2019
DOI: 10.1109/tits.2018.2877758
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Facilitating Emergency Response Vehicles’ Movement Through a Road Segment in a Connected Vehicle Environment

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Cited by 27 publications
(14 citation statements)
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“…In this paper, the initial approach of Hannoun et al is extended to optimize the ERV passage over larger distances (3). The approach assumes the presence of a centralized computing server that preprocesses the collected data (positions, speeds, and deceleration capabilities of connected vehicles), runs the ILP, and post-processes and stores the ILP output.…”
Section: Proposed Systemmentioning
confidence: 99%
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“…In this paper, the initial approach of Hannoun et al is extended to optimize the ERV passage over larger distances (3). The approach assumes the presence of a centralized computing server that preprocesses the collected data (positions, speeds, and deceleration capabilities of connected vehicles), runs the ILP, and post-processes and stores the ILP output.…”
Section: Proposed Systemmentioning
confidence: 99%
“…Hannoun et al presented a mathematical program to facilitate ERV passage along a transportation link of predefined length by relying on vehicular communications (3). The integer linear program (ILP) identifies the fastest ERV intra-link path along with the ERV's maneuvering instructions based on downstream information.…”
mentioning
confidence: 99%
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“…IoV can bring some fundamental changes to urban emergency response and accident management. In the IoV, when an emergency occurs, for example, car accidents, dangerous road conditions, the connected cars, or roadside units can automatically send real-time data via IoV about the emergency along with the location information to the emergency management system [20,21] . The emergency management system can automatically respond to this (for example, send a warning to nearby vehicles) or make a request for human emergency team involvement (for example, human emergency team will ask police and ambulances to handle the case).…”
Section: Emergency Responsementioning
confidence: 99%