Priority and collision avoidance system for traffic lights

Santos‐González, Iván; Caballero‐Gil, Pino; Rivero-García, Alexandra; Caballero-Gil, Cándido

doi:10.1016/j.adhoc.2019.101931

Cited by 9 publications

(5 citation statements)

References 28 publications

(23 reference statements)

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“…Milanés et al proposed a rear-end collision-avoidance method based on the fuzzy controller of CWS [39]. Zhao et al [40], Lee et al [41], and Santos-González et al [42] built different CWSs based on ICT and intelligent terminals. Yet, the functional dimension is less considered.…”

Section: Cws Developmentmentioning

confidence: 99%

Conceptual Modeling of Extended Collision Warning System from the Perspective of Smart Product-Service System

Zhu

et al. 2022

Sensors

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While Product-Service Systems (PSS) have a potential sustainability impact by increasing a product’s life and reducing resource consumption, the lack of ownership might lead to less responsible user behavior. Smart PSS can overcome this obstacle and guarantee correct and safe PSS use. In this context, intelligent connected vehicles (ICVs) with PSS can effectively reduce traffic accidents and ensure the safety of vehicles and pedestrians by guaranteeing optimal and safe vehicle operation. A core subsystem to support that is the collision-warning system (CWS). Existing CWSs are, however, limited to in-car warning; users have less access to the warning information, so the result of CWS for collision avoidance is insufficient. Therefore, CWS needs to be extended to include more elements and stakeholders in the collision scenario. This paper aims to provide a novel understanding of extended CWS (ECWS), outline the conceptual framework of ECWS, and contribute a conceptual modeling approach of ECWS from the smart PSS perspective at the functional level. It defines an integrated solution of intelligent products and warning services. The function is modeled based on the Theory of Inventive Problem Solving (TRIZ). Functions of an ECWS from the perspective of smart PSS can be comprehensively expressed to form an overall solution of integrated intelligent products, electronic services, and stakeholders. Based on the case illustration, the proposed method can effectively help function modeling and development of the ECWS at a conceptual level. This can effectively avoid delays due to traffic accidents and ensure the safety of vehicles and pedestrians.

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Section: Cws Developmentmentioning

confidence: 99%

Conceptual Modeling of Extended Collision Warning System from the Perspective of Smart Product-Service System

Zhu

et al. 2022

Sensors

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“…The authors in [32] proposed a collision warning algorithm in which they analyze different factors (human, road condition, time, and position), which can affect the performance of collision. The authors in [33] proposed a collision avoidance system where traffic lights communicate with nearby smartphones. Then these smartphones share warning with other smartphones.…”

Section: Related Workmentioning

confidence: 99%

Multi-Factor Rear-End Collision Avoidance in Connected Autonomous Vehicles

et al. 2022

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According to World Health Organization (WHO), the leading cause of fatalities and injuries is rear-ending collision in vehicles. The critical challenge of the technologically rich transportation system is to reduce the chances of accidents between vehicles. For this purpose, it is especially important to analyze the factors that are the cause of accidents. Based on these factors’ results, this paper presents a driver assistance system for collision avoidance. There are many factors involved in collisions in the existing literature from which we identified some factors which can affect the accident occurrence probability. However, with advancements in the technologies of autonomous vehicles, these factors can be controlled using an onboard driver assistance system. We used MATLAB’s Fuzzy Inference System Tool to analyze the categories of accident contributing factors. Fuzzy results are validated using the VOMAS agent in the NetLogo simulation model. The proposed system can inform the vehicle’s automated system when chances of an accident are higher so that the vehicle may take control from the driver. The proposed research is extremely helpful in handling various kinds of factors involved in accidents. The results of the experiments demonstrated that multi-factor-enabled vehicles could better avoid collision as compared to other vehicles.

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“…The Yolo-V3 algorithm is used for object detection because this algorithm is fast and capable of processing 45 images per second with a computer with a good processor. In [34] detects red lights and gives vehicles and pedestrians warnings near red lights using a smartphone. A priority system for traffic lights, which weights each lane based on the number and type of vehicles which are in that lane, is implemented.…”

Section: Smart Traffic Lights For Congestion Reductionmentioning

confidence: 99%

Recent development of smart traffic lights

Yusuf

Arifin

Zulkifli

2021

IJ-AI

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<span id="docs-internal-guid-288f4dcc-7fff-1e8c-0350-5032593b6e4f"><span>Increased traffic flow causes congestion, especially in large cities. Even though congestion is not unusual, traffic jams still result in very high economic and social losses. Several factors cause congestion, one of which is traffic lights. Therefore, a mechanism is needed so that traffic lights can intelligently and adaptively manage signal time allocation according to traffic flow conditions. A traffic light with this type of mechanism is known as a smart traffic light. Smart traffic light cycle settings can be grouped based on the traffic density, scenarios for emergency vehicles, and the interests of pedestrians. This paper analyzes the methods and technologies used in the development of smart traffic light technology from the perspective of these three situations as well as the development of smart traffic light technology in the future.</span></span>

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Priority and collision avoidance system for traffic lights

Cited by 9 publications

References 28 publications

Conceptual Modeling of Extended Collision Warning System from the Perspective of Smart Product-Service System

Conceptual Modeling of Extended Collision Warning System from the Perspective of Smart Product-Service System

Multi-Factor Rear-End Collision Avoidance in Connected Autonomous Vehicles

Recent development of smart traffic lights

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