Smart Movable Road Divider

DOI : 10.17577/IJERTCONV10IS11147

Download Full-Text PDF Cite this Publication

Text Only Version

Smart Movable Road Divider

Ravi Rayappa

Department of ECE Jain Institute of Technology, Davangere, Karnataka, India

Prathibha K L

Department of ECE, Jain Institute of Technology, Davangere, Karnataka, India

Sahana K

Department of ECE, Jain Institute of Technology, Davangere, Karnataka, India

Soujanya R

Department of ECE, Jain Institute of Technology, Davangere, Karnataka, India

Sushma K S

Department of ECE, Jain Institute of Technology, Davangere, Karnataka, India

Abstract: Road dividers are often used to divide the road further and closer traffic. This helps to maintain the continuity of traffic. In this case, there are an equal number of routes in both incoming and outgoing traffic. Be that as it may, in some areas, such as industrial or shopping malls for a large part of the broadcast a one way to the first half in the morning or at night and another road is unpaved. It consumes more time of the public and leads to time loss. It means assembling a smart road divider up to that point a moving or moving motor separator a method that links the rise of the acceleration hour grid. Such the type of traffic frame part sets the time as and fuel. It can include 1 other route based on traffic at a certain source. And very smart application listed below, hand-based reliance as well the relationship of manual traffic has diminished. ESP32, sensors and boards are used. The sensors are mounted on dividers heard the continuation of traffic according to which the divider moves to other lane having less traffic density. By using the separator upgrade, we can provide emergency vehicle traffic permit if required. It provides a high level of feedback on the road issue.

Keywords: – Road Divider, traffic density, ESP32, Ultrasonic Sensors, IR Sensors, DC motor, L298N motor driver.


    Countries around the world are facing a crisis over traffic congestion due to the increase in the number of vehicles. Despite the fact that the number of vehicles using the road has been increased, the stationary foundation is almost equal and cannot adapt to conditions such as confinement. The problem with the unmovable road divider is, it cant move towards less traffic density lane. This requires the optimal use of available assets as a number of accessible methods. To overcome this problem, we built a moving road divider that relied on the advancement of traffic. The sensors are used with the ESP32 to get information from sensors and use the ESP32 Bluetooth model to detect emergency vehicles and the way to get to the destination on time. For instance, road dividers with IR sensors. We see that there will be having high traffic density on one side of the road than the other. In this type of situation, it can be considered a controlled area due to the fact that it reduces traffic problems. And road divider moves in preference with emergency vehicle irrespective of traffic density. A moving road divider helps with road boundary planning, in order to

    achieve optimal profitability through the use of a current roadway. By using the separator upgrade, we can provide emergency vehicle traffic permit if required.


    Our idea is to calculate the robot tool an integrated road divider that can move the paths, so that we have a continuous number of routes to the run. Total the effect of time and fuel can be saved by adding one more way to control traffic congestion and make a way for the emergency vehicles to reach their destination in time so that it can save the lives. The smart request proposed below, will moreover get rid of relying on manually pleading and manual traffic communication for continuous monitoring of traffic anywhere in the city.


    In Reference [1], the paper reducing traffic congestion with the help of image processing. Here the signal poles were fixed with cameras and cameras can take a picture then processed it. After getting the image effects processing timer was determined by signal lights.

    In Reference [2], discussed how to reduce traffic density. Here PIR sensors were used to detect traffic congestion. Based on the results obtained time calculators for the red and the green lights were fixed.

    In Reference [3], the survey has been made on the road of western express near to Goregaon, Bombay. A10-lane road was selected having points of congestion. The west express highway has been selected to understand the current long- distance traffic status. Research is done 7.00am to 9.00pm, data collected from the above study was number of vehicles passing a road and velocity of vehicles. He concluded that the vehicles density was decreasing during peak hours.

    In Reference [4], it suggests a way to reduce traffic congestion using two standard and extended dividers. The author demonstrated the results in a single traffic using ultrasonic sensors, but in real time traffic congestion can be on more than one side.

