Highway 4.0: Digitalization of highways for vulnerable road safety development with intelligent IoT sensors and machine learning

Abstract According to United Nations (UN) 2030 agenda, the transportation system needs to be enhanced for the establishment of access to safe, affordable, accessible, and sustainable transport systems along with enhanced road safety. The highway road transport system is one of the transport systems that enables to transits goods and humans from one location to another location. The agenda of UN 2030 for the transport system will be accomplished with the assistance of digital technologies like the internet of things (IoT) and artificial intelligence (AI). The implementation of these digital technologies on highways empowers to provide reliable, smarter, intelligent, and renewable energy sources experience to the users travelling along the highways. This study discusses the significance of the digitalization of highways that supporting and realizing a sustainable environment on the highways. To discuss the significance of digitalization, the study has categorized digitalization into five subcomponents namely smart highway lighting system, smart traffic and emergency management system, renewable energy sources on highways, smart display and AI in highways. An architecture-for smart highway lighting, smart traffic, and emergency management are proposed and discussed in the study. The significance of implementing smart display boards and renewable sources with real-time applications is also addressed in this study. Moreover, the integration of AI in highways is addressed with the perspective of enhancing road safety. The integration of deep learning (DL) in the edge-based vision node for predicting the patterns of traffic flow, highway road safety, and maintenance of quality roads have been addressed in the discussion section. Embedding the deep learning techniques in the vison node at the traffic junction and the highway lighting controller is able to deliver an intelligent system that provides sustained experience and management of the highways. Smart reflectors, adoption of renewable energy, developing vehicle-to-vehicle communication in vehicles, and smart lamppost are the few recommendations for the implementation of digitalizing highways.

[1]  Essam Ahmed,et al.  Towards a Smart Highway Lighting System Based on Road Occupancy: Model Design and Simulation , 2017 .

[2]  A. Taufiq Asyhari,et al.  The Emergence of Internet of Things (IoT): Connecting Anything, Anywhere , 2019, Comput..

[3]  Peter Kilpatrick,et al.  Challenges and Opportunities in Edge Computing , 2016, 2016 IEEE International Conference on Smart Cloud (SmartCloud).

[4]  M. Lavoie,et al.  CORRECTION , 2004, Injury Prevention.

[5]  A. Saggino,et al.  Sustainable Tourism and Facilities Preferences: The Sustainable Tourist Stay Scale (STSS) Validation , 2020, Sustainability.

[6]  Mohammed Wadi,et al.  Smart hybrid wind-solar street lighting system fuzzy based approach: Case study Istanbul-Turkey , 2018, 2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG).

[7]  Binod Kumar Pattanayak,et al.  IoT-Based Voice-Controlled Energy-Efficient Intelligent Traffic and Street Light Monitoring System , 2020 .

[8]  Anita Gehlot,et al.  Internet of Things in Automotive Industries and Road Safety , 2018 .

[9]  Simon G. M. Koo,et al.  Internet of Things: Services and Applications Categorization , 2011, Adv. Internet Things.

[10]  Arif Ur Rahman,et al.  SMART TSS: Defining transportation system behavior using big data analytics in smart cities , 2018, Sustainable Cities and Society.

[11]  Saleh Al-Jufout,et al.  Design of Vibration-Sourced Piezoelectric Harvester for Battery-Powered Smart Road Sensor Systems , 2020, IEEE Sensors Journal.

[12]  Saleh R Mousa,et al.  A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach. , 2019, Accident; analysis and prevention.

[13]  Jin Wang,et al.  Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control , 2020, Int. J. Distributed Sens. Networks.

[14]  Yan Zhang,et al.  Mobile Edge Computing: A Survey , 2018, IEEE Internet of Things Journal.

[15]  Sanghyun Ahn,et al.  Internet of Vehicles and Cost-Effective Traffic Signal Control , 2019, Sensors.

[16]  Stefano Chessa,et al.  Internet of Things for enabling smart environments: A technology-centric perspective , 2019, J. Ambient Intell. Smart Environ..

[17]  A. Hyder,et al.  Road Traffic Injuries and Data Systems in Egypt: Addressing the Challenges , 2012, Traffic injury prevention.

