Paulo Figueiras, R. Costa, P. Maló, Luka Bradesko, Mitja Jermol
{"title":"Knowledge base approach for developing a mobile personalized travel companion","authors":"Paulo Figueiras, R. Costa, P. Maló, Luka Bradesko, Mitja Jermol","doi":"10.1109/ITST.2013.6685528","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685528","url":null,"abstract":"Nowadays with the proliferation of a panoply of smartphones and tablets on the market, almost everyone has access to mobile devices, which offers better processing capabilities and access to new information and services. Taking this into account the demand for new and more personalized services which aid users in their daily tasks is increasing. Current navigation systems lack in several ways in order to satisfy such demand, namely, accurate information about urban traffic in real-time, possibility to personalize the information used by such systems and also the need to have a more dynamic and user friendly interaction between device and traveler. In short, the current navigation systems were not designed to be intelligent enough to communicate their needs effectively to humans, and they are not intelligent enough to understand humans' attempts to satisfy those needs. This paper presents an approach for developing a personalized mobility knowledge base to be used by a mobile travelling companion application, whose conversational interactions crowdsource information about the world for the purpose of providing highly specific assistance and recommendations to the user. The work presented here, is still part of on-going work currently addressed under the EU FP7 MobiS project. Results achieved so far do not address the final conclusions of the project but form the basis for the formalization of the MobiS domain knowledge along with the MobiS data models.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127178368","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}
{"title":"On the fingerprints dynamics in WLAN indoor localization","authors":"Shweta Shrestha, J. Talvitie, E. Lohan","doi":"10.1109/ITST.2013.6685532","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685532","url":null,"abstract":"Location Based Services require seamless tracking of human or object outdoor/indoor anywhere, everywhere. Based on its location and availability, it should make use of the underlying wireless system it has access to or it could process. In terms of vehicular system also, it requires seamless tracking also in the indoor parking or places where it lacks clear LOS and has to depend upon the widely accessed Wireless Local Area Network based localization. This paper focuses on Received Signal Strength measurements dynamics in WLAN indoor localization. Real-field measurement data taken 3 year apart in the same university building (situated in Tampere, Finland) are used for this analysis. The building AP network has undergone a substantial structural change in between the two sets of measurements, in such a way that most WLAN emitters were replaced and renewed. We study here the variability and dynamics of the indoor channel and accuracy of the positioning results when emitter configuration is changed, but the indoor scenario remains the same (same building structure, same rooms and furniture).","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122487436","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}
N. Kawanishi, R. Furukawa, Suhua Tang, Akio Hasegawa, R. Miura, Y. Takeuchi
{"title":"Simulation evaluations of cooperative relative positioning around intersections","authors":"N. Kawanishi, R. Furukawa, Suhua Tang, Akio Hasegawa, R. Miura, Y. Takeuchi","doi":"10.1109/ITST.2013.6685575","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685575","url":null,"abstract":"Position information plays an important role in support system for safe driving, where inter-vehicle distance is used to prevent collision accidents from happening. In urban areas, however, multipath propagation of GPS signals degrades the accuracy of absolute positions and the deduced relative position. On the other hand, simply removing reflected signals might lead to a shortage of satellites in fixing positions. In our previous work, we suggested cooperative relative positioning to improve the accuracy of relative positions of adjacent vehicles so as to prevent collision accidents from happening. In this paper, we focus on intersections, which are risky areas for vehicles where accidents occur with a higher probability than other areas, then investigate whether our scheme can help to improve the accuracy of relative positions at intersections. More specifically, we evaluate multipath errors due to reflection/diffraction and analyze their correlation between receivers around intersections. We find that (i) Our system helps to improve the accuracy of relative positions of vehicles running on the same road, (ii) The spatial correlation of positioning signals decreases as vehicles get nearer to intersections. As a result of the initial step to focus on intersections, only relying on our scheme is insufficient and other measures become necessary as well in order to get accurate relative positions.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"13 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120891733","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}
