Advanced Traffic Navigation Sysytem


The project focuses on the navigation system to navigate the speed breakers and potholes around the rain accumulated area by using navigation system, Global Positioning System(GPS) and Geographic Information System(GIS) software. Google maps changed the travel plan for last few years. Little bit enhancement of this navigation system can make travel plan more easier. In cities where heavy rain is possible suddenly queue of cars will come here and there were the rain accumulated , so if the navigation system enhanced with these information where rain accumulated ,commuters can plan to avoid these place in advance.

As a result they can save their time, fuel consumption, reduction of wear and tear of cars, reduction of human discomfort and unexpected accidents etc.,. It is proposed to carryout detailed survey about a city. Possible implementation/ application of this ADVANCE TRAFFIC NAVIGATION SYSTEM USING GIS SOFTWARE.

Index Terms vehicle navigation, geolocation information system.


Transportation capacities are a key reason for any area’s advancement and can give advantages to the general public.

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India is the second most crowded nation on the planet furthermore, a quickly developing economy, is known to have a monstrous system of streets. Streets are the predominant methods for transportation in India today. They convey just about 90 percent of nation’s traveller traffic and 65 percent of its cargo. In any case, the vast majority of the streets in India are limited and blocked with poor surface quality and street support needs are most certainly not tastefully met. Regardless of where you are in India, driving is a breath-holding, multi-reflect including, conceivably life compromising undertaking.

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In the course of the most recent two decades, there has been an enormous increment in the vehicle populace. This expansion of vehicles has prompted issues, for example, traffic clog and increment in the quantity of street mishaps. Woeful state of streets is a boosting factor for traffic blockage and mishaps.Streets in India ordinarily have speed breakers so the vehicle’s speed can be controlled to keep away from mishaps. In any case, these speed breakers are unevenly disseminated with uneven and informal statures. Potholes, framed because of overwhelming downpours and development of substantial vehicles, additionally become a noteworthy purpose behind awful mishaps and loss of human lives.

As per the overview report “Street Accidents in India, 2011”, by the service of street transport and thruways, a sum of 1,42,485 individuals had lost their lives because of deadly street mishaps. Of these, almost 1.5 percent or about 2,200 fatalities were because of poor state of streets. In India, more than 150,000 people are killed each year in traffic accidents. Figure 1 depicts the state of streets with executioner potholes. To address the previously mentioned issues, a financially savvy arrangement is required that gathers the data about the seriousness of potholes and bumps and furthermore encourages drivers to drive securely. With the proposed framework an endeavour has been made to underwrite drivers to avoid the mishaps caused because of potholes and raised protuberances.


The project have been dealing with pothole recognition methods. This segment gives a short portrait about the current answers for distinguishing potholes and uneven mounds on streets.

The algorithm keeps running on a portable stage (moving vehicles), which is introduced with accelerometer, GPS, near PC and a remote switch. The detected information is conveyed to the focal database utilizing essential passageways and optional passages which can be utilized for future preparing. Be that as it may, introducing remote switch and near PC on every single flexible stage and setting up passageways ends up being very costly.

When a vehicle get started ,the current location is gathered from the data base ,then the current location of the car and upcoming locations distance were computed if any potholes or un even mounts were identify which is in between 100 meters it generate notification then the driver can divert the car direction. Here we using four components, namely, PIC 16F877A microcontroller, Black-box Camera sensors, GPS recipient, GSM modem and QGIS.

Black-box camera can be developed using a pothole database, which requires a specific pothole-detection system that can collect pothole information at low cost and over a wide area. and this information is gotten by the microcontroller. The separation between vehicle body and the ground, on a smooth street surface, is the limit remove. Limit esteem relies upon the ground freedom of vehicles and can be arranged as needs be. On the off chance that the separation estimated by black box camera is more prominent than the edge, it is a pothole, in the event that it is littler, it is a mound else it is a smooth street. The QGIS software can make the mapping were the car’s current location.

Work Plan of QGIS:

  • Step 1:gathering of maps;
  • Step 2:examining of maps;
  • Step 3:georeferencing of examined maps;
  • Step 4:digitization of the street arrange;
  • Step 5:database creation;
  • Step 6: programming improvement in ArcView GIS.

We will show how to create a point shape file from text delimited GPS data in QGIS. In QGIS, text delimited file is an attribute table. Each separate column has a separate and defined data character, and each row is independent. The first row references column names. ACSV (Comma Separated Values) file is the most widely used type of text-delimited file, with each column separated by a comma. Longitude and latitude measurements should be in decimal degree (DD) format only. Other formats like degrees (d), minutes (m), and seconds (s) will result in errors. Note that GPS unit coordinates are not always pre-formatted to DD, hence where this is the case, conversion will be necessary. DD can be rapidly calculated in Excel using the formula below.


In this paper, we have presented Automatic location of potholes and uneven mounds and alarming independent vehicle, vehicle drivers and street specialists to maintain a strategic distance from potential problem. The given structure approach is a financial answer for location of horrible potholes and uneven mounds, as it utilizes just existing versatile sensors which is ease. The application utilized in this structure as it gives enthusiastic awareness about potholes and uneven mounds. This construction is proficient to works in rainy season when potholes are loaded up with sloppy water as alarms are produced utilizing the data gather in the database. We feel that the arrangement gave in this structure can gives compelling answer for self- handle vehicle for achieve goal spare numerous individuals and debilitated patients who experience the ill effects of difficulty.


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Advanced Traffic Navigation Sysytem. (2019, Dec 05). Retrieved from

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