[18]  Luigi Patrono,et al.  Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future , 2020, Journal of Cleaner Production.

[19]  Azzedine Boukerche,et al.  Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems , 2020, Comput. Networks.

[20]  Wei-Hsun Lee,et al.  Design and Implementation of a Smart Traffic Signal Control System for Smart City Applications , 2020, Sensors.

[21]  Shuo Wang,et al.  Highway crash detection and risk estimation using deep learning. , 2019, Accident; analysis and prevention.

[22]  Qian Zhao,et al.  A preliminary study on the highway piezoelectric power supply system , 2017 .

[23]  Javier Bajo,et al.  Intelligent system for lighting control in smart cities , 2016, Inf. Sci..

[24]  Nita Yodo,et al.  A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System , 2020, Sustainability.

[25]  Wei-Hsun Lee,et al.  An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc Network , 2018 .

[26]  Sahil Garg,et al.  Real Time Adaptive Street Lighting System , 2019 .

[27]  Albert Y. Zomaya,et al.  Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence , 2019, IEEE Internet of Things Journal.

[28]  Kumar Alok,et al.  Adoption of electric vehicle: A literature review and prospects for sustainability , 2020 .

[29]  A.Santhosh Reddy,et al.  A Smart Highway Lighting System Using IOT , 2019 .

[30]  Mohammad S. Obaidat,et al.  IoT-Enabled Light Intensity-Controlled Seamless Highway Lighting System , 2020 .

[31]  Mahadev Satyanarayanan,et al.  The Emergence of Edge Computing , 2017, Computer.

[32]  Luiz Fernando Pinto de Oliveira,et al.  Development of a Smart Traffic Light Control System With Real-Time Monitoring , 2021, IEEE Internet of Things Journal.

[33]  Lissane Elhaq Saâd,et al.  Intelligent Transportations Systems : Review of Current Challenges and Success Factors: The Case of Developing Countries , 2019, 2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA).

[34]  Ken Hickson Race for Sustainability:Energy, Economy, Environment and Ethics , 2013 .

[35]  Sarmad Ullah Khan,et al.  Future Internet: The Internet of Things Architecture, Possible Applications and Key Challenges , 2012, 2012 10th International Conference on Frontiers of Information Technology.

[36]  A. M. Avila,et al.  Data-driven analysis and forecasting of highway traffic dynamics , 2020, Nature Communications.

[37]  Giovanni Maria Farinella,et al.  On-board monitoring system for road traffic safety analysis , 2018, Comput. Ind..

[38]  Xindong Wu,et al.  Object Detection With Deep Learning: A Review , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[39]  Hamid Behbahani,et al.  Increasing the efficiency of vehicle ad-hoc network to enhance the safety status of highways by artificial neural network and fuzzy inference system , 2020 .

[40]  Rizwan Patan,et al.  Internet of things-based fog and cloud computing technology for smart traffic monitoring , 2020, Internet Things.

[41]  Weisong Shi,et al.  Edge Computing for Autonomous Driving: Opportunities and Challenges , 2019, Proceedings of the IEEE.

[42]  Md. Arafatur Rahman,et al.  IoT for energy efficient green highway lighting systems: Challenges and issues , 2020, Journal of Network and Computer Applications.

[43]  Juncheng Jiang,et al.  Safety analysis of traffic flow characteristics of highway tunnel based on artificial intelligence flow net algorithm , 2018, Cluster Computing.

[44]  Pascal Lorenz,et al.  The Internet of Things for Smart Cities: Technologies and Applications , 2019, IEEE Netw..

[45]  Ekaette Ifiok Archibong,et al.  Internet of Things (IoT)-based, Solar Powered Street Light System with Anti-vandalisation Mechanism , 2020, 2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS).

[46]  Behzad Moshiri,et al.  Applying Adaptive Network-based fuzzy Inference System to Predict Travel Time in Highways for Intelligent Transportation Systems , 2016 .

[47]  Uttam Ghosh,et al.  Industrial Internet of Things and its Applications in Industry 4.0: State of The Art , 2021, Comput. Commun..

