Intelligent traffic model for unmanned ground vehicles based on DSDV-AODV protocol

AM Ali, MA Ngadi, II Al_Barazanchi, PS JosephNg - Sensors, 2023 - mdpi.com
Traffic systems have been built as a result of recent technological advancements. In
application, dependable communication technology is essential to link any system needs …

[HTML][HTML] Artificial intelligence-based forecasting models for integrated energy system management planning: An exploration of the prospects for South Africa

S Krishnamurthy, OB Adewuyi, E Luwaca… - Energy Conversion and …, 2024 - Elsevier
The regional energy demand for Southern Africa has been predicted to increase by ten to
fourteen times between the years 2010 and 2070. Thus, to address the proliferation of …

[HTML][HTML] Urban traffic mobility optimization model: A novel mathematical approach for predictive urban traffic analysis

H Ulvi, MA Yerlikaya, K Yildiz - Applied Sciences, 2024 - mdpi.com
This research introduces the Urban Traffic Mobility Optimization Model (UTMOM), a data-
driven methodology for analyzing two distinctive urban traffic datasets through the …

Survey of decomposition-reconstruction-based hybrid approaches for short-term traffic state forecasting

Y Chen, W Wang, X Hua, D Zhao - Sensors, 2022 - mdpi.com
Traffic state prediction provides key information for intelligent transportation systems (ITSs)
for proactive traffic management, the importance of which has become the reason for the …

Cyber-physical system for smart traffic light control

S Deshpande, SJ Hsieh - Sensors, 2023 - mdpi.com
In recent years, researchers have proposed smart traffic light control systems to improve
traffic flow at intersections, but there is less focus on reducing vehicle and pedestrian delays …

Enhanced Traffic Congestion Management with Fog Computing: A Simulation-based Investigation using iFog-Simulator

A Elsayed, K Mohamed, H Harb - arXiv preprint arXiv:2311.01181, 2023 - arxiv.org
Accurate latency computation is essential for the Internet of Things (IoT) since the connected
devices generate a vast amount of data that is processed on cloud infrastructure. However …

Prior Knowledge-Augmented Broad Reinforcement Learning Framework for Fault Diagnosis of Heterogeneous Multiagent Systems

L Guo, Y Ren, R Li, B Jiang - IEEE Transactions on Cognitive …, 2023 - ieeexplore.ieee.org
A heterogeneous multiagent system (MAS) can easily experience unpredictable faults due
to its complex structure and involvement of different individuals. However, existing …

A multi-factor combined traffic flow prediction model with secondary decomposition and improved entropy weight method

G Li, H Deng, H Yang - Expert Systems with Applications, 2024 - Elsevier
Traffic flow (TF) prediction is vital in traffic systems. Aiming at the effect of noise on complete
ensemble empirical mode decomposition with adaptive noise (CEEMDAN), an improved …

Cooperative parking search strategy through V2X communications: an agent-based decision

MELA Ameur, H Drias, B Brik - Wireless Networks, 2023 - Springer
Finding parking spots in urban areas poses significant challenges due to the ever increasing
complexities of the transportation endeavor, resulting in issues like traffic jams, higher fuel …

Estimating the Measurement Uncertainty of the Number of Vehicles in a Car Park Using an Indirect Method

M Stawowy, A Rosiński, K Perlicki, G Wilczewski… - Applied Sciences, 2023 - mdpi.com
The main problem with counting vehicles in rest areas in Europe and America is the
overflowing of parking lots in the rest areas. Thus it is impossible to count parked vehicles …