Pub Date : 1900-01-01DOI: 10.1109/ITSC.2007.4357783
Guang-ping Liu, Run-ping Zhai, Y. Pei
The paper presents a calculating method of intersection delay under signal control. Adopted signalized intersection theory and on the foundation of existing delay research, the paper has further divided three traffic conditions of under-saturated, critical-saturated and over-saturated into six traffic situations and then the paper has inferred the corresponding approach delay formulas for each of them. The paper has also analyzed selecting term for choosing approach delay formulas and has established the approach delay model of signalized intersection. After that, the paper has inferred intersection delay formulas of signalized intersection with three phase controlled under different traffic conditions, then, the paper has proposed a calculating method for intersection delay under signal control, that is: it should choose the corresponding approach delay formula to calculate approach delay of every intersection approach based on different traffic conditions, different signal phase sequence and the number of queued vehicles at the beginning of signal cycle, and then sum up all approach delay to get intersection delay. Finally, the paper uses two cases to illustrate how to use the method to calculate intersection delay.
{"title":"A Calculating Method of Intersection Delay under Signal Control","authors":"Guang-ping Liu, Run-ping Zhai, Y. Pei","doi":"10.1109/ITSC.2007.4357783","DOIUrl":"https://doi.org/10.1109/ITSC.2007.4357783","url":null,"abstract":"The paper presents a calculating method of intersection delay under signal control. Adopted signalized intersection theory and on the foundation of existing delay research, the paper has further divided three traffic conditions of under-saturated, critical-saturated and over-saturated into six traffic situations and then the paper has inferred the corresponding approach delay formulas for each of them. The paper has also analyzed selecting term for choosing approach delay formulas and has established the approach delay model of signalized intersection. After that, the paper has inferred intersection delay formulas of signalized intersection with three phase controlled under different traffic conditions, then, the paper has proposed a calculating method for intersection delay under signal control, that is: it should choose the corresponding approach delay formula to calculate approach delay of every intersection approach based on different traffic conditions, different signal phase sequence and the number of queued vehicles at the beginning of signal cycle, and then sum up all approach delay to get intersection delay. Finally, the paper uses two cases to illustrate how to use the method to calculate intersection delay.","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127162667","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 : 1900-01-01DOI: 10.1109/ITSC.2008.4732648
N. Ding, Guozhen Tan, Honglian Ma, Ming-Wen Lin, Y. Shang
According to the characteristics of actual traffic stream, an on-road speed estimation model and algorithm based on wireless magnetic sensor networks was researched. In this model, we used 3 sensor nodes working together to estimate the speed of passing vehicle. To achieve long-life of the model, the mode was designed as a hierarchy architecture to reduce the power consumption. Furthermore, we presented a power consumed scheme, Duty-cycling-V, which could take the speed of vehicle queue as parameter for dynamically adjusting the working cycle of the sensor node. And we used it to the key sensor node of the model, which could farther reduce the power consumption. And the results of the emulation and on-road experiments are demonstrated that the vehicle speed captured by the 3 nodes model is more precise and better power efficiency than the 2 nodes detection model.
{"title":"Low-power Vehicle Speed Estimation Algorithm based on WSN","authors":"N. Ding, Guozhen Tan, Honglian Ma, Ming-Wen Lin, Y. Shang","doi":"10.1109/ITSC.2008.4732648","DOIUrl":"https://doi.org/10.1109/ITSC.2008.4732648","url":null,"abstract":"According to the characteristics of actual traffic stream, an on-road speed estimation model and algorithm based on wireless magnetic sensor networks was researched. In this model, we used 3 sensor nodes working together to estimate the speed of passing vehicle. To achieve long-life of the model, the mode was designed as a hierarchy architecture to reduce the power consumption. Furthermore, we presented a power consumed scheme, Duty-cycling-V, which could take the speed of vehicle queue as parameter for dynamically adjusting the working cycle of the sensor node. And we used it to the key sensor node of the model, which could farther reduce the power consumption. And the results of the emulation and on-road experiments are demonstrated that the vehicle speed captured by the 3 nodes model is more precise and better power efficiency than the 2 nodes detection model.","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114831587","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 : 1900-01-01DOI: 10.1109/ITSC.2007.4357778
Y. Pei, Lei-lei Dai
With the increasing traffic volumes on freeway systems nationwide, maintenance and construction work zones become more important to consider. These work zones are often in the form of the closure of one or more lanes, which will result in capacity bottleneck and impact the stabilization and safety of freeway. To reduce the influence of lane closure, this paper designs the control flow of Intelligent Lane Merge Control System (ILMCS) with ITS techniques, and constructs Traffic Information Collection System, Traffic Information Process and Decision System and Traffic Information Release System of ILMCS. The system identifies traffic states by analyzing real-time data collected by traffic detectors and then adopts adaptive lane merge control strategies by analyzing the extent of traffic congestion. At last, the paper evaluates ILMCS performances by simulation. The results show the performances of ILMCS exceed conventional merge controls, dynamic early merge control and dynamic late merge control, especially in improving freeway work zones safety and capacity.
