Investigating the Operational Dynamics of Different Transportation Modes in Vehicular Networks

Abstract

Public transportations play an important role in Intelligent Transportation Systems as they are the key components in the movement of goods, services, and people in and out of the urban city. Therefore, it becomes imperative to investigate their operational dynamics to improve customer service and satisfaction and understand the effects of road networks. In this study, the operational dynamics of two different public transportation modes plying an urban city are investigated. In particular, we measure the amount and frequency of a vehicle’s idling time, travel time, speed, and distance from their empirical GPS mobility traces and correlate it with the operations of each public transportation mode. Extensive simulation results reveal mostly the similarities in the operational dynamics for both cars and motorcycles. However, minor differences pertaining to how the fitting of efficiency distributions exist, i.e., car efficiencies are normally skewed to short-distance travel when compared to motorcycles.

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