This paper presents the problem of information fusion in a multi-sensor setup of asynchronous sensors with different latencies. This leads to the problem of tracks that have arbitrary arrival time at the fusion center. A solution for the integration of tracks that are temporally out of order is proposed. The proposed algorithm is quite suitable for the trackto-track fusion requirements. This solution avoids the complex calculation involved in negating the effect of process noise that influences the estimation accuracy in a track-to-track fusion and also the correlated process noise problem that arises during the integration of out of order track with the global track. Monte Carlo simulations are carried out with different sensor characteristics to study the performance of the algorithm. The result of the algorithm is compared with an optimal filtering benchmark.
{"title":"Track to Track Fusion Incorporating Out of Sequence Track Based on Information Matrix Fusion","authors":"B. Duraisamy, T. Schwarz","doi":"10.1109/ITSC.2015.426","DOIUrl":"https://doi.org/10.1109/ITSC.2015.426","url":null,"abstract":"This paper presents the problem of information fusion in a multi-sensor setup of asynchronous sensors with different latencies. This leads to the problem of tracks that have arbitrary arrival time at the fusion center. A solution for the integration of tracks that are temporally out of order is proposed. The proposed algorithm is quite suitable for the trackto-track fusion requirements. This solution avoids the complex calculation involved in negating the effect of process noise that influences the estimation accuracy in a track-to-track fusion and also the correlated process noise problem that arises during the integration of out of order track with the global track. Monte Carlo simulations are carried out with different sensor characteristics to study the performance of the algorithm. The result of the algorithm is compared with an optimal filtering benchmark.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131760121","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}
P. Gandini, L. Studer, F. Borghetti, Rosanna Iuliano, G. Pastorelli
The DESTINATION project, operating since 2010, proposed as its primary objective the implementation of a new information system called GIIS (Global Integrated Information System). The GIIS provides a platform for the sharing and analysis of data concerning dangerous goods transportation within the territories of the project: Canton Ticino, Piedmont Region, Lombardy Region, Autonomous Region of Aosta Valley and Autonomous Province of Bolzano Alto Adige. The GIIS is based on a risk analysis model related to the transport of dangerous goods, which is able to consider both human and environmental targets that are potentially exposed. The article describes the approach used to assess possible environmental targets in a consistent way with the goals of the project. By applying the AHP methodology, a weighting coefficient for non-human targets is defined, in order to homogenize the units of measurement of the potential damages of the exposed environmental targets, as well as to allow the algebraic sum of the risks.
{"title":"Assessement of Areas Exposed to Damage by Dangerous Goods Transportation: Application of Analytic Hierarchy Process Method for Land Covers Weighing","authors":"P. Gandini, L. Studer, F. Borghetti, Rosanna Iuliano, G. Pastorelli","doi":"10.1109/ITSC.2015.410","DOIUrl":"https://doi.org/10.1109/ITSC.2015.410","url":null,"abstract":"The DESTINATION project, operating since 2010, proposed as its primary objective the implementation of a new information system called GIIS (Global Integrated Information System). The GIIS provides a platform for the sharing and analysis of data concerning dangerous goods transportation within the territories of the project: Canton Ticino, Piedmont Region, Lombardy Region, Autonomous Region of Aosta Valley and Autonomous Province of Bolzano Alto Adige. The GIIS is based on a risk analysis model related to the transport of dangerous goods, which is able to consider both human and environmental targets that are potentially exposed. The article describes the approach used to assess possible environmental targets in a consistent way with the goals of the project. By applying the AHP methodology, a weighting coefficient for non-human targets is defined, in order to homogenize the units of measurement of the potential damages of the exposed environmental targets, as well as to allow the algebraic sum of the risks.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130258315","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}
The information fusion of the processed sensory tracks is carried out using track-to-track fusion algorithms. The performance analysis of a selected track-to-track fusion algorithms under different sensory track covariance configurations are carried out in this paper. This is the first paper that does the study on the influence of sensory track covariance on the performance of three important algorithms for track-to-track fusion. A simulation setup with known system parameters and an optimal centralized measurement fuser based on the Kalman estimator as the benchmark is used to numerically evaluate the different algorithms with different sensory track covariance configurations. The results of this experiment shows that sensory track covariance plays an important role in achieving a consistent fused estimate in a track-to-track fusion problem. It is difficult to obtain this vital information at the fusion center in a real world system due to certain practical limitations. It is necessary to compensate this loss of information by estimating the respective sensor's local track covariance. Some practical solutions based on the available information at the fusion center, which could be used to carry out this compensation is proposed in this paper.
