Survey on Various Intelligent Traffic Management Schemes for Emergency Vehicle

Traffic congestion on city road networks is one of the main issues to be addressed by todays traffic management schemes. Traffic congestion on city roads many times leads to delay in emergency services (i.e. Ambulance, Firefighter, Police, etc.). A survey on various traffic management schemes specifically designed to help emergency vehicle has been presented in this pap er. Traffic management schemes used currently and their limitations have been discussed. Researchers have used several techniques such as Embedded Systems, Wireless Sensors Network, Intelligent Ambulance and Image Processing for traffic management. These techniques have been discussed thoroughly and comparative analysis has been made

Wireless communication, identification and sensing technologies enabling integrated logistics: a study in the harbor environment

In the last decade, integrated logistics has become an important challenge in the development of wireless communication, identification and sensing technology, due to the growing complexity of logistics processes and the increasing demand for adapting systems to new requirements. The advancement of wireless technology provides a wide range of options for the maritime container terminals. Electronic devices employed in container terminals reduce the manual effort, facilitating timely information flow and enhancing control and quality of service and decision made. In this paper, we examine the technology that can be used to support integration in harbor's logistics. In the literature, most systems have been developed to address specific needs of particular harbors, but a systematic study is missing. The purpose is to provide an overview to the reader about which technology of integrated logistics can be implemented and what remains to be addressed in the future

Video Surveillance for Road Traffic Monitoring

This project addresses the improvement of the current process of road traffic monitoring system being implemented in Malaysia. The current monitoring system implies video feeds from a particular road to a place where there will be personnel monitoring the traffic condition. The personnel will then manually update the traffic condition to various radio and television networks throughout the country to be broadcasted. FM radio is a famous channel for traffic updates since every vehicle is equipped with one. This project will provide a real-time update of the current traffic condition

Traffic Congestion Detection System Using Wireless Sensor Network

Traffic congestion has been a problem for a long time. It is known that traffic congestion would cause delays, high fuel consumption and high pollution index. In order to avoid high levels of road traffic congestion, a reliable and accurate detection system is needed. By using traffic parameters such as speed and density of vehicles the road, an application of Wireless Sensor Network (WSN) could be utilised. The evaluation of the road traffic congestion detection system includes the presence of congestion and the level of congestion itself. This detection system will be implemented on a scaled-down prototype/modelling in order to test the effectiveness

Digitization of the entire traffic system and mitigation of the ongoing traffic crisis across cities of developing nations

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2015.This paper focuses on a novel approach for handling the present traffic situation in perspective of Bangladesh. We plan to moderate the ongoing traffic predicament that currently plagues Dhaka city and gradually expand it to the whole country. Road traffic congestion is apparently a borderless ordeal in Dhaka and its adjacent cities and the situation tends to worsen as new cars enter the current stream every day. The aim of the paper is to develop a threefold solution to counter the traffic clogging. The approach taken during the course of this research focused primarily on an experimental evaluation of the small-scale model of the traffic routing algorithms. Among the threefold solution, the first approach is to develop a traffic algorithm to calculate the routes with shortest possible times to destinations. We plan to implement the system‟s usability by providing feedback to our target users (car drivers) so that they can decide on which route to take. This will be done by means of an overhead display on the car dashboards backed up by an embedded OS or Android. For our input we plan to take the amount of cars that are at any specific route at a time and provide that data to the car driver by the means of modern vehicle density measurement techniques. Travelling times are calculated using Dijkstra‟s algorithm and the shortest possible time required is provided to the commuters taking into consideration the situation of the roads at any point of time. The second approach is to make use of 24-hour Dynamic Traffic Light Controllers (DTLCs) based on artificial neural networks. The DTLC will be implemented using the Intel NUC in conjunction with the Arduino Mega. The decision making algorithm is designed to replicate, in a meager form, the human brain with the system trained to learn to respond to certain traffic situations. At present the BRTA (Bangladesh Road Transport) employs Static Traffic Light Controllers (STLCs) to handle traffic flow at some intersections while other, less important, ones have manual control in the form of the traffic officer in charge

