A Three-Stage Cellular Automata Model of Complex Large Roundabout Traffic Flow, with a Flow-Efficiency- and Safety-Enhancing Strategy DOI Creative Commons
Xiao Liang, Chuan-Zhi Xie, Huifang Song

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(23), P. 7672 - 7672

Published: Nov. 30, 2024

Intelligent transportation systems (ITSs) present new opportunities for enhanced traffic management by leveraging advanced driving behavior sensors and real-time information exchange via vehicle-based cloud-vehicle communication technologies. Specifically, onboard can effectively detect whether human-driven vehicles are adhering to directives. However, the formulation validation of effective strategies vehicle implementation rely on accurate models reliable model-based testing; in this paper, we focus large roundabouts as research scenario. To address this, proposed Three-Stage Cellular Automata (TSCA) model based empirical observations, dividing journey over into three stages: entrance, following, exit. Furthermore, four optimization were developed observations simulation results, using efficiency, delay time, dangerous interaction frequency key evaluation indicators. Numerical tests reveal that interactions delays primarily occurred when roundabout Road Occupancy Rate (ρ) ranged from 0.12 0.24, during which times speed also decreased rapidly. Among strategies, Path Selection Based Recognition Strategy (Simulation 4) demonstrated best overall performance, increasing efficiency 15.65% while reducing interactions, 6.50%, 28.32%, 38.03%, respectively. Additionally, Entrance Facility Optimization 1) reduced time 6.90%. While space-based had a more moderate impact, they significantly improved local at approximately 25.04%. Our findings hold significant practical value, particularly with support sensors, non-compliance provide warnings guide drivers prescribed strategies.

Language: Английский

Road to Efficiency: V2V Enabled Intelligent Transportation System DOI Open Access
Muhammad Ali Naeem, Sushank Chaudhary,

Yahui Meng

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(13), P. 2673 - 2673

Published: July 8, 2024

Intelligent Transportation Systems (ITSs) have grown rapidly to accommodate the increasing need for safer, more efficient, and environmentally friendly transportation options. These systems cover a wide range of applications, from control management self-driving vehicles improve mobility while tackling urbanization concerns. This research looks closely at important infrastructure parts vehicle-to-vehicle (V2V) communication systems. It focuses on different types architectures that are out there, including decentralized mesh networks, cloud-integrated hubs, edge computing-based architectures, blockchain-enabled hybrid cellular ad-hoc AI-driven dynamic networks. review aims critically analyze compare key components these with their contributions limitations. Finally, it outlines open challenges future technological advancements, encouraging development robust interconnected V2V in ITSs.

Language: Английский

Citations

5
Vehicle-to-vehicle wireless communication protocols: from bibliometric analysis to a conceptual framework and future research directions DOI
Nadia Karina Gamboa-Rosales,

José Ricardo López-Robles

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 469 - 489

Published: Jan. 1, 2025

Language: Английский

Citations

0
Energy Efficient LoRa‐Based AIoT Setup for Human Movement Classification DOI Open Access

H S Ganesha,

Rinki Gupta, Sindhu Hak Gupta

et al.

Transactions on Emerging Telecommunications Technologies, Journal Year: 2025, Volume and Issue: 36(4)

Published: March 19, 2025

ABSTRACT In healthcare, artificial intelligence of things (AIoT) enhances patient care, diagnostics, and operational efficiency by integrating intelligent data analysis with medical devices. This research develops an energy‐efficient AIoT setup for real‐time hand movement categorization. The proposed consists edge device (Arduino Nano 33 BLE Sense Rev2 Long Range [LoRa] Ra‐02), a gateway (ESP‐32 LoRa the ThingSpeak Internet Things (IoT) platform. is made energy efficient characterizing its performance without obstacles between gateway. For each such scenario, parameters, bandwidth (BW), spreading factor (SF) are varied, connectivity evaluated in terms signal‐to‐noise ratio (SNR) received signal strength indicator (RSSI). From experimental results, it has been observed that obstacle‐free environment, SNR RSSI depict best values when SF 7 or 8 BW 500 kHz. With as two walls gateway, obtained at 10 11 125 Arduino was used to record accelerometer eight activities, convolutional neural network (CNN) classify them average accuracy 95.32%. movements considered here useful rehabilitation applications. work reveals scenario‐based parameter selection computing improve setup, which may be classification.