{"title":"Influence of the Sensor Local Track Covariance on the Track-to-Track Sensor Fusion","authors":"B. Duraisamy, T. Schwarz","doi":"10.1109/ITSC.2015.425","DOIUrl":"https://doi.org/10.1109/ITSC.2015.425","url":null,"abstract":"The information fusion of the processed sensory tracks is carried out using track-to-track fusion algorithms. The performance analysis of a selected track-to-track fusion algorithms under different sensory track covariance configurations are carried out in this paper. This is the first paper that does the study on the influence of sensory track covariance on the performance of three important algorithms for track-to-track fusion. A simulation setup with known system parameters and an optimal centralized measurement fuser based on the Kalman estimator as the benchmark is used to numerically evaluate the different algorithms with different sensory track covariance configurations. The results of this experiment shows that sensory track covariance plays an important role in achieving a consistent fused estimate in a track-to-track fusion problem. It is difficult to obtain this vital information at the fusion center in a real world system due to certain practical limitations. It is necessary to compensate this loss of information by estimating the respective sensor's local track covariance. Some practical solutions based on the available information at the fusion center, which could be used to carry out this compensation is proposed in this paper.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126489527","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}
This work provides a general overview of the main findings of two European projects, HeERO and HeERO2 aimed at facilitating the implementation of the eCall in-vehicle emergency call service in Europe. The representatives of 15 European Member States (MS) participated in the project's activities with the objective to demonstrate the functioning of the eCall. The projects identified several layers that form the eCall value chain. Based on these layers, a questionnaire was prepared and presented to MS representatives to identify the main barriers and enablers at country level. The results of the survey were used in the project to create the guidelines and recommendations for eCall deployment. The main contribution of the paper consists of the evaluation of the HeERO MS readiness level to implement eCall. To this aim, a set of evaluation criteria are measured based on the answers provided by the MS representatives. Furthermore, two multicriteria approaches are selected and implemented: the PROMETHEE and the PAPRIKA methods that consist in performing pairwise comparisons of alternatives. The outcome of the analysis is a ranking of HeERO countries based on their readiness level to implement eCall by October 2017, which is the mandatory deadline that has been set up by the European Commission.
{"title":"A Framework for Appraising European Member States' Readiness Level for eCall Deployment","authors":"S. Hadjidimitriou, Risto Öörni","doi":"10.1109/ITSC.2015.371","DOIUrl":"https://doi.org/10.1109/ITSC.2015.371","url":null,"abstract":"This work provides a general overview of the main findings of two European projects, HeERO and HeERO2 aimed at facilitating the implementation of the eCall in-vehicle emergency call service in Europe. The representatives of 15 European Member States (MS) participated in the project's activities with the objective to demonstrate the functioning of the eCall. The projects identified several layers that form the eCall value chain. Based on these layers, a questionnaire was prepared and presented to MS representatives to identify the main barriers and enablers at country level. The results of the survey were used in the project to create the guidelines and recommendations for eCall deployment. The main contribution of the paper consists of the evaluation of the HeERO MS readiness level to implement eCall. To this aim, a set of evaluation criteria are measured based on the answers provided by the MS representatives. Furthermore, two multicriteria approaches are selected and implemented: the PROMETHEE and the PAPRIKA methods that consist in performing pairwise comparisons of alternatives. The outcome of the analysis is a ranking of HeERO countries based on their readiness level to implement eCall by October 2017, which is the mandatory deadline that has been set up by the European Commission.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126557186","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}
P. Lorenz, Bernd Schäufele, Oliver Sawade, I. Radusch
Modern automated and cooperative driver assistance systems (CoDAS) rely deeply on the position estimation. Regardless of absolute positioning accuracy, the relative position in regard to driving environment and other vehicles needs to be of high quality to enable sophisticated functions. Global Navigation Satellite Systems (GNSS) fulfill this demand only partially. In this paper we present an algorithm to accurately infer the driving lane by utilizing Dedicated Short Range Communication (DSRC) and map data alone. We evaluate our approach against simulated and real-life data from Europes largest cooperative vehicle Field Operational Test (FOT): simTD. This lane detection algorithm will be an enabler for CoDAS functions like collaborative driving and merging developed in the TEAM IP project.
