An Improved Cellular Automata Model for Heterogeneous Work Zone Traffic
Meng, Qiang; Weng, Jinxian
This paper aims to develop an improved cellular automata (ICA) model for simulating heterogeneous traffic in work zones. The proposed ICA model includes the forwarding rules to update longitudinal speeds and positions of work zone vehicles. The randomization probability parameter used by the ICA is formulated as a function of the activity length, the transition length and the volumes of different types of vehicles traveling across work zones. Compared to the existing cellular automata models, the ICA model possesses a novel and realistic lateral speed and position updating rule so that the simulation of vehicle's lateral movement in work zones is close to the reality. The ICA model is calibrated and validated microscopically and macroscopically by using the real work zone data. Comparisons of field data and ICA for trajectories, speed and speed-flow relationship in work zones show very close agreement. Finally, the proposed ICA model is applied to estimate traffic delay occurring in work zones.
Transportation Research Part C: Emerging Technologies