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Analysis of vehicle acceleration profiles for emissions modelling at signalised intersections
Sicong Zhu,Inhi Kim,Keechoo Choi 대한교통학회 2017 대한교통학회 학술대회지 Vol.77 No.-
The acceleration behaviour of leading vehicles at intersections is needed for queue simulation and emissions estimation. Data obtained from experiments using a driving simulator can provide useful insights into the behaviour of drivers at intersections. The assumption of constant acceleration is found to deviate substantially from accurate, observed accelerations collected by a driving simulator study. The acceleration characteristics are also fundamentally different between participants. Hence, a Markov chain is implemented here to simulate the acceleration behaviour and to reconstruct the acceleration profiles of leading vehicles. Based on the simulator data, the Markov chain reproduces adequately the randomness of acceleration behaviours. Based on the results reported here, a speed acceleration profile is proposed which represents the typical profile at signalised intersections.