Emergency Vehicle Signalling Using VANETS
24 Aug 2015-pp 734-739
TL;DR: This paper proposes an automatic green channel facility during heavy traffic for an emergency vehicle in a particular lane in order to provide an intelligent transport system in bad traffic situations.
Abstract: In our day to day life we witness an increase in population thereby a sudden increase of vehicles on roads causing major traffic jams and delays. There always exists an emergency situation where we require the movement of ambulances and fire engines to reach its destination on time. Due to bad traffic situations this event fails to happen. This paper proposes an automatic green channel facility during heavy traffic for an emergency vehicle in a particular lane. Vehicular Ad-Hoc Networks (VANET) is an effective method of communication between the emergency vehicle, the traffic lights (infrastructure) and the other vehicles. A traffic scenario is created to evaluate the performance of communication between the moving nodes, road side units and the traffic lights, till the vehicle successfully reaches its destination. VANET is an advanced application of Mobile Ad Hoc Network (MANET), which can easily optimize road traffic as well as improve safety so as to provide an intelligent transport system. The proposed research paper is analyzed through a real-time vehicle traffic scenario simulation and then evaluated through a series of simulation using network simulator.
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TL;DR: iCAFE achieves a high packet delivery ratio (PDR) with minimum rescue delay (R-Delay), high throughput, minimum network load, smaller collision probability, and minimum packet drop fraction and is compared with the traffic accidents reduction strategy (TARS).
25 citations
TL;DR: A systematic literature review of optimisation and pre-emption techniques for routing EVs, including optimisations using real-time dynamic traffic data, and considering time to travel as a critical parameter within dynamic route planning algorithms is presented.
23 citations
Cites background from "Emergency Vehicle Signalling Using ..."
...Agarwal and Paruchuri (2016), Jayaraj and Hemanth (2015), Jordan and Cetin (2015), Moroi and Takami (2015), Nellore and Hancke (2016), Noori et al.(2016), Pighin and Fierens (2016), and Unibaso et al. (2010) all implemented VANET as communication tool to execute preemption effectively....
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...Unlike above-mentioned approaches, Bhavani, Vishwasri, and Chandrakala (2016) and Jayaraj and Hemanth (2015) focused on implemented pre-emption techniques for a single intersection....
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...Agarwal and Paruchuri (2016), Jayaraj and Hemanth (2015), Kamalanathsharma and Hancock (2012) and Noori et al. (2016) use VANETs to determine the position of EV which considers EVs and roadside units as nodes of a vehicular network....
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...…traffic signal pre-emption for emergency vehicle based on real-time emergency vehicle data, traffic volume data, and traffic signal timings (Agarwal & Paruchuri, 2016; Anand & Flora, 2014; Djahel et al., 2015; Jayaraj & Hemanth, 2015; Moraali, 2011, April; Smitha et al., 2012; Wang et al., 2013)....
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01 Jan 2020
TL;DR: Developing efficient services for wearable and implantable medical services is the aim of this chapter by providing real time data for ambulance service by proposing a traffic management solution for ambulances using sensors and GPS technology.
Abstract: Advancements in commuting systems have increased traffic many folds. In developing countries like India vehicle use is increasing day by day with increases in population, creating additional traffic problems. To ensure emergency vehicles like fire trucks and ambulances can respond to emergencies in a timely manner smart traffic management is needed. The chapter proposes a traffic management solution for ambulances using sensors and GPS technology. The data received from the sensors are sent to allocated stations where it is then processed and updated information is sent to the ambulance for traffic management. The chapter also suggests a mechanism for changing lights from red to green at specific times to allow emergency vehicles to navigate in heavy traffic. Developing efficient services for wearable and implantable medical services is the aim of this chapter by providing real time data for ambulance service.
9 citations
TL;DR: A2T is proposed to enhance the efficiency of rescue missions, by establishing a communication mechanism among ambulances and infrastructures (e.g., traffic light controllers), and Thailand, which had the highest road traffic death rate in the world in 2015 is selected as a use case.
Abstract: During rescue missions, transferring injured people from accident scenes to rescue sites is considered crucial and time-sensitive. In particular, a one-second delay could put more lives in danger. Though ambulances are commonly equipped with standard siren devices, such siren signals are not recognized by traffic light controllers. Therefore, rescue missions could be delayed at intersections due to an urgency-unaware traffic light control system. In the worst case, pile-up accidents could also happen when the ambulances lawfully ignores the traffic lights. This paper proposes A2T to enhance the efficiency of rescue missions, by establishing a communication mechanism among ambulances and infrastructures (e.g., traffic light controllers). Thailand, which had the highest road traffic death rate in the world in 2015, is selected as a use case in this paper. A2T promotes information sharing between ambulances and traffic light controllers along the rescue path in advance. Such information, including speeds, locations, and emergency routes, allows the traffic light controllers to launch a prioritized green traffic light accordingly. This allows the ambulances to go through any road intersection efficiently and safely. Our comprehensive performance evaluation shows that A2T achieves 100 percent waiting time reduction for the ambulances, with only 2.48 percent increase in delay of other vehicles at the intersections.
8 citations
Cites background from "Emergency Vehicle Signalling Using ..."
...In [9], ambulances and traffic light controllers are allowed to communicate with each other....
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TL;DR: An IoT-based formal model for vehicle-life integration enabling RSUs with the help of different approaches is developed that uses vehicle scenarios in smart transportation systems so that quick data transmission is provided between the source and destination vehicles.