{"title":"Collaborative environment for road traffic monitoring","authors":"A. Iovanovici, L. Prodan, M. Vladutiu","doi":"10.1109/ITST.2013.6685551","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685551","url":null,"abstract":"We present a collaborative, distributed solution for gathering high quality quasi-real-time data regarding the conditions on public roads in an urban community by using a mobile sensor network implemented on smart-phones. Our solution for collecting data is based on a series of mobile nodes running a custom application and a Java server responsible for aggregating and processing all the data and building a state of the roads at a specific moment. Users are presented with a web interface for querying the data in a geo-enabled manner. A specialized algorithm is developed an presented for collecting data in absence of GIS information.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121534340","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}
Yohei Kanemaru, S. Matsuura, Masatoshi Kakiuchi, Satoru Noguchi, A. Inomata, K. Fujikawa
{"title":"Vehicle clustering algorithm for sharing information on traffic congestion","authors":"Yohei Kanemaru, S. Matsuura, Masatoshi Kakiuchi, Satoru Noguchi, A. Inomata, K. Fujikawa","doi":"10.1109/ITST.2013.6685518","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685518","url":null,"abstract":"We present a method for clustering vehicles that are in the same congested traffic flow. Our goal is to provide a mechanism for sharing information between vehicles in the same situation to ease traffic congestion in urban areas. Because the most accurate source of information about the congested traffic flow is the vehicle at the head of the traffic flow, it first needs to be identified. To do so, we adapt a clustering algorithm by trajectory abstraction. By grouping the vehicles that have the same or similar trajectory into the same cluster, the vehicle at the tail of the traffic flow can discover the vehicle at the head of the traffic flow. Moreover, we adapt an abstracted trajectory representation to compensate for the error in GPS information. Simulation results show that the proposed algorithm provides a higher rate of correctness than existing commonly used clustering algorithms.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121535880","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}
{"title":"Safety view management for augmented reality based on MapReduce strategy on multi-core processors","authors":"Hsiao-Chien Tsai","doi":"10.1109/ITST.2013.6685537","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685537","url":null,"abstract":"Augmented reality (AR) can enrich intelligent transportation systems by overlaying virtual traffic information on user's view. Pedestrians and drivers using AR applications can read traffic information and keep their eye on roads at the same time without distracting attentions. However, any information displayed on device screens may overlay on moving objects on roads and obstruct user's view which causes traffic safety problems. This paper proposes a mechanism called safety view management to display information on AR applications in a safer way. When display labels or annotations on a device screen, the safety view management mechanism provides a safety region which does not overlap moving objects on the screen to increase driving safety. To efficiently detect safety region on a screen, the view management mechanism adopts MapReduce to analyze moving objects in parallel way on multi-core processors. Performance evaluations show that the proposed mechanism can efficiently calculate a safety region on screens and keeps drivers and passengers' remain safety view in smart cars.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"47 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131564887","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}
{"title":"An adaptive driving assistance system for electric vehicle","authors":"Wei-Yao Chou","doi":"10.1109/ITST.2013.6685549","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685549","url":null,"abstract":"In this paper, an adaptive driving assistance system for electric vehicle (EV) charging guiding was developed. In order to make sure EV driving without running out of battery, chargeable driving region was designed to indicate a safe driving region. EV was allowed to reach any positions within the proposed chargeable driving region and was guaranteed to reach at least one charging station with sufficient battery power. In general, a traditional charging guiding system usually estimated the maximum driving range to indicate a reachable driving region. However, only considering reachable driving region might result running out of battery afterward. It was not guaranteed that the reachable region was also chargeable. Therefore, the proposed adaptive driving assistance system estimated a chargeable driving region instead. The chargeable driving region not only estimated the required battery power from the current EV position to the boundaries of the region but also the required battery power from the boundaries of the region back to an available charging station. In other words, as long as EV was driven within the indicated chargeable driving region, EV was guaranteed to reach at least one charging station to charge without running out of battery. In the implemented system, current EV position, charging station positions, vehicle weight, road gradient and vehicle speed were applied to calculate the chargeable driving region.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133608089","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}
