Image Processing in Intelligent Traffic Management

Abstract

Traffic monitoring and traffic control have always been challenging tasks. Intelligent Transportation Systems (ITS) based on wide range of technologies have certain practical challenges in their application and implementation. Video surveillance has proven advantageous over traditional systems based on inductive loops sensors and detectors for traffic monitoring. Accurate traffic density estimation which is basic to tackling traffic congestions requires detection of vehicles, assessing their speed, and tracking vehicles passing through surveillance zones. Image processing techniques require processing of large number of image frames for real-time applications in traffic management. More efficient and less costly image processing techniques for accurate vehicle detection and density determination are required for developing more effective traffic management systems. There is a need for developing algorithms with robust performance under heavy traffic loads and varied environmental conditions. Developments in artificial intelligence offer new vistas in image processing for regulation and management of traffic by signal control mechanisms and creation of neural networks for unhindered traffic flow.

Real-time Road Traffic Data Monitoring using Novel Leaky-Wave Antennas in a Connected and Autonomous Vehicles Environment

“…Antennas play a critical role as essential components for establishing robust wireless connectivity, enabling seamless transmission of data between vehicles, infrastructure, and central control systems (11)(12)(13)(14). While some systems have relied on radar-based technology for decades to monitor vehicle speed on road (5) the emergence of 5G technology further amplifies the importance of using new innovative solutions such as beam-scanning antennas. These antennas offer higher bandwidth, lower latency, and increased data transmission capacity (15).…”

A Review and Analysis of Traffic Data Sources

“…The use of unmanned aerial vehicles (UAVs) has also become widespread [6][7][8]. These elements make up an intelligent transportation system (ITS), an integrated system that implements existing or emerging computer, communication, information, and vehicle-sensing technologies [9] to coordinate transportation systems, monitor traffic conditions, control the traffic flow, and provide information about traffic conditions to the public [1,10]. The implementation of road traffic monitoring systems appears appropriate for increasing traffic safety levels, for responding to multiple needs in territory management and for developing appropriate local policies and strategies.…”