{"title":"Study on Intelligent Lane Merge Control System for Freeway Work Zones","authors":"Y. Pei, Lei-lei Dai","doi":"10.1109/ITSC.2007.4357778","DOIUrl":"https://doi.org/10.1109/ITSC.2007.4357778","url":null,"abstract":"With the increasing traffic volumes on freeway systems nationwide, maintenance and construction work zones become more important to consider. These work zones are often in the form of the closure of one or more lanes, which will result in capacity bottleneck and impact the stabilization and safety of freeway. To reduce the influence of lane closure, this paper designs the control flow of Intelligent Lane Merge Control System (ILMCS) with ITS techniques, and constructs Traffic Information Collection System, Traffic Information Process and Decision System and Traffic Information Release System of ILMCS. The system identifies traffic states by analyzing real-time data collected by traffic detectors and then adopts adaptive lane merge control strategies by analyzing the extent of traffic congestion. At last, the paper evaluates ILMCS performances by simulation. The results show the performances of ILMCS exceed conventional merge controls, dynamic early merge control and dynamic late merge control, especially in improving freeway work zones safety and capacity.","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116953731","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 : 1900-01-01DOI: 10.1109/ITSC.2006.1706812
Liyun Zhu, H. Wen, Jianping Sun
Transportation information has distinct spatial and temporal distributed characteristics. The need for spatial and temporal data processing and analysis promotes the research for geographic spatio-temporal data models in the area of transportation planning. In this paper, we investigate to find out a practical solution for transportation temporal, spatial and attribute information storage and management, to avoid data redundancy and enable effective spatio-temporal analysis. Firstly, object oriented method is used to abstract transportation information data into different kinds of spatio-temporal objects. Then time stamps are added to those objects to express their static semanteme, and by the method of direct storing events, temporal topologies are built between objects to express their dynamic semanteme. This solution can be realized based on mature RDBMS data structure, so it is relatively easy to carry out and presents well practicability
{"title":"Application Oriented Spatio-Temporal Data Model Design for Transportation Planning","authors":"Liyun Zhu, H. Wen, Jianping Sun","doi":"10.1109/ITSC.2006.1706812","DOIUrl":"https://doi.org/10.1109/ITSC.2006.1706812","url":null,"abstract":"Transportation information has distinct spatial and temporal distributed characteristics. The need for spatial and temporal data processing and analysis promotes the research for geographic spatio-temporal data models in the area of transportation planning. In this paper, we investigate to find out a practical solution for transportation temporal, spatial and attribute information storage and management, to avoid data redundancy and enable effective spatio-temporal analysis. Firstly, object oriented method is used to abstract transportation information data into different kinds of spatio-temporal objects. Then time stamps are added to those objects to express their static semanteme, and by the method of direct storing events, temporal topologies are built between objects to express their dynamic semanteme. This solution can be realized based on mature RDBMS data structure, so it is relatively easy to carry out and presents well practicability","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114146050","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 : 1900-01-01DOI: 10.1109/ITSC.2008.4732688
Yingying Ma, Xiao Guang Yang, Z. Zhong
The offset calculation is an important part in urban traffic coordinate control. Two offset calculation models have been set up considering the relationship between the arriving and departing of vehicles in this paper. And the objective of them is to minimize the delay of vehicles. Model 1 is based on the assumption that the vehicles arriving and departing follows uniform distribution. And another model which is called Model 2 in this paper considered the dispersion of vehicle platoon. Software of MATLAB is used to calculate the offset models under different conditions such as different distance between intersections and volumes. And then microscopic simulations are used to analyze the benefit of offset calculation models. The results of simulation show that both the two models can improve traffic efficiency greatly. And Model 1 is more convenient and practical.