M. Adeel, G. M. Khan, Syed Mohsin Matloob Bokhari, Zeeshan Shafiq, S. Mahmud
{"title":"Feature Point Video Synthesis for tagged vehicular traffic","authors":"M. Adeel, G. M. Khan, Syed Mohsin Matloob Bokhari, Zeeshan Shafiq, S. Mahmud","doi":"10.1109/ITST.2013.6685593","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685593","url":null,"abstract":"A novel video compression algorithm is proposed in this paper called Feature Point Video Synthesis (FPVS) for vehicular traffic along a lane. Using this algorithm, the video data can be stored by keeping just a few parameters and then playing back the synthesized replica of the original video. This new idea is significant because unlike CCTV cameras, the proposed algorithm allows for only few parameters to keep a record of video data, thus saving a lot of disk space and bandwidth. Using different simulation scenarios, FPVS has been found to save more than 99% video bit-rate as compared to normal video compression techniques specifically for vehicular traffic. Besides the said advantages, the idea is important to add intelligence in vehicular traffic data; hence the video traffic can be utilized in intelligent transportation system. Only those parts of the algorithm are explained in this paper that deal with tagged vehicles. The proposed system is important because a high quality video display at the receiving end is possible from the fetched variables.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133305968","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}
Y. Akai, Akihito Hiromori, T. Umedu, H. Yamaguchi, T. Higashino
{"title":"Mitigating location and speed errors in floating car data using context-based accuracy estimation","authors":"Y. Akai, Akihito Hiromori, T. Umedu, H. Yamaguchi, T. Higashino","doi":"10.1109/ITST.2013.6685529","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685529","url":null,"abstract":"Although the floating car data contains detailed behavior of vehicles, most researches utilizing the floating car data mainly focus on providing link-level, large-scale traffic estimation because raw floating car data usually contains location and speed errors due to the characteristics of on-board sensors such as GPS and tachometers. Such errors are usually vehicle-dependent and considered hard to be eliminated. To tackle the challenge, in this paper, we propose a method to mitigate location and speed error in raw floating car data. The method takes two different information sources from GPS and tachometers respectively, and relies more on “more dependable” source. The dependability is assessed based on the locations and situations where the data are observed (e.g. in urban canyons the accuracy of GPS decreases and tachometers are more reliable). By analyzing and modeling such characteristics, we eliminate errors contained in those information sources to obtain more accurate traces and behavior of vehicles. We have evaluated our method using the real floating car data obtained over 7 days from 4777 vehicles that have installed commercial on-board navigation systems. We have shown that the relative distance errors have been reduced from 3.84% to 2.86% in 81.6% of vehicles.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133200445","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}
{"title":"Generalized unitary rotation based precoder for super-imposing of synchronization sequences in OFDM","authors":"A. Aboltins, P. Misans","doi":"10.1109/ITST.2013.6685556","DOIUrl":"https://doi.org/10.1109/ITST.2013.6685556","url":null,"abstract":"This paper proposes a novel algorithm for obtaining an orthogonal frequency division multiplexing (OFDM) signal with a super-imposed synchronization sequence, which is orthogonal to the rest of the signal. It allows to completely eliminate an interference between the super-imposed sequence and the useful signal. The super-imposed sequence does not consume dedicated time and frequency resources and provide additional means for timing and carrier frequency offset estimation and can be used for the channel estimation. The proposed precoder is based on a new class of fast unitary transformations and it is compatible with classic OFDM systems with pilot signal assisted modulation (PSAM) and frequency domain equalization. Moreover, it can be used in conjunction with existing OFDM timing offset and carrier frequency synchronization methods. The impact of frequency domain equalization on the orthogonality between the synchronization sequence and data subcarriers is analyzed. Additionally, the compatibility of the proposed precoder with popular data-aided and decision-directed timing offset estimation algorithms have been verified using Monte Carlo computer simulations.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131321227","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}