Intelligent Traffic Control with Smart Speed Bumps

2019

As the world population and the traffic demand are constantly inflating, there is a substantial need to procure a safe and effective method for traffic control and management. Thus, traffic signals operate to manage the flow of vehicles and vulnerable road users through intersections. Intelligent Transport Systems (ITS) technologies based on vehicle connectivity and information exchange may overcome the cons of fixed‐time traffic signals in coping with the unplanned traffic stream. The roadmap for operating connected vehicles in an urban environment is still in the planning phase and in order to achieve sustainable results, a proper management technique must control the flow of vehicles. Green Light Optimal Speed Advisory (GLOSA) utilizes infrastructure and vehicles communication through using current signal plan settings and updated vehicular information in order to influence the intersection approach speeds. This thesis presents a traffic microsimulation study that investigates th...

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2025

This paper presents a Smart Traffic Management Alert System (STMAS) designed to improve emergency medical response time in urban environments by leveraging Internet of Things (IOT) technology. The system addresses the critical delays ambulances face due to conventional, fixed-time traffic signal patterns that fail to adapt to real-time emergency needs. Our approach integrates GPS-enabled ambulance tracking, microcontroller-based traffic signal control, cloud-based data processing, and digital display boards to ensure prioritized passage for emergency vehicles. When an ambulance is detected within a predefined radius of an intersection, the system first activates LED display boards with warning messages to alert nearby drivers and pedestrians. Once the path is cleared, the corresponding traffic signal is switched to green in the ambulance's direction. Tests and simulations show that the system can greatly reduce the time ambulances spend in traffic and improve coordination between emergency services and traffic control. This determining the patient's chances of survival. Unfortunately, traditional traffic control systems, which are based on fixed-time signal patterns, lack the flexibility to adapt to real-time traffic conditions or prioritize specific vehicles. As a result, ambulances often face unnecessary delays while navigating through crowded intersections, even when their journey is time-critical. These delays can be the difference between life and death, highlighting the urgent need for an intelligent, responsive traffic management system. The advancement of the Internet of Things (IoT), cloud computing, and real-time data analytics has opened up new opportunities to address these challenges. IoT makes it possible for devices and systems to share data instantly, allowing traffic lights, sensors, and emergency vehicles to communicate project adds to the field of intelligent transportation systems (ITS) by offering an automated, scalable, and dependable solution for giving priority to emergency vehicles, which can help save more lives in critical situations.

Journal of Telecommunication, Electronic and Computer Engineering, 2023

The Malaysian Police Force requires technological advancement to keep up with the highway thugs and illegal racers. The primary objective of this project is to deter unethical activities on the road. Thus, a simple speed sensor detection utilizing an Infra-red (IR) sensor is designed. The project leverages a NodeMCU ESP8266 microcontroller, an IR sensor detector, and Blynk application platform for controlling and monitoring using smart phone. The system operates when a vehicle or object passes the IR sensor. After detection, both Liquid Crystal Display (LCD) display and Blynk application will show the vehicle's speed. If the vehicle exceeds the speed limit, NodeMCU will notify the user's device, alerting them to the speeding vehicle. This innovative system offers several advantages to authorities compared to traditional methods of addressing road rage incidents. It enables prompt action and resolution of cases, ultimately contributing to safer road conditions and improved law enforcement capabilities.

Journal of Computer Science, 2021

The on-road traffic increases due to the exponential growth of the number of vehicles on the road. That leads to undesirable road conditions and makes urban population life uncomfortable. It includes traffic congestion, traffic jams and long queues at traffic signals and toll booths. Many people violate road traffic rules and regulations rules every day. Manual human effort and supervision are not enough to resolve these issues. Still, many road traffic managements follow the traditional approach, which results increase in road accidents that makes humans seriously injured and even loss of life. To address these issues, we have proposed four strategies as (1) congestion status on square, (2) efficient toll tax collection, (3) fine collection on road for the people who violate road traffic rules, (4) shortest pathfinder for drivers. This research work mainly focuses on the various strategies and their implementation with the help of the Map-Reduce framework. We have combined video surveillance, big data analytics algorithm and proposed an innovative way to manage and handle the road traffic.

