Abstract
Recent advancements in sensor, mobile computing, and wireless communication technologies is creating new opportunities to effectively exploit real-time traffic data. Onboard vehicles collect, process, simulate traffic states in a distributed fashion and a local transportation management center coordinates the overall simulation with an optimistic execution technique. Such a distributed approach can provide more up-to-date and robust estimates with decreased communication bandwidth requirements and increased computing capacity. This paper proposes an online ad hoc distributed simulation. The physical operating platform for the model including operating system, communicational middleware, and traffic simulation model are described. Also, this paper investigates the analytical background of rollback process of the proposed ad hoc distributed simulation model. Flow rate diagram and cumulative number of vehicle diagram show that the overall system simulation speed and estimate accuracy may differ significantly as a function of the selected threshold.
Highlights
The goal of this paper is to develop an online ad hoc distributed traffic simulation system based on optimistic execution
It is envisioned that in the proposed distributed traffic simulation framework, each in-vehicle simulation models a small portion of the overall network and provides detailed traffic state information
Traffic simulation and data processing are performed in a distributed fashion by multiple vehicles
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Transportation impacts every aspect of daily life. Efforts to improve transportation have been made to ensure quality of life and higher standards of living
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