the travel behaviors on a bi-directional road segment with respect to the physical and mechanic features of different vehicle types.By implementing the essential parameters calibrated through the field data collection, a numerical study is carried out considering the variation in volume, density , and velocity with different compositions of mixed traffic flows.The primary findings include: the average velocity of traffic flow and total volume decrease 60% and 30% after incorporating 10% bicycles. statistically; the phenomenon of double-summit in terms of the total volume appears when the proportion of bicycle is beyond 60%; the maximal total volume starts to recover when the proportion of bicycle is h igher than 10%.