{"title":"Recursive State Estimation for Lane Detection Using a Fusion of Cooperative and Map Based Data","authors":"P. Lorenz, Bernd Schäufele, Oliver Sawade, I. Radusch","doi":"10.1109/ITSC.2015.352","DOIUrl":"https://doi.org/10.1109/ITSC.2015.352","url":null,"abstract":"Modern automated and cooperative driver assistance systems (CoDAS) rely deeply on the position estimation. Regardless of absolute positioning accuracy, the relative position in regard to driving environment and other vehicles needs to be of high quality to enable sophisticated functions. Global Navigation Satellite Systems (GNSS) fulfill this demand only partially. In this paper we present an algorithm to accurately infer the driving lane by utilizing Dedicated Short Range Communication (DSRC) and map data alone. We evaluate our approach against simulated and real-life data from Europes largest cooperative vehicle Field Operational Test (FOT): simTD. This lane detection algorithm will be an enabler for CoDAS functions like collaborative driving and merging developed in the TEAM IP project.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126647106","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}
Energy efficiency is paid more and more attention in urban rail transit systems. Optimization on Automatic Train Operation (ATO) is important to energy-efficient operation of trains. ATO generates the recommended speed curve based on the railway line parameters, the scheduled time table, and the vehicle conditions. The control strategy of ATO makes the train running along the recommended speed curve to meet the requirements on precision of train stopping, punctuality, energy-saving and riding comfort. The optimization of recommended speed curve in traditional research does not consider the influence of the control strategy of ATO. The energy consumption calculated by such a recommended speed curve and the practical curve of the train operation have a significant deviation. In this paper, a more accurate model of the train energy consumption is presented by considering the control strategy of ATO. Two modifications of Tabu Search (TS) algorithm, which are named as Acceleration Rate Decided Modification (ARDM) and Distance Decided Modification (DDM), are proposed to optimize train recommended speed curve based on the presented model. Case studies have been conducted based on Beijing Subway to illustrate that the proposed algorithm results in good performance with regards to energy saving. In addition, the computation time is within 1 s, which is short enough to be applied in the online control of trains.
{"title":"Energy-Efficient Operation of Single Train Based on the Control Strategy of ATO","authors":"Shuqi Liu, F. Cao, J. Xun, Yihui Wang","doi":"10.1109/ITSC.2015.415","DOIUrl":"https://doi.org/10.1109/ITSC.2015.415","url":null,"abstract":"Energy efficiency is paid more and more attention in urban rail transit systems. Optimization on Automatic Train Operation (ATO) is important to energy-efficient operation of trains. ATO generates the recommended speed curve based on the railway line parameters, the scheduled time table, and the vehicle conditions. The control strategy of ATO makes the train running along the recommended speed curve to meet the requirements on precision of train stopping, punctuality, energy-saving and riding comfort. The optimization of recommended speed curve in traditional research does not consider the influence of the control strategy of ATO. The energy consumption calculated by such a recommended speed curve and the practical curve of the train operation have a significant deviation. In this paper, a more accurate model of the train energy consumption is presented by considering the control strategy of ATO. Two modifications of Tabu Search (TS) algorithm, which are named as Acceleration Rate Decided Modification (ARDM) and Distance Decided Modification (DDM), are proposed to optimize train recommended speed curve based on the presented model. Case studies have been conducted based on Beijing Subway to illustrate that the proposed algorithm results in good performance with regards to energy saving. In addition, the computation time is within 1 s, which is short enough to be applied in the online control of trains.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129828684","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}
The data capacity of Euro-balise is 1023 bit, which could not fully satisfy the demanding in field as the existing railway in China is more complicated than that in Europe. This paper proposes a dual-channel balise. Compared with Euro-balise which has one uplink antenna, the new balise adopts two independent uplink antennas with two uplink channels and the data capacity is 2046 bit. Based on electromagnetic field theory, multiple antennas are equivalent to a multi-port network. The S-parameters are simulated and the isolation or mutual coupling among three antennas is analyzed. The distance between two antennas and operation frequency difference are the main influencing factors of mutual coupling. The experiment is implemented on the test platform, the results indicate that the interaction of multi-antenna do not influence the normal work of dual-channel balise.