International Journal of Online and Biomedical Engineering (iJOE)

With the tremendous technological progress and the widespread use of a variety of technologies, we note how smart cities are providing services efficiently by using technologies. The aim of this project is to build a Smart Traffic Control System (STCS) to facilitate and optimize traffic flow, minimize traffic congestion, and reduce the waiting time by detecting the density on each street. This work has been carried on four phases. Firstly, collecting data by a questionnaire and we received 331 responses. Secondly, using Proteus simulation. Thirdly, building a low fidelity prototype, and fourthly: building the STCS model by using hardware (Arduino tools) and software (Arduino Software IDE). Finally, we learned how to build a system and we recommend using such a system in busy roads to reduced congestion and making traffic flow more efficient.

Information and Communication Technology for Competitive Strategies, 2018

The transportation management system is becoming an overwhelming task across the globe due to Globalization and population growth. Increased traffic congestion poses several problems. The extended waiting time at traffic jam leading to air and noise pollution due to the amassed vehicle is a serious threat to human health and the environment. This situation aggravates the clearance of any emergency vehicle resulting in grave consequences for the patient. A better control over the transportation system can be achieved through the Internet of Thing (IoT) based smart infrastructure. To deal with such emergency situations, this paper proposes a framework for automatic emergency vehicle clearance system. Traffic signal dynamically suspends the routine movement of traffic flow to create a "Green Corridor" to pass the ambulance without any delay at the traffic junctions. IoT based RFID tag and reader at vehicle and traffic junction respectively is used to identify the ambulance at the traffic junction. The work is simulated in SUMO and detection of RFID is analyzed in NS2 with the integration of SUMO. Considering the criticality of the issue, a simulation of the proposed work does not suffice. Therefore to check the robustness of the proposed system, it has been tested in a laboratory environment. The average reduction in travel time for five different simulations for an emergency vehicle from source to destination is 254.6%, which is substantial.

2017

Traffic congestion in road networks is one of the main issues to be addressed, also vehicle traffic congestion and monitoring has become one of the critical issues in road transport. With the help of Intelligent Transportation System (ITS), current information of traffic can be used by control room to improve the traffic efficiency. The suggested system utilize technologies for real-time collection, organization and transmission of information to provide an efficient and accurate estimation of traffic density which can be exploited by traffic-aware applications. So, the proposed architecture of Vehicle Traffic Congestion Control & Monitoring System in IoT would perform well. A short overview of the main currently used traffic control methods for freeways will be explained. A sensor array is a group/collection of sensors, usually it is deployed in a certain geometry pattern. So, efficiency of congestion in traffic will improve. The tangible Internet of Things (IoT) based service models...

Future Internet

The violation traffic laws by driving at high speeds, the overloading of passengers, and the unfastening of seatbelts are of high risk and can be fatal in the event of any accident. Several systems have been proposed to improve passenger safety, and the systems either use the sensor-based approach or the computer-vision-based approach. However, the accuracy of these systems still needs enhancement because the entire road network is not covered; the approaches utilize complex estimation techniques, and they are significantly influenced by the surrounding environment, such as the weather and physical obstacles. Therefore, this paper proposes a novel IoT-based traffic violation monitoring system that accurately estimates the vehicle speed, counts the number of passengers, and detects the seatbelt status on the entire road network. The system also utilizes edge computing, fog computing, and cloud computing technologies to achieve high accuracy. The system is evaluated using real-life ex...

Urban Development, 2012

Electronics

Recently, there has been a huge spike in the number of automobiles in the urban areas of many countries, particularly in India. The number of vehicles are increasing rapidly and with the existing infrastructure, the traffic systems stand still during peak hours. Some of the main challenges for traffic management are the movement of overloaded vehicles beyond their restricted zone and time, reckless driving, and overlooking road safety rules. This paper proposes an Internet of Things (IoT)-based real-time Intelligent Traffic Signal System (ITSS), which consists of inductive loops and a programmable micro-controller to determine traffic density. Inter-communication in the centralized control unit sets the timer of the traffic light and synchronizes with the traffic density in real-time for smooth mobility of vehicles with less delay. Additionally, to prioritize emergency vehicles over other vehicles in the same lane, a pre-emption mechanism has been integrated through infrared sensors...