Abstract
This study proposes an integrated driving control strategy by taking advantage of the automated driving technology at the individual vehicle level and the traffic signal preemption strategy at the traffic infrastructure level. This aims to facilitate an automated driving-based emergency vehicle control and ultimately to achieve efficient and safe control of emergency vehicles. To this end, this study developed the integrated emergency vehicle control logic, implemented the logic in the microscopic traffic simulation environment using the simulation software’s application programming interface capability, and evaluated the impacts of the proposed emergency vehicle control logic in the aspects of mobility and safety with different driving aggressiveness and preemption initiation settings. The study’s results show that the proposed emergency vehicle control logic achieved benefits on mobility and safety and the benefits of emergency vehicle control strategy can be maximized when the signal preemption and the automated driving control operate in collaboration. Therefore, the proposed integrated approach of automated driving controls and signal preemption will be a great reference for enhancing automated driving technologies supporting a safe and fast mobility solution.
Highlights
Automated driving technologies have been spotlighted in recent years
This study developed the integrated emergency vehicle control logic, implemented the logic in the microscopic traffic simulation environment using the simulation software’s application programming interface capability, and evaluated the impacts of the proposed emergency vehicle control logic in the aspects of mobility and safety with different driving aggressiveness and preemption initiation settings. e study’s results show that the proposed emergency vehicle control logic achieved benefits on mobility and safety and the benefits of emergency vehicle control strategy can be maximized when the signal preemption and the automated driving control operate in collaboration. erefore, the proposed integrated approach of automated driving controls and signal preemption will be a great reference for enhancing automated driving technologies supporting a safe and fast mobility solution
While the Emergency vehicles (EMVs) control strategy proposed in this study adopts state-ofthe-art technologies, some technical assumptions are made in this study as follows: (i) e EMV is equipped with a GPS device, capable of positioning the vehicle’s location (ii) e EMV is equipped with an on-board unit (OBU), capable of V2X communication (iii) e EMV is equipped with vehicle sensors, capable of detecting adjacent vehicles (iv) Traffic signal controllers in this road network are equipped with roadside units (RSU), capable of receiving the EMV’s wireless transmission
Summary
Automated driving technologies have been spotlighted in recent years. Safety systems and applications are the core of the automated driving technology because safety is a critical value when a new transportation mode is deployed in reality. E recent studies took advantage of the wireless communications technology such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications (hereinafter “V2X”) in order to transmit the EMV’s location information to traffic signal controllers in advance to reach the intersections. Based on these examples, it is expected that support from road infrastructure such as V2X communications and traffic signal controls can facilitate the operation of EMVs [5,6,7,8]. This study takes the optimum driving parameters set concerning mobility and safety performance measures into consideration
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