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Smart Traffic Management System for Metropolitan Cities of Kingdom Using Cutting Edge Technologies.
Publication Type: Academic Journal
Source(s): Journal of Advanced Transportation. 9/29/2022, p1-13. 13p.
Abstract: The expansion of technology in metropolitan centers draws people to cities, which causes excessive traffic on the roadways during peak hours. This exacerbated the traffic situation, resulting in a delay, a loss of resources, and a waste of time. Like a...
Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction.
Publication Type: Academic Journal
Source(s): Transportation Planning & Technology. Mar2023, Vol. 46 Issue 2, p182-199. 18p.
Abstract: Traffic volume data collected by radar detector contain inherent types of errors that are hard to observe. Therefore, the identification of missing data and outliers based on reliable verification volume data is essential, and the development of a meth...
Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring.
Publication Type: Academic Journal
Source(s): Journal of Advanced Transportation. 5/5/2022, p1-9. 9p.
Abstract: Intelligent transportation infrastructure has gained significant research attention recently. In this paper, an innovative sensor network of smart road stud (SRS) is developed to enhance traffic detection infrastructure characterized by its functionali...
Research on coordinated control of vehicle's speed in new mixed traffic flow.
Publication Type: Academic Journal
Source(s): Journal of Intelligent Transportation Systems. 2022, Vol. 26 Issue 6, p704-716. 13p.
Abstract: The emerging intelligent connected technology provides conditions for obtaining the trajectory of vehicles. To reduce the adverse effects of stop-and-go vehicles in the bottleneck section of expressways, a strategy of coordinated speed control based on...
Optimization of multi-type sensor locations for simultaneous estimation of origin-destination demands and link travel times with covariance effects.
Publication Type: Academic Journal
Source(s): Transportation Research Part B: Methodological. Dec2022, Vol. 166, p19-47. 29p.
Abstract: This paper investigates the multi-type traffic sensor location problem for simultaneous estimation of origin-destination (OD) demands and link travel times while also considering the two sources of spatial covariance effects on a road network with unce...
Front-tracking transition system model for traffic state reconstruction, model learning, and control with application to stop-and-go wave dissipation.
Publication Type: Academic Journal
Source(s): Transportation Research Part B: Methodological. Dec2022, Vol. 166, p212-236. 25p.
Abstract: Connected and Autonomous Vehicles is a technology that will be disruptive for all layers of traffic control. The Lagrangian, in-the-flow nature of their operation offers untapped new potentials for sensing and actuation, but also presents new fundament...
A Real-Time Object Detector for Autonomous Vehicles Based on YOLOv4.
Publication Type: Academic Journal
Source(s): Computational Intelligence & Neuroscience. 12/10/2021, p1-11. 11p.
Abstract: Object detection is an important part of autonomous driving technology. To ensure the safe running of vehicles at high speed, real-time and accurate detection of all the objects on the road is required. How to balance the speed and accuracy of detectio...
A High-Precision Vehicle Detection and Tracking Method Based on the Attention Mechanism.
Publication Type: Academic Journal
Source(s): Sensors (14248220). Jan2023, Vol. 23 Issue 2, p724. 20p.
Abstract: Vehicle detection and tracking technology plays an important role in intelligent transportation management and control systems. This paper proposes a novel vehicle detection and tracking method for small target vehicles to achieve high detection and tr...
Direct Usage of Occupancy Data for Multiregime Speed-Flow Rate Models.
Publication Type: Academic Journal
Source(s): Journal of Transportation Engineering. Part A. Systems. Jan2023, Vol. 149 Issue 1, p1-13. 13p.
Abstract: Early macroscopic traffic flow models were based on observations of volume, speed, and density. The invention of traffic sensors has supplied a wealth of data for the development of more accurate macroscopic flow models. However, traffic sensors typica...
An Automatic Incident Detection Method for a Vehicle-to-Infrastructure Communication Environment: Case Study of Interstate 64 in Missouri.
Publication Type: Academic Journal
Source(s): Sensors (14248220). Dec2022, Vol. 22 Issue 23, p9197. 17p.
Abstract: Transportation agencies continuously and consistently work to improve the processes and systems for mitigating the impacts of roadway incidents. Such efforts include utilizing emerging technologies to reduce the detection and response time to roadway i...