    In Reference [5], a study was conducted covering the wagholi chowk traffic volume on the Pune-Nagar highway and indicating a major traffic problem in the area.

    In Reference [6] a review is provided on cost effectiveness using a moving road divider. Rate of congestion marked on the basis of fuel combustion in working hours, pollution and losses occur annually when the 2018 annual data is presented.

    The algorithm was designed for the performance of the IoT Traffic Signing System Based on Traffic Congestion [7], but the worst thing here was that traffic congestion data was not protected during the transmission of traffic signal control information.

    Reference [8] has a proposal using an IoT-based approach to analyzing traffic congestion. Photos are taken using a standard camera and analyzed using a cloud-based approach. The model was started using this method using raspberry pi and servo motors however the performance of this method is a major concern over the cost of its implementation.

    References [9] have suggested the use of a smart temporary detector that will fold in and out of the road. This approach utilizes RFID-based ambulance detection and recovery identification opens up emergency vehicle routes. This method seems very attractive because of the actual applications. But the implementation is very difficult.


    For the proposed program, a module contains an IR sensor used to measure traffic congestion. As the vehicle passes through the lane in which IR sensor mounted on the nearby road divider, the IR sensor make vehicles count and send information to ESP32. Based on the vehicle count, traffic jam determined on both sides of the divider. If there is a high traffic on the road that information displayed on the LCD display. Also, the lane to which the divider has to move is displayed. If there is no traffic congestion, then the road divider doesnt move.

    Fig 1: Block Diagram

    1. Calculating traffic congestion using an Infrared sensor

      Infrared sensors are mounted on a two-way street divider. They are used to calculate traffic congestion on both sides as a percentage. Infrared sensors take reading for a time that has been set and record the time when infrared radiations are reflected back by touching a vehicle. The infrared radiations reflection shows a vehicle passing by on the road and the time of reflection is equal to the vehicles count, the vehicles speed and the lanes count. The reflection count study obtained from both lanes is calculated to percentages. These are used to check high traffic congestion among the two

      lanes and then the separator moved to the loer side of the congestion.

    2. Processing data for road divider movement

    For the movement divider along road, this model calculates which lane of the barrier has high vehicles count. By looking at the vehicle density percentage on both sides, the model shows left and right lane traffic congestion on LCD display. based on this method direction divider movement has been displayed. Ultrasonic sensor is mounted on divider used in alerting system in the presence of a vehicle on its way and move it as safely as possible.

    C. Using Ultrasonic sensors determine obstacles while divider is moving

    If the traffic congestion percentage on both the two lanes is accessible then the divider initiates to move, it is required to check if there are any vehicles nearby for the movement of road divider. Ultrasonic sensor is used to find vehicles along the way to the divider movement and measure distance between the divider and the vehicles to restrict the movement of the divider all of a sudden to avoid accidents. If the vehicles are nearby to restrict the divider movement, the divider movement stops quickly then points vehicles to leave the way. As vehicles leave the way, the road divider moves on continuously until divider occupies the lane.

    D. Detection of emergency vehicles

    Emergency vehicles are mounted with the Esp32 Bluetooth module with sender MAC address and Esp32 Bluetooth module with receiver MAC address is mounted on the road divider. If the emergency vehicles stuck in traffic, the Esp32 sender MAC address matches with Esp32 receiver MAC address and divider moves to other lane to make a way for emergency vehicles to reach their destination in time to save lives.

    The proposed system is explained using flow chart is as shown in fig 2:

    Fig 2: Flow Chart


    The experiment was done on smart divider by prioritizing emergency vehicles and obtained the following results.

    Fig 3: High traffic density at right side of the lane

    Fig 4: LCD displaying traffic density

    Fig 5: Final divider position


The separator is called 'Smart' because it works on to get the vehicles count through the sensors thus sending a message to move the smart divider successfully. In short, the movable divider is able to manage and solve traffic congestion on one side of the road with the other side having less traffic congestion. This is proposed that the program offers a free and guaranteed ambulance system to reach its destination without delays and save lives. It also slows down travel time in higher hours and save time and fuel. Icon feasible, secure requirements, reduces cost of maintenance with a few limiting cables.


