Android smart phone can be used in ITS (Intelligent Transportation Systems) to obtain people and vehicle's location since it is integrated with GPS, direction sensor and acceleration sensor. Because the GPS built in smart phone always has an error of dozens of meters, improving the positioning accuracy is necessary before introducing it into ITS. This paper proposed an approach to improve the accuracy to the street level and get a smooth trajectory without jump points. It is convenient for everyone to use it because almost everyone has a smart phone. Firstly, road-matching algorithm is used to improve the localization accuracy to street level; secondly, speed and direction information are introduced to better reflect the real trajectory; thirdly, Kalman filter is used to eliminate the jump points and make the trajectory smooth; finally, the optimal result obtained from the process of Kalman filter is interpolated to reflect more details. The experiment result shows that the approach is effective.
{"title":"Multi-sensor fusion method using kalman filter to improve localization accuracy based on android smart phone","authors":"Chaobin Wang, Huawei Liang, Xinli Geng, Maofei Zhu","doi":"10.1109/ICVES.2014.7063707","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063707","url":null,"abstract":"Android smart phone can be used in ITS (Intelligent Transportation Systems) to obtain people and vehicle's location since it is integrated with GPS, direction sensor and acceleration sensor. Because the GPS built in smart phone always has an error of dozens of meters, improving the positioning accuracy is necessary before introducing it into ITS. This paper proposed an approach to improve the accuracy to the street level and get a smooth trajectory without jump points. It is convenient for everyone to use it because almost everyone has a smart phone. Firstly, road-matching algorithm is used to improve the localization accuracy to street level; secondly, speed and direction information are introduced to better reflect the real trajectory; thirdly, Kalman filter is used to eliminate the jump points and make the trajectory smooth; finally, the optimal result obtained from the process of Kalman filter is interpolated to reflect more details. The experiment result shows that the approach is effective.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132688846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICVES.2014.7063717
Swapnil M. Parate, V. SeshuBabu, S. Swarup
Driving vehicles under poor illumination and night conditions is stressful for drivers since co-vehicles that share the same road cannot easily be detected. The existing night vision solutions attempt to use enhancement algorithms or high cost thermal sensors. The enhancement techniques in the literature for night vision are complex and require costly processing hardware. We propose a low cost alternative and normal visible camera based solution to detect co-vehicles based on vehicular light patterns (both head and tail lights).The proposed method first detects the vehicular lights in the camera captured scene based on color segmentation using SMPTE-C standard and color conversions. Our approach handles some extreme cases stemming from tail light diffusions. A heuristic rule set is used to pair the detected vehicular lights. The problem of occlusions is addressed by Kalman based predictions and validated with VWVF- Vehicle Width Validation Factor. Our results are promising with more than 90% accuracy in detection of co-vehicles in city roads and motor ways with single way and double way traffic. Our approach can handle multiple co-vehicles on the road in comparison with existing algorithms handling one or two vehicles only. VWVF also helps in estimation of co-vehicle's distance from reference vehicle.
{"title":"Night time rear end collision avoidance system using SMPTE-C standard and VWVF","authors":"Swapnil M. Parate, V. SeshuBabu, S. Swarup","doi":"10.1109/ICVES.2014.7063717","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063717","url":null,"abstract":"Driving vehicles under poor illumination and night conditions is stressful for drivers since co-vehicles that share the same road cannot easily be detected. The existing night vision solutions attempt to use enhancement algorithms or high cost thermal sensors. The enhancement techniques in the literature for night vision are complex and require costly processing hardware. We propose a low cost alternative and normal visible camera based solution to detect co-vehicles based on vehicular light patterns (both head and tail lights).The proposed method first detects the vehicular lights in the camera captured scene based on color segmentation using SMPTE-C standard and color conversions. Our approach handles some extreme cases stemming from tail light diffusions. A heuristic rule set is used to pair the detected vehicular lights. The problem of occlusions is addressed by Kalman based predictions and validated with VWVF- Vehicle Width Validation Factor. Our results are promising with more than 90% accuracy in detection of co-vehicles in city roads and motor ways with single way and double way traffic. Our approach can handle multiple co-vehicles on the road in comparison with existing algorithms handling one or two vehicles only. VWVF also helps in estimation of co-vehicle's distance from reference vehicle.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130751230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICVES.2014.7063728
D. Irschik, W. Stork
An ongoing trend to connect vehicles for advanced driver assistance and driver information can be observed in the automotive industry. Whereas the channel into the car has been used for years for example by Traffic Message Compact (TMC), functions using the channel out of the car are just evolving. This paper presents a new functionality for extended floating car data (XFCD) where vehicles are used as mobile measurement probes for traffic information. It is demonstrated how vehicle data can be used to identify hazards related to the road surface. The presented algorithm classifies the current road condition using standard vehicle sensor data. The information fusion focuses on weather related events affecting the traffic safety and achieves a very good detection rate. Based on such estimations hazardous spots in the traffic network can be detected. The incar estimation of the hazard potential is presented in the context of a two-step traffic hazard recognition system. A second-level fusion combining several vehicle reports as well as additional data is performed in a central back-end server which also coordinates the provision of the valuable information to other road users as local hazard warning.