Road Traffic Management using Vehicle-to- Everything (V2X) Communication

Traffic congestion is the primary concern in dense cities; while the increased number of automobiles is becoming uncontrollable in some cities, it is more challenging to manage or change how people use cars. To contribute to solving traffic congestion in cities, this project examines the study of transferring vehicles to be competent in a way that can help the government entities analyze the received vehicles’ data and for better decisions on reducing traffic congestion as well as the real-time monitoring of traffic wherever it is located using the Vehicle-to-Everything (V2X) communication methodology. This study proposes a hardware “system” that can be attached to any vehicle to collect real-time data from vehicles and communicate with the Road and Transportation Authority. The hardware system, however, is connected to the cars through a wireless On-Board Diagnostics (OBD) connection in favor of collecting all the necessary information from the vehicle, such as the car speed and Revolutions Per Minute (RPM) data. On the other hand, a GPS sensor is used to inquire about the vehicle’s location, a GSM module to make sure the device is always connected to the internet for data transmission, a LiDAR sensor for distance and safety measurement, and a camera module accessed only by the driver for object detection such as cars, pedestrians, traffic signs, damaged roads, and road hazards. Moreover, system updates and maintenance can be done remotely to reduce the number of visits to the traffic department since all devices are to be connected to a single platform. As a result, it was possible to create a prototype for a single vehicle, including the sensors mentioned above, returning valuable data that include vehicle speed and exact location, which will help future researchers develop an application platform to monitor and track traffic congestion in real time

Internet of things-based framework for public transportation fleet management in the Free State

Thesis (Masters: Information Technology) -- Central University of Technology, Free State, 2019The poor service delivery by the Free State public transportation system inspired us to design a framework solution to improve the current system. This qualitative study focuses on improving the management of the public transportation fleet. One of the most recently developed technologies in Information and Communication Technology (ICT), namely the Internet of Things (IoT), was utilised to develop this framework. Existing problems were identified through research observations, analyses of the current system, analyses of the current problem areas, as well as participants’ questionnaire answers and recommendations, the participants being the passengers, drivers and vehicle owners. The framework was developed in two phases, namely a hardware phase that makes use of ICT sensors (e.g. RFID, GPS, GPRS, IR, Zigbee, WiFi), and a software phase that uses an internet connection to communicate with the different ICT devices. The software utilised a Graphic User Interface (GUI) to ensure that the software is user-friendly and addresses possible problems and barriers such as multiple language interfaces and different ICT skills levels. The newly designed framework offers different services and solutions to meet the participants’ needs, such as real-time tracking for public transport vehicles to help passengers manage their departure and arrival times, as well as for vehicle owners to monitor their own vehicles. In turn, vehicle arrival notifications will encourage passengers to be on time so that vehicles will not be delayed unnecessarily. Another feature is counting devices that can be installed inside the vehicles, which will inform vehicle owners how many passengers are being transported by a vehicle. The passenger pre-booking system will support the drivers when planning their trips/routes. Finally, the framework was designed to fulfil all the participants’ needs that were indicated in the questionnaires in order to achieve the goal of the research study

Video Surveillance for Road Traffic Monitoring

This project addresses the improvement of the current process of road traffic monitoring system being implemented in Malaysia. The current monitoring system implies video feeds from a particular road to a place where there will be personnel monitoring the traffic condition. The personnel will then manually update the traffic condition to various radio and television networks throughout the country to be broadcasted. FM radio is a famous channel for traffic updates since every vehicle is equipped with one. This project will provide a real-time update of the current traffic condition

Wireless networks for traffic light control on urban and aerotropolis roads

This paper presents a traffic lights system based on wireless communication, providing a support infrastructure for intelligent control in smart cities and aerotropolis scope. An aerotropolis is a metropolitan subregion which infrastructure is centered around an airport [1]. Traffic intensity is increasing all over the world. Intelligent dynamic traffic lights system control are sought for replacing classic conventional manual and time based systems. In this work a wireless sensors network is designed and implemented to feed real time data to the intelligent traffic lights systems control. A physical prototype is implemented for experimental validation outside laboratory environment. The physical prototype shows robustness against unexpected issues or local failures. Results are positive in the scope of the experiences made and promising in terms of extending the tests to larger areas

Travel Time Prediction under Mixed Traffic Conditions Using RFID and Bluetooth Sensors

Travel time information is an integral part in various ITS applications such as Advanced Traveler Information System, Advanced Traffic Management Systems etc. Travel time data can be collected manually or by using advanced sensors. In this study, suitability of Bluetooth and RFID (Radio Frequency Identifier) sensors for data collection under mixed traffic conditions as prevailing in India is explored. Reliability analysis was carried out using Cumulative Frequency Diagrams (CFDs) and buffer time index along with evaluation of penetration rate and match rate of RFID and Bluetooth sensors. Further, travel time of cars for a subsequent week was predicted using the travel time data obtained from RFID sensors for the present week as input in ARIMA modeling method. For predicting the travel time of different vehicle categories, relationships were framed between travel time of different vehicle categories and travel time of cars determined from RFID sensors. The stream travel time was then determined considering the travel time of all vehicle categories. The R-Square and MAPE values were used as performance measure for checking the accuracy of the developed models and were closer to one and lower respectively, indicating the suitability of the RFID sensors for travel time prediction under mixed traffic conditions. The developed estimation schemes can be used as part of travel time information applications in real time Intelligent Transportation System (ITS) implementations