[48]  K. B. Letaief,et al.  A Survey on Mobile Edge Computing: The Communication Perspective , 2017, IEEE Communications Surveys & Tutorials.

[49]  A. Sedaghat,et al.  Feasibility of Highway Energy Harvesting Using a Vertical Axis Wind Turbine , 2018 .

[50]  Naeem Abas,et al.  Intelligent street light system in context of smart grid , 2017, 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT).

[51]  Mohsen Guizani,et al.  Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[52]  J.-Carlos Baraza-Calvo,et al.  Proposal of an Adaptive Fault Tolerance Mechanism to Tolerate Intermittent Faults in RAM , 2020, Electronics.

[53]  Yuhao Kang,et al.  Towards feasibility of photovoltaic road for urban traffic-solar energy estimation using street view image , 2019, Journal of Cleaner Production.

[54]  S. Mauro,et al.  Smart city governance: exploring the institutional work of multiple actors towards collaboration , 2019, International Journal of Public Sector Management.

[55]  Miaowen Wen,et al.  Emerging Technologies for 5G-IoV Networks: Applications, Trends and Opportunities , 2020, IEEE Network.

[56]  Medhat Awadalla,et al.  Development of an IoT based real-time traffic monitoring system for city governance , 2020 .

[57]  A D Redmond,et al.  Are pre-hospital deaths from accidental injury preventable? , 1994, BMJ.

[58]  William J Horrey,et al.  On-board safety monitoring systems for driving: review, knowledge gaps, and framework. , 2012, Journal of safety research.

[59]  Edmundo Roberto Mauro Madeira,et al.  Traffic management systems: A classification, review, challenges, and future perspectives , 2017, Int. J. Distributed Sens. Networks.

[60]  Jingfeng Yuan,et al.  From digital to sustainable: A scientometric review of smart city literature between 1990 and 2019 , 2020 .

[61]  Wang Yaqiong,et al.  An “Illumination Moving with the Vehicle” Intelligent Control System of Road Tunnel Lighting , 2020, Sustainability.

[62]  Tamitza Toroyan,et al.  Global status report on road safety , 2009, Injury Prevention.

[63]  Enrique Alba,et al.  Smart City and information technology: A review , 2019, Cities.

[64]  Natalia Casado-Sanz,et al.  Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective , 2020, Sustainability.

[65]  Virender Ranga,et al.  An IoT-VANET-Based Traffic Management System for Emergency Vehicles in a Smart City , 2018 .

[66]  Tarek Sheltami,et al.  UAV-enabled intelligent traffic policing and emergency response handling system for the smart city , 2020, Personal and Ubiquitous Computing.

[67]  Se Yeong Jeong,et al.  A lever-type piezoelectric energy harvester with deformation-guiding mechanism for electric vehicle charging station on smart road , 2021 .

[68]  Anita Gehlot,et al.  An imperative role of sun trackers in photovoltaic technology: A review , 2018 .

[69]  Alex Koohang,et al.  The Internet of Things: Review and theoretical framework , 2019, Expert Syst. Appl..

[70]  Tibor Sipos,et al.  Modelling of accidents for four lane non-urban highways using artificial neural networks technique , 2020, 2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI).

[71]  Chao Wang,et al.  Design of Traffic Emergency Response System Based on Internet of Things and Data Mining in Emergencies , 2019, IEEE Access.

[72]  Mohammad Shahidehpour,et al.  A Hierarchical Framework for Intelligent Traffic Management in Smart Cities , 2019, IEEE Transactions on Smart Grid.

[73]  Ali Movahedi,et al.  Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis. , 2019, Accident; analysis and prevention.

[74]  M. Khayesi,et al.  Pattern of road traffic injuries in Lublin County, Poland. , 2012, Central European journal of public health.

[75]  Simon Elias Bibri,et al.  The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability , 2018 .

[76]  José Eugenio Naranjo,et al.  Deep Learning Framework for Vehicle and Pedestrian Detection in Rural Roads on an Embedded GPU , 2020, Electronics.

[77]  Adrian Barbu,et al.  Prediction of the crack condition of highway pavements using machine learning models , 2019 .