{"title":"Road surface classification for extended floating car data","authors":"D. Irschik, W. Stork","doi":"10.1109/ICVES.2014.7063728","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063728","url":null,"abstract":"An ongoing trend to connect vehicles for advanced driver assistance and driver information can be observed in the automotive industry. Whereas the channel into the car has been used for years for example by Traffic Message Compact (TMC), functions using the channel out of the car are just evolving. This paper presents a new functionality for extended floating car data (XFCD) where vehicles are used as mobile measurement probes for traffic information. It is demonstrated how vehicle data can be used to identify hazards related to the road surface. The presented algorithm classifies the current road condition using standard vehicle sensor data. The information fusion focuses on weather related events affecting the traffic safety and achieves a very good detection rate. Based on such estimations hazardous spots in the traffic network can be detected. The incar estimation of the hazard potential is presented in the context of a two-step traffic hazard recognition system. A second-level fusion combining several vehicle reports as well as additional data is performed in a central back-end server which also coordinates the provision of the valuable information to other road users as local hazard warning.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114963750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICVES.2014.7063736
Marco Wagner, Ansgar Meroth, R. Zöllner, Nico Sußmann
This paper describes a concept of open interfaces for the automotive domain. In recent years, several systems have been developed for connecting a car to the outside world by industry and academia. The paper will illustrate the need for an open interface to access the car by any mobile device. Furthermore, it discusses the requirements for those interfaces, security issues and commercialization aspects of the proposed system. In order to allow students to work on such interfaces a conceptual platform including the hardware and the software parts has been developed.
{"title":"On the need and implementation of an open interface for the automotive domain","authors":"Marco Wagner, Ansgar Meroth, R. Zöllner, Nico Sußmann","doi":"10.1109/ICVES.2014.7063736","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063736","url":null,"abstract":"This paper describes a concept of open interfaces for the automotive domain. In recent years, several systems have been developed for connecting a car to the outside world by industry and academia. The paper will illustrate the need for an open interface to access the car by any mobile device. Furthermore, it discusses the requirements for those interfaces, security issues and commercialization aspects of the proposed system. In order to allow students to work on such interfaces a conceptual platform including the hardware and the software parts has been developed.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124552801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICVES.2014.7063734
A. Reschka, Marcus Nolte, Torben Stolte, Johannes Schlatow, R. Ernst, M. Maurer
The software of electric / electronic vehicle control systems is static in current series vehicles. Most of the systems do not allow maintenance or functional updates, especially in the field of driver assistance systems. Main causes are the testing effort for a software release and the wide variety of different configurations in different vehicle models. In this paper we take a closer look at the requirements for a middleware which allows such updates, verifies new software versions, and adds reconfiguration mechanisms for singular control units and distributed sets of control units. To derive the requirements we consider the general vehicular context with limitations in space, electric power, processing power, and costs together with four exemplary road vehicle control applications (cruise control, automatic parking, stability control, force feedback), and a full x-by-wire target vehicle for implementing these applications. The analysis of these three different sources of requirements results in desired middleware functionalities and requirements, especially concerning runtime timings and update timings. The requirements cover an update functionality with integrated verification, the exchange of applications on singular control units, and the degradation of functionality by switching between control units.