{"title":"Mutual Coupling Research of Multi-antenna in Dual-Channel Balise","authors":"Linfu Zhu, Huibing Zhao, D. Liang, Ruigang Song","doi":"10.1109/ITSC.2015.355","DOIUrl":"https://doi.org/10.1109/ITSC.2015.355","url":null,"abstract":"The data capacity of Euro-balise is 1023 bit, which could not fully satisfy the demanding in field as the existing railway in China is more complicated than that in Europe. This paper proposes a dual-channel balise. Compared with Euro-balise which has one uplink antenna, the new balise adopts two independent uplink antennas with two uplink channels and the data capacity is 2046 bit. Based on electromagnetic field theory, multiple antennas are equivalent to a multi-port network. The S-parameters are simulated and the isolation or mutual coupling among three antennas is analyzed. The distance between two antennas and operation frequency difference are the main influencing factors of mutual coupling. The experiment is implemented on the test platform, the results indicate that the interaction of multi-antenna do not influence the normal work of dual-channel balise.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126943171","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}
This paper proposes a collision prediction method based on blind area traffic prediction using high definition maps and 3D LiDAR(Light Detection and Ranging). To keep safe driving, it is necessary to predict risks and to ready to avoid it. There are so many intersections with low visibility in residential area. In such environments, crossing collision accidents are often occurred. The proposed method in this paper predicts the blind area traffic using lane network information and particle filter, and updates the predicted results using visibility information of 3D LiDAR. Finally, this paper illustrates experimental results in urban environments and the calculated safe speed using proposed method is compared with expert driver data.
提出了一种基于高清地图和三维激光雷达(LiDAR, Light Detection and Ranging)的盲区交通预测的碰撞预测方法。为了保证安全驾驶，有必要预测风险并做好规避的准备。在居民区有很多能见度低的十字路口。在这种环境下，交叉碰撞事故时有发生。该方法利用车道网络信息和粒子滤波对盲区交通进行预测，并利用三维激光雷达的能见度信息对预测结果进行更新。最后，给出了城市环境下的实验结果，并与专家驾驶数据进行了比较。
{"title":"Blind Area Traffic Prediction Using High Definition Maps and LiDAR for Safe Driving Assist","authors":"E. Takeuchi, Yuki Yoshihara, Y. Ninomiya","doi":"10.1109/ITSC.2015.373","DOIUrl":"https://doi.org/10.1109/ITSC.2015.373","url":null,"abstract":"This paper proposes a collision prediction method based on blind area traffic prediction using high definition maps and 3D LiDAR(Light Detection and Ranging). To keep safe driving, it is necessary to predict risks and to ready to avoid it. There are so many intersections with low visibility in residential area. In such environments, crossing collision accidents are often occurred. The proposed method in this paper predicts the blind area traffic using lane network information and particle filter, and updates the predicted results using visibility information of 3D LiDAR. Finally, this paper illustrates experimental results in urban environments and the calculated safe speed using proposed method is compared with expert driver data.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114414809","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}
Due to excessive endeavor to reduce greenhouse gas caused by internal combustion engine-powered vehicles, battery-powered electric vehicles (EV) are arising as a solution. However, EV possess numerous limitations, such as short travel distance and long charging time. The On-Line Electric Vehicle (OLEV) is developed to overcome the limitations that the current generations of the EV have. The OLEV is battery-powered electric vehicle which can be charged wirelessly from the transmitter embedded under the road. The cost of the OLEV system is dependent on battery capacity, pickup capacity and cable length. To investigate the key factors of optimizing the cost of OLEV system, it is necessary to know the interrelations among above three main variables. This paper derives the cost function of the OLEV system, considering the three main components, such as battery, pickup and power cable. Also, it shows the change of the vehicle cost and infra cost with varying the capacity or length of OLEV system's components.