Language: Английский

Citations

0
Investigating Reskilling And Up-Skilling Efforts In The Information Technology And Software Development Sector: A Case Study Of Kano State, Nigeria DOI Open Access

Mr. Aliyu Mohammed

Published: May 6, 2024

This work entails a research on retraining and retooling programs in Kano State, Nigeria for IT/Software Development (IT/SWD) sector establishes the main criteria of effectiveness upskilling IT industry. The study made comprehensive assessment repurposing as two fronts where specialists will be challenged to re-tool their competencies enable them remain competitive labour market State. Furthermore, this develop methods educational enhancement reskilling upskilling, which compatible with changing dynamics technology State labor market. makes use quantitative method looks at functionalities initiatives far IT/SWD job industry is concerned. 600 employees Software taken from six institutions were surveyed by stratified random sampling method. sample size was calculated using estimated proportion population given confidence 95% 5% margin error, assuming range 50% response. completion rate particular survey 96.4% so 250 returned valid responses 241. Data collected through online self-administered questions, information sought respondents' demographics, current skills, participation training programs, future career goals. result shows that overwhelmingly are having positive perception towards initiatives. government policies did not receive most favorable rating it rated neutrally average score 3.95, while funding availability technological advancements perceived positively mean scores 4.20 4.35 respectively. An index 4.15, corresponding high demand skilled workers, showed direction. Ongoing corporate reskilling, gained 4.45, demonstrate active involvement organizations. Workable approaches industries following: these continuous training, customizing suit company's needs, promoting culture learning, working together institutions, monitoring program performance. It can implied execution recommendations make workforce more able, business entities effective organizational context, state

Language: Английский

Citations

1
Solar Street Lighting Revolution: A Sustainable Approach Enabled by AIoT and Smart Systems DOI
Saadaldeen Rashid Ahmed, Taha A. Taha, Sulaiman M. Karim

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 378 - 390

Published: Jan. 1, 2024

Language: Английский

Citations

0
A Three-Stage Cellular Automata Model of Complex Large Roundabout Traffic Flow, with a Flow-Efficiency- and Safety-Enhancing Strategy DOI Creative Commons
Xiao Liang, Chuan-Zhi Xie, Huifang Song

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(23), P. 7672 - 7672

Published: Nov. 30, 2024

Intelligent transportation systems (ITSs) present new opportunities for enhanced traffic management by leveraging advanced driving behavior sensors and real-time information exchange via vehicle-based cloud-vehicle communication technologies. Specifically, onboard can effectively detect whether human-driven vehicles are adhering to directives. However, the formulation validation of effective strategies vehicle implementation rely on accurate models reliable model-based testing; in this paper, we focus large roundabouts as research scenario. To address this, proposed Three-Stage Cellular Automata (TSCA) model based empirical observations, dividing journey over into three stages: entrance, following, exit. Furthermore, four optimization were developed observations simulation results, using efficiency, delay time, dangerous interaction frequency key evaluation indicators. Numerical tests reveal that interactions delays primarily occurred when roundabout Road Occupancy Rate (ρ) ranged from 0.12 0.24, during which times speed also decreased rapidly. Among strategies, Path Selection Based Recognition Strategy (Simulation 4) demonstrated best overall performance, increasing efficiency 15.65% while reducing interactions, 6.50%, 28.32%, 38.03%, respectively. Additionally, Entrance Facility Optimization 1) reduced time 6.90%. While space-based had a more moderate impact, they significantly improved local at approximately 25.04%. Our findings hold significant practical value, particularly with support sensors, non-compliance provide warnings guide drivers prescribed strategies.

Language: Английский

Citations

0