A Novel Solution to Prevent Accidents using V2I in Moroccan Smart Cities

Sabir, Zakaria; Dafrallah, Safaa; Amine, Aouatif

doi:10.1109/iccike47802.2019.9004397

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…In order to improve the accuracy of obstacle detection, a large number of scholars and manufacturers at home and abroad have carried out a significant amount of relevant research. Sabir Z. et al [ 2 ] This paper proposes a communication strategy that incorporates a vehicle factor. This approach provides the driver with risk information about the environment at the appropriate time, and the vehicle owner can choose a navigation option based on the warning information.…”

Section: Related Workmentioning

confidence: 99%

Obstacle Detection Method Based on RSU and Vehicle Camera Fusion

Ding

Zhang³

et al. 2023

Sensors

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Road obstacle detection is an important component of intelligent assisted driving technology. Existing obstacle detection methods ignore the important direction of generalized obstacle detection. This paper proposes an obstacle detection method based on the fusion of roadside units and vehicle mounted cameras and illustrates the feasibility of a combined monocular camera inertial measurement unit (IMU) and roadside unit (RSU) detection method. A generalized obstacle detection method based on vision IMU is combined with a roadside unit obstacle detection method based on a background difference method to achieve generalized obstacle classification while reducing the spatial complexity of the detection area. In the generalized obstacle recognition stage, a VIDAR (Vision-IMU based identification and ranging) -based generalized obstacle recognition method is proposed. The problem of the low accuracy of obstacle information acquisition in the driving environment where generalized obstacles exist is solved. For generalized obstacles that cannot be detected by the roadside unit, VIDAR obstacle detection is performed on the target generalized obstacles through the vehicle terminal camera, and the detection result information is transmitted to the roadside device terminal through the UDP (User Data Protocol) protocol to achieve obstacle recognition and pseudo-obstacle removal, thereby reducing the error recognition rate of generalized obstacles. In this paper, pseudo-obstacles, obstacles with a certain height less than the maximum passing height of the vehicle, and obstacles with a height greater than the maximum passing height of the vehicle are defined as generalized obstacles. Pseudo-obstacles refer to non-height objects that appear to be “patches” on the imaging interface obtained by visual sensors and obstacles with a height less than the maximum passing height of the vehicle. VIDAR is a vision-IMU-based detection and ranging method. IMU is used to obtain the distance and pose of the camera movement, and through the inverse perspective transformation, it can calculate the height of the object in the image. The VIDAR-based obstacle detection method, the roadside unit-based obstacle detection method, YOLOv5 (You Only Look Once version 5), and the method proposed in this paper were applied to outdoor comparison experiments. The results show that the accuracy of the method is improved by 2.3%, 17.4%, and 1.8%, respectively, compared with the other four methods. Compared with the roadside unit obstacle detection method, the speed of obstacle detection is improved by 1.1%. The experimental results show that the method can expand the detection range of road vehicles based on the vehicle obstacle detection method and can quickly and effectively eliminate false obstacle information on the road.

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Section: Related Workmentioning

confidence: 99%

Obstacle Detection Method Based on RSU and Vehicle Camera Fusion

Ding

Zhang³

et al. 2023

Sensors

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“…In [60], a tripartite framework for accident prevention in Morocco was presented. The three factors considered by the framework were human, environmental and vehicular factors, though emphasis was placed more on the vehicular factor.…”

Section: Ride Hailing and Smart Mobilitymentioning

confidence: 99%

“…Due to their ubiquity, smart phones have also been used as cost-effective ways of collecting data about road conditions for infrastructure planning [39,53,57]. Besides smart phones, a combination of IoT and WSN has also been used to gather data for infrastructure planning and accident prevention, as conducted in [37,54,59,60]. Regarding security, most authors relied on the use of cameras.…”

Section: Cross-cutting Connectionmentioning

confidence: 99%

Transport Inequalities and the Adoption of Intelligent Transportation Systems in Africa: A Research Landscape

et al. 2021

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Intelligent Transportation Systems (ITS), also known as Smart Transportation, is an infusion of information and communication technologies into transportation. ITS are a key component of smart cities, which have seen rapid global development in the last few decades. This has in turn translated to an increase in the deployment and adoption of ITS, particularly in countries in the Western world. Unfortunately, this is not the case with the developing countries of Africa and Asia, where dilapidated road infrastructure, poorly maintained public/mass transit vehicles and poverty are major concerns. However, the impact of Westernization and “imported technologies” cannot be overlooked; thus, despite the aforementioned challenges, ITS have found their way into African cities. In this paper, a systematic review was performed to determine the state of the art of ITS in Africa. The output of this systematic review was then fed into a hybrid multi-criteria model to analyse the research landscape, identify connections between published works and reveal research gaps and inequalities in African ITS. African peculiarities inhibiting the widespread implementation of ITS were then discussed, followed by the development of a conceptual architecture for an integrated ITS for African cities.

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“…In 2017, 3,499 deaths were recorded on Moroccan roads, against 3,593 in 2016, a small decrease of 2.6% year-on-year. While statistics show a slight advance in road safety, they hide other, more disturbing realities 1 . These statistics are blatant, so the Ministry of Equipment, Transport, Logistics, and Water (METLE) thought to launch research projects in partnership with Moroccan universities and the National Center for Scientific and Technical Research (CNRST) in order to reduce the number of victims.…”

Section: Introductionmentioning

confidence: 99%

“…This paper is an extension of work originally presented in the International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) [1]. In the current work, the authors will deal with the whole vehicular communication system to address road safety issues, especially in the Moroccan case.…”

Section: Introductionmentioning

confidence: 99%

PrOMor: A Proposed Prototype of V2V and V2I for Crash Prevention in the Moroccan Case

Sabir¹,

Amine²

2020

Adv. sci. technol. eng. syst. j.

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Road safety has become an object of research and many research institutes have invested in this field because a lot of people die and many others are injured every year due to road accidents. The deployment of wireless communication technologies for vehicular networks can considerably improve road safety. It can enable new services such as traffic management, collision detection, and additional communication ease between moving vehicles. This paper presents a complete implementation of Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communications. Raspberry Pi boards, ultrasonic sensor, infrared obstacle detector, and line follower sensors are used in order to implement the complete prototype. The results show the usefulness of this road safety prototype named PrOMor (Prevention of Obstacles in Morocco). Based on these results, it can be concluded that the presented scenarios can be applied to the field of road safety related to the Moroccan case. This should reduce the number of accidents and save more human lives.

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A Novel Solution to Prevent Accidents using V2I in Moroccan Smart Cities

Cited by 9 publications

References 8 publications

Obstacle Detection Method Based on RSU and Vehicle Camera Fusion

Obstacle Detection Method Based on RSU and Vehicle Camera Fusion

Transport Inequalities and the Adoption of Intelligent Transportation Systems in Africa: A Research Landscape

PrOMor: A Proposed Prototype of V2V and V2I for Crash Prevention in the Moroccan Case

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