{"title":"Economic Analysis Based on the Interrelationships of the OLEV System Components","authors":"Hyukjoon Lee, D. Cho","doi":"10.1109/ITSC.2015.430","DOIUrl":"https://doi.org/10.1109/ITSC.2015.430","url":null,"abstract":"Due to excessive endeavor to reduce greenhouse gas caused by internal combustion engine-powered vehicles, battery-powered electric vehicles (EV) are arising as a solution. However, EV possess numerous limitations, such as short travel distance and long charging time. The On-Line Electric Vehicle (OLEV) is developed to overcome the limitations that the current generations of the EV have. The OLEV is battery-powered electric vehicle which can be charged wirelessly from the transmitter embedded under the road. The cost of the OLEV system is dependent on battery capacity, pickup capacity and cable length. To investigate the key factors of optimizing the cost of OLEV system, it is necessary to know the interrelations among above three main variables. This paper derives the cost function of the OLEV system, considering the three main components, such as battery, pickup and power cable. Also, it shows the change of the vehicle cost and infra cost with varying the capacity or length of OLEV system's components.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121055260","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. Adu-Gyamfi, Anuj Sharma, Skylar Knickerbocker, N. Hawkins, Michael Jackson
This paper presents a framework for evaluating the reliability of probe-sourced traffic speed data for congestion detection and general infrastructure performance assessment. The methodology outlined employs pattern recognition and time-series analysis to accurately quantify the similarity and dissimilarities between probe-sourced and benchmarked local sensor data. First, an adaptive and multiscale pattern recognition algorithm called Empirical Mode Decomposition (EMD) is used to define short, medium and long-term trends for the probe-sourced and infrastructure mounted local sensor datasets. The reliability of the probe data is then estimated based on the similarity or synchrony between corresponding trends. The synchrony between long-term trends are used as a measure of accuracy for general performance assessment, whereas short and medium term trends are used for testing the accuracy of congestion detection with probe-sourced data. Using one-month of high-resolution speed data, the authors were able to use probe data to detect on average 74% and 63% of the short-term events (events lasting for at most 30 minutes), 95% and 68% of the medium-term events (events lasting between 1 and 3 hours) on freeways and non - freeways respectively. Significant latencies do however exist between both datasets. On non - freeways, the benchmarked data detected events, on average, 12 minutes earlier than the probe data. On freeways, the latency between the datasets was reduced to 8 minutes. The resulting framework can serve as a guide for state DOTs when outsourcing or supplementing traffic data collection to probe-based services.
{"title":"Reliability of Probe Speed Data for Detecting Congestion Trends","authors":"Y. Adu-Gyamfi, Anuj Sharma, Skylar Knickerbocker, N. Hawkins, Michael Jackson","doi":"10.1109/ITSC.2015.362","DOIUrl":"https://doi.org/10.1109/ITSC.2015.362","url":null,"abstract":"This paper presents a framework for evaluating the reliability of probe-sourced traffic speed data for congestion detection and general infrastructure performance assessment. The methodology outlined employs pattern recognition and time-series analysis to accurately quantify the similarity and dissimilarities between probe-sourced and benchmarked local sensor data. First, an adaptive and multiscale pattern recognition algorithm called Empirical Mode Decomposition (EMD) is used to define short, medium and long-term trends for the probe-sourced and infrastructure mounted local sensor datasets. The reliability of the probe data is then estimated based on the similarity or synchrony between corresponding trends. The synchrony between long-term trends are used as a measure of accuracy for general performance assessment, whereas short and medium term trends are used for testing the accuracy of congestion detection with probe-sourced data. Using one-month of high-resolution speed data, the authors were able to use probe data to detect on average 74% and 63% of the short-term events (events lasting for at most 30 minutes), 95% and 68% of the medium-term events (events lasting between 1 and 3 hours) on freeways and non - freeways respectively. Significant latencies do however exist between both datasets. On non - freeways, the benchmarked data detected events, on average, 12 minutes earlier than the probe data. On freeways, the latency between the datasets was reduced to 8 minutes. The resulting framework can serve as a guide for state DOTs when outsourcing or supplementing traffic data collection to probe-based services.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131968641","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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