Automated Accidental Precautions in Public Transportation Management System
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1 Automated Accidental Precautions in Public Transportation Management System Senthil Ganesh R #1, Vinoth Kumar K #2, Vijayagopal N #3, Prithvi Raj K #4, Mohanasundar R #5 1 Assistant Professor, Electronics and Communication Engineering, Info Institute of Engineering senthilganeshphd@gmail.com 2 UG Scholar,Electronics And Communication Engineering, Info Institute of Engineering vino22viva@gmail.com 3 UG Scholar, Electronics and Communication Engineering, Info Institute of Engineering vijaytalksnow@gmail.com 4 UG Scholar, Electronics and Communication Engineering, Info Institute of Engineering prithvir195@gmail.com 5 UG Scholar, Electronics and Communication Engineering, Info Institute of Engineering mohanaz120@gmail.com ABSTRACT: This paper aims at different types of transportation problems by presenting a proper management process to improve the public transportation management system. In modern era, the accidents and the indifference makes the major death rate, this is because of the lagging of immediate precautionary actions. In order to decrease the death rate and also to improve the immediate measures for the effect is proposed by using the method of IoT. In this system, every bus contains GPS to track the bus if it met with an accident, crash sensor and pressure sensor is also used to check whether the bus dashed with other vehicles or not and piezo sensor is to check if the bus roll down due to any mechanical failures. The level of accident at the hazardous weather that is, the wind flow at hills station makes an unstable condition for the transportation system. Basically, in hill areas the wind flowin every day is unpredictable one and a challengeable one. To avoid those risky factors, we implemented cruise control which accommodate the speed limit of the vehicles according to the pre-moving vehicles. Keywords: Gps, Crash Sensor, Piezo Sensor, Cruise Control, Public Transportation Management System ***** I. INTRODUCTION: The public transport system is the widely maintained as an active system in globally. According to the global population and the growth of the present population rate faces the insufficient and improper transportation system. Due to insufficient system the pupils are tends to overload in a bus. These actions cause the huge problem for the people and as well as government. Eventually in a year we face 45% of bus accident from that 35% and above accident are mostly leads to severe one. These 35% is nearly 4500 to 6000 people are died as shown in Fig 1. Fig1Comparison ofsafe, injured, deathpercentage of consecutive years. 99
2 The table shows the comparison of safe, dead and injured percentage of passengers in comparative years. Therefore,we try to reduce the causes for death by following the above-mentioned topics describes the safety measures for these causesusing cruise control and Information passing through IoT. If bus meet with an accident the effect of accident detected in the pressure sensor or in piezo sensor which termed to turn ON the GPS, the information(location) is considered as alert message and transferred through the router and collected in cloud data which informs the server station as analert as shown infig2. Fig2 Effect of bus accidents Once the alert message received in server control room, next the regular process will be continued (i.e.) the information received from the accidental location to server room will be intimated to the near by hospital and the police station for the immediate action to avoid the increasing in death percentage. 100
3 II. EXISTING SYSTEM The information gathered from GPRS is used to observe the bus delay, the bottleneck traffic junction, heavy traffic time and to make the appropriate scheduling recommendation. By using the GPRS information we gather current bus location and expected time of arrival of a bus at bus-stop [4]. Sequences of cruise-controlled vehicles and manual vehicles are randomly sequenced in traffic. At high speeds about 30m/s jamming occurs. But in cruise-controlled vehicles the jamming will be 10% or less. At 20% no jams are formed. At lower speeds 15m s, no critical concentration for complete jam suppression is found. Mixing 50% cruisecontrolled vehicles randomly with manually driven vehicles on the primary lane in onramp shows the reduced traveling times and larger flow rates [5]. For further priorities to establish the investment for rising the technology, required some knowledge to gauge these systems. it provides the scope to automate the bus transportation and automate the ticket collection to reduce the overcrowding and bus driver distraction [9]. There is a system used for designing the bus management system using GSM, GPRS and ZigBee. The basic function implemented in the transportation systems to monitoring the passenger population using gossip algorithm in cost effective way with the help of cloud computing for dynamic resource allocator [2] as shown in Fig3. Fig3Experimental setup of GPS tracker in bus The development of GPRS and GSM based on vehicle tracking and alert system to track the vehicle in real time and provide security from armed robbery and accident occurrences [1]. Automatic Vehicle Location (AVL) is a concept for determining the vehicle location according to its geographic area by transmitting the information to a remotely located server. The data that can be transmitted by or wireless communications systems after the location is captured. The most common service used for this purpose is GSM [3]. Adaptive cruise control can potentially improve quality-of-service to ensure the safety and reduce the environmental effect of the road traffic system. they use vehicle trajectories from traffic simulation to study effects of 101