{"title":"Specifying a middleware for distributed embedded vehicle control systems","authors":"A. Reschka, Marcus Nolte, Torben Stolte, Johannes Schlatow, R. Ernst, M. Maurer","doi":"10.1109/ICVES.2014.7063734","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063734","url":null,"abstract":"The software of electric / electronic vehicle control systems is static in current series vehicles. Most of the systems do not allow maintenance or functional updates, especially in the field of driver assistance systems. Main causes are the testing effort for a software release and the wide variety of different configurations in different vehicle models. In this paper we take a closer look at the requirements for a middleware which allows such updates, verifies new software versions, and adds reconfiguration mechanisms for singular control units and distributed sets of control units. To derive the requirements we consider the general vehicular context with limitations in space, electric power, processing power, and costs together with four exemplary road vehicle control applications (cruise control, automatic parking, stability control, force feedback), and a full x-by-wire target vehicle for implementing these applications. The analysis of these three different sources of requirements results in desired middleware functionalities and requirements, especially concerning runtime timings and update timings. The requirements cover an update functionality with integrated verification, the exchange of applications on singular control units, and the degradation of functionality by switching between control units.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117211439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICVES.2014.7063729
Shambhu Hegde, Harish V. Mekali, G. Varaprasad
This paper aims at proposing a novel pothole detection system, which assists the driver to avoid potholes on the roads by giving prior warnings. The idea is to build a robot vehicle that is capable of detecting the potholes and transferring this information to the nearby vehicles in the vicinity. By sharing the information about potholes with the nearby vehicles, the probability of accidents or collision can be reduced. Here, we propose a pothole detection model, which can detect the potholes with a minimum depth of 1 inch and share the information within 100 m range. This idea can be extended to design vehicles capable of detecting the humps or other irregularities on the roads. The application illustrated in this work can be effectively used to reduce the problem of increasing accidents caused due to potholes.
{"title":"Pothole detection and inter vehicular communication","authors":"Shambhu Hegde, Harish V. Mekali, G. Varaprasad","doi":"10.1109/ICVES.2014.7063729","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063729","url":null,"abstract":"This paper aims at proposing a novel pothole detection system, which assists the driver to avoid potholes on the roads by giving prior warnings. The idea is to build a robot vehicle that is capable of detecting the potholes and transferring this information to the nearby vehicles in the vicinity. By sharing the information about potholes with the nearby vehicles, the probability of accidents or collision can be reduced. Here, we propose a pothole detection model, which can detect the potholes with a minimum depth of 1 inch and share the information within 100 m range. This idea can be extended to design vehicles capable of detecting the humps or other irregularities on the roads. The application illustrated in this work can be effectively used to reduce the problem of increasing accidents caused due to potholes.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129664469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICVES.2014.7063719
V. Rajaram, S. Subramanian
In this paper, a non-linear controller for collision avoidance in a heavy commercial road vehicle has been developed using Lyapunov theory. This paper considers the longitudinal dynamics of the vehicle, including the aerodynamic effect, the rolling resistance and the road grade. This paper also considers the maximum tire-road adhesion capacity and the braking capability of the vehicle. The developed controller has been tested using simulation for three realistic scenarios for different road and loading conditions and the results were compared with a controller developed using a linear full state feedback controller. It was observed that the non-linear controller has an advantage in terms of reduced time headway.
{"title":"Comparison of linear and non-linear control schemes for collision avoidance in heavy road vehicles","authors":"V. Rajaram, S. Subramanian","doi":"10.1109/ICVES.2014.7063719","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063719","url":null,"abstract":"In this paper, a non-linear controller for collision avoidance in a heavy commercial road vehicle has been developed using Lyapunov theory. This paper considers the longitudinal dynamics of the vehicle, including the aerodynamic effect, the rolling resistance and the road grade. This paper also considers the maximum tire-road adhesion capacity and the braking capability of the vehicle. The developed controller has been tested using simulation for three realistic scenarios for different road and loading conditions and the results were compared with a controller developed using a linear full state feedback controller. It was observed that the non-linear controller has an advantage in terms of reduced time headway.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128547248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICVES.2014.7063730
F. Kohlhuber, Stefan Buechner, M. Lienkamp
Vehicle dynamics controls, like yaw rate controls, need accurate values for vehicle inertial and tire parameters. Normally those can be assumed to remain nearly constant for everyday car trips, but looking at vehicles with very low curb weights, these parameters can change on a wide range due to different passenger or luggage loads. This effect is analyzed with several load scenarios. A Kalman filter based algorithm is presented that is able to determine all vehicle and tire parameters with standard sensors during random everyday trips and within short time. Therefore, an extended nonlinear vehicle model is defined that is able to represent vehicle behavior for everyday driving profiles very well. The estimator is validated using real-world steering and velocity profiles.