Abstract: VANETs have gained much attention from both industry and academia because of their characteristics, such as dynamic topology. There are various applications of VANETs that are classified on the basis of safety, efficiency, commercial usage, and productive areas. This paper presents an IoT-based formal model for vehicle-life integration enabling RSUs with the help of different approaches. We have developed a model that uses vehicle scenarios in smart transportation systems so that quick data transmission is provided between the source and destination vehicles. Further, fog-based RSUs provide a wide range to communicate with hospitals and emergency vehicles to deal with emergency situations. All the appropriate entities are connected to ensure a consistent traffic flow for the arrival of an emergency vehicle in emergency places. The UML, graph theory, and VDM-SL formal technique are used to represent this system. To model the network and discover appropriate paths for V2V communication, graph theory is applied. The system requirements are designed using a UML diagram. The VDM-SL, an object-oriented model-based formal technique, was utilized for this modeling procedure. This approach assures the safety and accuracy of systems by detecting flaws early in the design process. It also gives an exceptionally important answer to an issue and increases trust in the software’s quality.
8 citations
References
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01 Oct 2009
TL;DR: This work outlines a comprehensive design of such an emergency vehicle warning system that makes full use of inter-vehicle communication, but also encompasses roadside infrastructure like traffic lights.
Abstract: One often cited use case for vehicular networks are applications that relate to emergency vehicles. In addition to the traditional siren, they could use radio communication to warn other vehicles or to preempt traffic lights. Such an application can reduce accident risks during emergency response trips and also help save valuable time. We outline a comprehensive design of such an emergency vehicle warning system that makes full use of inter-vehicle communication, but also encompasses roadside infrastructure like traffic lights. In our system, other vehicles are not simply warned of an approaching emergency vehicle; they also receive detailed route information. Based on this information, timely and appropriate reaction of other drivers is possible. A prototype of our system has been tested in a traffic environment including emergency vehicles and traffic lights. To identify requirements and evaluate our system, we also conducted a detailed analysis of videos from emergency response trips and an expert survey among members of a local emergency response organization.
160 citations
TL;DR: The results show that, even with a small number of RSUs, the performance in terms of the probability of network connectivity, the rehealing delay, the number of rehealing hops, and the message penetration time can be significantly improved in highway VANET scenarios.
Abstract: In vehicular ad hoc network (VANET) safety applications, the source vehicle that detects an accident can generate a warning message and propagate it to the following vehicles to notify other drivers before they reach the potential danger zone on the road. Recent studies have shown that sparse vehicle traffic leads to network fragmentation, which poses a crucial research challenge for safety applications. In this paper, we analyze and quantify the improvement in VANET connectivity when a limited number of roadside units (RSUs) are deployed and to investigate the routing performance for broadcast-based safety applications in this enhanced VANET environment. Our results show that, even with a small number of RSUs, the performance in terms of the probability of network connectivity, the rehealing delay, the number of rehealing hops, and the message penetration time can be significantly improved in highway VANET scenarios.
154 citations
TL;DR: An analytical model for evaluating the performance of emergency messaging via wireless CA systems is proposed, utilizing the dichotomized headway model, the braking model, and Greenberg's logarithmic model to generate vehicular mobility traces for analysis.
Abstract: In a Vehicular Ad Hoc Network (VANET), the wireless Collision Avoidance (CA) system issues warnings to drivers before they reach a potentially dangerous zone on the road. This paper proposes an analytical model for evaluating the performance of emergency messaging via wireless CA systems. First, we utilize the dichotomized headway model, the braking model, and Greenberg's logarithmic model to generate vehicular mobility traces for analysis. Second, we derive the probability of a rear-end collision between two vehicles that travel in the same direction when a sudden event occurs. Third, we quantify the probability of vehicles failing to receive the emergency message. Numerical results from the model show that the number of car crashes per accident is much higher when a wireless CA system is not used. We also find it interesting that the number of car crashes is not directly proportional to the vehicle density when the vehicular mobility traces follow the speed-density relationship offered by Greenberg's logarithmic model. By integrating flow theory into VANET analysis, our model provides useful insights for future intelligent transportation.
33 citations
07 Jan 2012
TL;DR: The main theme behind this scheme is to provide a smooth flow for the ambulance to reach the hospitals in time and thus minifying the expiration.
Abstract: Traffic congestion and tidal flow management were recognized as major problems in modern urban areas, which have caused much thwarting for the ambulance. Moreover road accidents in the city have been incessant and to bar the loss of life due to the accidents is even more crucial. To implement this we introduce a scheme called AARS (Automatic ambulance rescue system). The main theme behind this scheme is to provide a smooth flow for the ambulance to reach the hospitals in time and thus minifying the expiration. The idea behind this scheme is to implement a ITS which would control mechanically the traffic lights in the path of the ambulance. The ambulance is controlled by the central unit which furnishes the most scant route to the ambulance and also controls the traffic light according to the ambulance location and thus reaching the hospital safely. The server also determines the location of the accident spot through the sensor systems in the vehicle which encountered the accident and thus the server walks through the ambulance to the spot. This scheme is fully automated, thus it finds the accident spot, controls the traffic lights, helping to reach the hospital in time.
27 citations
01 Jan 2014
TL;DR: This paper has created a sample scenario of VANET for AODV routing protocol, using SUMO for generating traffic mobility files and NS-3 for testing performance of routing protocols on the mobility files created using Traffic simulator SUMO.
Abstract: Vehicular ad-hoc network(VANET) is subclass of mobile ad-hoc network which is vehicle to vehicle and vehicle to infrastructure communication environment, where nodes involve themselves as servers and/or clients to exchange and share information VANET have some unique characteristics like high dynamic topology, frequent disconnections, restricted topology etc, so it need special class of routing protocol To simulate the VANET scenarios we require two types of simulators, traffic simulator for generating traffic and network simulator In this paper we have created a sample scenario of VANET for AODV routing protocol We have used SUMO for generating traffic mobility files and NS-3 for testing performance of routing protocols on the mobility files created using Traffic simulator SUMO
22 citations