4 ACC on vehicle acceleration and deceleration rates. it is based on traffic simulations with car-following models including functionality and driver behaviour in ACC-equipped [6] as shown in Fig4. Fig4Cruise control technology The proposed that the autonomous vehicle will follows the preceding vehicle with the help of cruise control system with longitudinal controller. In a cruise control the test vehicle will recognize the preceding vehicle located in front of it and the test vehicle will maintain a safe distance by controlling brake and acceleration. [7]. The vehicles are modelled by a linear dynamical equation that has string stability. the platform of all vehicles changes in the lead vehicle s velocity do not cause jams. The total incoming rate does not exceed the capacity of the single lane; free flow is maintained. However, it should not be considered congested because the flow is maximal for the density [8]. III. PROPOSED METHODOLOGY By considering the overall proposal of accidental causes and the effect of those problems are renowned. But the step by step measurements which are taken to control the causes are not makes the difference in the count of accident. So from the above points it is cleared that there is no better method to overcome this problem. Therefore, in our methodology we give the convinced system to overcome the major problem which are existing in the real time. The methodology which we are going to explain is very suitable to avoid the accidents for long distance and tiredtravelerwhile they drive the vehicle at sleepy condition. Fig 5 show the statistics of relative velocity of cruise controlled and normal vehicle. 102
5 Fig5statistics on normal and cruise-controlled vehicle A. Working Methodology: Its evaluate the driving condition on the interstate and for the hazardous weatherconditions. Especially at the hills station areas with mostly suffers from the wind flow and also supports for the long-distancetravel. Fig 6 show the flow methodology of accident monitoring and alerting system. Fig 6 Flow of accident detection, monitoring and alerting. 103
6 The system in our methodology explains the automatic speed control while in the traffics, hill climbing, during wind flow, etc... The speed level of the test vehicle willhave controlled through the pre-moving vehiclesand accommodate thespacing level according to the passing vehicles. The block of adaptive cruise control and types of alerts provided while using adaptive cruise control is shown in the Fig 7and Fig 8. Fig7 Types of alerts provided by the adaptive cruise control The accident is an unpredictable one, in case of accidental situation at anywhere at the earth can be easily findable one through IoT Information. If a bus has the setup of GPS, ROUTER, CRASH SENSOR and PIZEO SENOR.If the bus meet with an accident weather it dashed with other one or roll down. It can be detected by the crash sensor and piezo sensor respectively. If these sensors are get turned ON, the GPS recognize the location of the bus and share the information(location) through router. Fig8 Block diagram of cruise control technology Fig 8 Block diagram of adaptive cruise control technology 104
7 The information is collected in the cloud data which is the two-way process it also visible for the server control room. By this method the time of information about the accident is taken into the account of remembrance to that particular department. This process takes less time and it is the path take the immediate action for the situation, therefore the death rate has the chance to decrease. The block diagram of accident monitoring is shown in Fig 9. Fig9 Block diagram of accident monitoring system IV. CONCLUSION The inventions which developed for the passenger safety measurements are still considered as unsatisfied one. Because of the time for action to give proper treatment and the level of action is lagging. We taken this lagging of time of action into an account of recovering process bypassing theinformation through IoT by means of router and it is a two-way technique the information can be get from the accidental area and also the same information is transferred to the server control. Our methodology provides the solutionsfor the long traveller to improve the cruise control system which follows the city speed limit and also runs in the track by following the speed of pre-moving vehicles.it avoids the unwanted collision at traffic and also in hill areas, especially at wind flow. we strongly believe that our system will overcome all of these accident based real-time problems in the transportation system. V. REFERENCES [1]. Fleischer P.B., Nelson A.Y., Sowah, R.A. Bremang, A., "Design and development of GPS/GSM based vehicle tracking and alert system for commercial inter-city buses," Adaptive Science & Technology (ICAST), 2012 IEEE 4th International Conference on, vol., no., pp.1,6, Oct [2]. LV ZHIAN HU, Bus Management System Based on ZigBee and GSM/GPRS, HAN Physics & Electronics Information Technology Department Xiangfan University Xiangfan, China. [3]. Mrs. K.P. Kamble, SMART VEHICLE TRACKING SYSTEM International Journal of Distributed and Parallel Systems (IJDPS) Vol.3, No.4, July [4]. Ankit Kesharwani, VaishaliSadaphal, MaitreyaNatu, Empowering Bus Transportation System Using Wireless Sensor Networks Indian Institute of Technology, Kanpur, Tata Research Development and Design center, Pune, India. [5]. Andreas Tapani Vehicle Trajectory Effects of Adaptive Cruise Control, Pages 36-44, 21 Nov [6]. Minderhoud, M., and M. Simone. 2000, Simulation Model of Motorways with Next Generation Vehicles. Technical specification. Delft University of Technology, Netherlands, [7]. Man Hyung Lee, Hyung Gyu Park, Seok Hee Lee, Kang Sup Yoon, Kil Soo Lee An adaptive cruise control system for autonomous vehicles, International Journal of Precision Engineering and Manufacturing, Volume 14, Issue 3, pp ,March [8]. Davis, L. C. Effect of Adaptive Cruise Control Systems on Traffic Flow, Physical Review E, Vol. 69, pp ,2004. [9]. Senthil Ganesh R, Mohanasundar R, Prithvi Raj K, Vijayagopal N, Vinoth Kumar K, A Survey on Issues in Public Transport Management System, International Journal for Research in Applied Science & Engineering Technology (IJRASET) Volume Issue III, pp , March
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