{"title":"Trip-synchronous parameter estimation of vehicle and tire model parameters as virtual sensor for load-sensitive lightweight vehicles","authors":"F. Kohlhuber, Stefan Buechner, M. Lienkamp","doi":"10.1109/ICVES.2014.7063730","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063730","url":null,"abstract":"Vehicle dynamics controls, like yaw rate controls, need accurate values for vehicle inertial and tire parameters. Normally those can be assumed to remain nearly constant for everyday car trips, but looking at vehicles with very low curb weights, these parameters can change on a wide range due to different passenger or luggage loads. This effect is analyzed with several load scenarios. A Kalman filter based algorithm is presented that is able to determine all vehicle and tire parameters with standard sensors during random everyday trips and within short time. Therefore, an extended nonlinear vehicle model is defined that is able to represent vehicle behavior for everyday driving profiles very well. The estimator is validated using real-world steering and velocity profiles.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"53 76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127292484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICVES.2014.7063733
Rajiv Kapoor, Rajesh Birok, Divi Sai Manoj
Due to the fast growing vehicle population in the recent years has resulted in considerable increase in the traffic on roads, causing alarming noise pollution and also making the task of vehicle monitoring cumbersome for the civil force. This paper proposes an idea to design an on board equipment SHARP which implements soundless horn, a mechanism for vehicles to reduce the traffic noise and a remote patroller to aid the civil force in monitoring the vehicles remotely with enhanced hit ratio of black listed vehicles. The proposed idea, integrates the technologies of image processing and inter vehicular communication for its implementation. The designed on board equipment is targeted for four wheelers and a typical SHARP system is made up of --a camera, processor, DSRC transceiver, GPS device and an LCD display.
{"title":"Soundless Horn And Remote Patroller","authors":"Rajiv Kapoor, Rajesh Birok, Divi Sai Manoj","doi":"10.1109/ICVES.2014.7063733","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063733","url":null,"abstract":"Due to the fast growing vehicle population in the recent years has resulted in considerable increase in the traffic on roads, causing alarming noise pollution and also making the task of vehicle monitoring cumbersome for the civil force. This paper proposes an idea to design an on board equipment SHARP which implements soundless horn, a mechanism for vehicles to reduce the traffic noise and a remote patroller to aid the civil force in monitoring the vehicles remotely with enhanced hit ratio of black listed vehicles. The proposed idea, integrates the technologies of image processing and inter vehicular communication for its implementation. The designed on board equipment is targeted for four wheelers and a typical SHARP system is made up of --a camera, processor, DSRC transceiver, GPS device and an LCD display.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"37 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115532107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/ICVES.2014.7063743
T. Bojan, Umamaheswaran Raman Kumar, Viswanathan Manihatty Bojan
With the emergence of the Internet, a large quantity of data is generated by the communication network, largely triggered by the human activity. Adding to this, emerging technology like Internet-of-Things (IoT) wherein a large number of devices are getting connected to the Internet, thereby accelerating the rate of data generation. There are also future predictions that the number of devices connected to the internet is going to exceed the number of people connected to the internet. So there occurs the necessity to harness this large amount of data (mostly sensor data), convert them into useful information, make intelligent predictions and use this knowledge to build robust systems. In this paper we demonstrate the idea to build an Intelligent Transportation System (ITS) using the Internet of Things (IoT) platform. The system has three components ; the sensor system, monitoring system and the display system. The sensor system has Global Positioning System (GPS), Near Field Communication (NFC), Temperature and Humidity sensors, which are always connected with the internet via a GSM network to track the location, commuter and ambience inside the bus. The monitoring system is used to extract the raw data from the sensors database, convert it in to a meaningful context, triggers some events with in the bus and provide information to the bus driver. The display system is used to show the context data (bus and travel related information) to all the commuters in the bus stop. We describe our prototype and show how this can be used as a fundamental component to build the ITS.
{"title":"An internet of things based intelligent transportation system","authors":"T. Bojan, Umamaheswaran Raman Kumar, Viswanathan Manihatty Bojan","doi":"10.1109/ICVES.2014.7063743","DOIUrl":"https://doi.org/10.1109/ICVES.2014.7063743","url":null,"abstract":"With the emergence of the Internet, a large quantity of data is generated by the communication network, largely triggered by the human activity. Adding to this, emerging technology like Internet-of-Things (IoT) wherein a large number of devices are getting connected to the Internet, thereby accelerating the rate of data generation. There are also future predictions that the number of devices connected to the internet is going to exceed the number of people connected to the internet. So there occurs the necessity to harness this large amount of data (mostly sensor data), convert them into useful information, make intelligent predictions and use this knowledge to build robust systems. In this paper we demonstrate the idea to build an Intelligent Transportation System (ITS) using the Internet of Things (IoT) platform. The system has three components ; the sensor system, monitoring system and the display system. The sensor system has Global Positioning System (GPS), Near Field Communication (NFC), Temperature and Humidity sensors, which are always connected with the internet via a GSM network to track the location, commuter and ambience inside the bus. The monitoring system is used to extract the raw data from the sensors database, convert it in to a meaningful context, triggers some events with in the bus and provide information to the bus driver. The display system is used to show the context data (bus and travel related information) to all the commuters in the bus stop. We describe our prototype and show how this can be used as a fundamental component to build the ITS.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133800031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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