[1] Pranav Maheshwari, Deepanshu Suneja, Praneet Singh, Yogeshwar Mutneja, Smart traffic optimization using image processing,2015 IEEE 3rd International conference on MOOCs, Innovation and Technology in Education (MITE), ISBN: 978-1- 4673-9/15/$31.00, 2015 IEEE.

[2] Er. Faruk Bin Poyen, Amit Kumar Bhakta, B.Durga Manohar, Imran Ali, ArghyaSantra, AwanishPratap Rao, Density based traffic control, 2016 International journal of advanced engineering, management and science (IJAEMS) , vol-2, issue-8, Aug-2016, ISSN:2454-1311.

[3] B Durga Sri, K Nirosha, Sheik Gouse, Design and Implementation of Smart Movable Road Divider using IOT, International Conference on Intelligent Sustainable Systems, ICISS, 2017, pp 11451148

[4] Ch V A Satwik, L Pavan Kumar, K Vineeth and Kavitha N Pillai, Intelligent Road Management System for Daily Transit, International Conference on Communication and Signal Processing, City of Conference, ICCSP, 2018, pp 05230526

[5] Advait Kawle, Dhruv Shah, Kavin Doshi, Manish Bakhtiani, Yash Gajja, Pratibha Singh, Movable Traffic Divider: A Congestion Release Strategy, ISSN, vol. 5, pp. 2347- 2812, 2017.

[6] S.Jyothirmayee, G.Vamshi Krishna, J.Nanditha, B.Shashank Yadav, Controlling Of Traffic Using Movable Road Dividers, IJAERD-2018, vol. 5, issue.4, pp.2348-4470, IJAERD. April, 2018.

[7] Pallavi Kharat, Kapil Jadhav, Sanket Kamble, Ramdas Labade, Sanjay Labade, Traffic management system with the Movable divider and automatic barrier for Wagholi road, IJSDR, vol. 3, issue.6, pp. 2455-2631, IJSDR. June, 2018.

[8] Prof. Raju Bondre, Nikhil Vaidya, Prathamesh Rao, Gaurav Kapse, Viplav Chaudhary, Aniket, Shingne, A Review Paper on Movable Divider and Cost Efficiency, IRJET, vol. 7, issue. 2, pp.2395- 0056, IRJET. Feb, 2020.

[9] P. Prasanna Kumari, E.Sweety, Md.Hussain, K.Raju , G.Mamatha, Iot Based On Traffic Light Controller With Adaptive Traffic Density Monitoring System,IJECEC, vol. 4,issue. 2, pp. 2533- 8945, IJECEC. June, 2018.

[10] K. Vidhya, A. Bazila Banu, "Density Based Traffic Signal System ", Volume 3, Special Issue 3, March 2014.

[11] Al-Sobky, A.-S. A., & Mousa, R. M. (2016). Traffic density determination and its applications using smartphone. Alexandria Engineering Journal, 55(1), 513523.


[12] S. Ahn and M. J. Cassidy, Freeway traffic oscillations and vehicle lane change maneuvers, in Transportation and Traffic Theory 2007. Papers Selected for Presentation at ISTTT17, 2007.

[13] Kamal, M. A. S., Taguchi, S., & Yoshimura, T. (2015). Efficient vehicle driving on multilane roads using model predictive control under a connected vehicle environment. 2015 IEEE Intelligent Vehicles Symposium (IV). doi:10.1109/ivs.2015.7225772

[14] Palle, S. S., Vibha, H. B., Sriraksha, B. M., & Yeshashwini, A. (2019). Implementation of Smart Movable Road Divider and Ambulance Clearance using IoT. 2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT). doi:10.1109/rteict46194.2019.9016863.

[15] Rajeshwari Sundar, Santhoshs Hebbar, and Vara prasad Golla, Implementing intelligent Traffic Control System for Congestion Control, Ambulance Clearance, and Stolen Vehicle Detection" IEEE Sensors Journal, Vol. 15, No. 2, February 2018.