{"title":"Offline Offset Models for Coordinated Signal Control","authors":"Yingying Ma, Xiao Guang Yang, Z. Zhong","doi":"10.1109/ITSC.2008.4732688","DOIUrl":"https://doi.org/10.1109/ITSC.2008.4732688","url":null,"abstract":"The offset calculation is an important part in urban traffic coordinate control. Two offset calculation models have been set up considering the relationship between the arriving and departing of vehicles in this paper. And the objective of them is to minimize the delay of vehicles. Model 1 is based on the assumption that the vehicles arriving and departing follows uniform distribution. And another model which is called Model 2 in this paper considered the dispersion of vehicle platoon. Software of MATLAB is used to calculate the offset models under different conditions such as different distance between intersections and volumes. And then microscopic simulations are used to analyze the benefit of offset calculation models. The results of simulation show that both the two models can improve traffic efficiency greatly. And Model 1 is more convenient and practical.","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121147616","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 : 1900-01-01DOI: 10.1109/ITSC.2014.6958058
Li-Tian Zhang, M. Fu, Yi Yang, Meiling Wang
Detection of traffic lights is a basic technology for autonomous vehicle and driver assistant system. This paper presents a framework of detection, tracking, classification and online mapping using the images captured by a camera mounted on the vehicle and the position and attitude information from GPS/INS. The sequential results of detection, which is treated as observations with uncertainty, are associated with the targets in previous frame. The results of association are filtered and classified. In addition, the target position in the image is predicted based on a novel motion model and aided by a online mapping module that provides the model with 3D location information. The precise motion model significantly improves the performance of the association. The prediction algorithm based on our motion model is evaluated and compared with the other methods.
{"title":"A framework of traffic lights detection, tracking and recognition based on motion models","authors":"Li-Tian Zhang, M. Fu, Yi Yang, Meiling Wang","doi":"10.1109/ITSC.2014.6958058","DOIUrl":"https://doi.org/10.1109/ITSC.2014.6958058","url":null,"abstract":"Detection of traffic lights is a basic technology for autonomous vehicle and driver assistant system. This paper presents a framework of detection, tracking, classification and online mapping using the images captured by a camera mounted on the vehicle and the position and attitude information from GPS/INS. The sequential results of detection, which is treated as observations with uncertainty, are associated with the targets in previous frame. The results of association are filtered and classified. In addition, the target position in the image is predicted based on a novel motion model and aided by a online mapping module that provides the model with 3D location information. The precise motion model significantly improves the performance of the association. The prediction algorithm based on our motion model is evaluated and compared with the other methods.","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126931357","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 : 1900-01-01DOI: 10.1109/ITSC.2007.4357795
Wen-xing Zhu, L. Jia
A new car-following model was developed to describe the motion of the dynamical traffic flow with a synthesized optimal velocity function which depends on not only headway of the immediately preceding vehicle but also the interactions of an arbitrary number of preceding vehicles. We analyzed the linear stability of this model by introducing a small disturbance into the homogeneous traffic flow on a single circular lane. The stability condition shows the larger delay time of response than previous models. The modified Korteweg-de Vries (mKdV) equation was derived by performing the nonlinear analysis near the critical point and the kink-antikink soliton solution was obtained also. The traffic jams can be suppressed by introducing the more front interactions. The results of the numerical simulation show the validity and the correctness of the new model.
{"title":"Analysis of a New Car-following Model with a Consideration of Multi-interaction of Preceding vehicles","authors":"Wen-xing Zhu, L. Jia","doi":"10.1109/ITSC.2007.4357795","DOIUrl":"https://doi.org/10.1109/ITSC.2007.4357795","url":null,"abstract":"A new car-following model was developed to describe the motion of the dynamical traffic flow with a synthesized optimal velocity function which depends on not only headway of the immediately preceding vehicle but also the interactions of an arbitrary number of preceding vehicles. We analyzed the linear stability of this model by introducing a small disturbance into the homogeneous traffic flow on a single circular lane. The stability condition shows the larger delay time of response than previous models. The modified Korteweg-de Vries (mKdV) equation was derived by performing the nonlinear analysis near the critical point and the kink-antikink soliton solution was obtained also. The traffic jams can be suppressed by introducing the more front interactions. The results of the numerical simulation show the validity and the correctness of the new model.","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"498 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123893128","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 : 1900-01-01DOI: 10.1109/ITSC.2007.4357786
Xiaoping Zhou, J. Rong, Jian-cheng Weng, C. Shao
Traffic congestion, which is represented by stochastic short-term traffic interference of varying duration and frequency, is a key influencing factor of traffic characteristics and quality of service of urban street network. The two-fluid (the vehicles in traffic flow are divided into moving vehicles and stopped vehicles) model is able to describe the average operating performance of urban traffic, but it is difficult to collect individual vehicles data in the network for practical application of the model in urban area. The sampling strategies on data collection based on probe vehicles are stated in the paper and trip histories of probe vehicles are aggregated across link-based microtrip in order to estimate the model parameters. The algorithm of cost function is applied to map-matching with the help of GIS (Geographic Information System). The critical speed for identifying the vehicle state is determined through sensitivity analysis. The field experiments showed that the application of probe vehicle data is reliable to assess the network performance and traffic condition of urban street network.
{"title":"Network-wide Performance Assessment of Urban Traffic Based on Probe Vehicle Data","authors":"Xiaoping Zhou, J. Rong, Jian-cheng Weng, C. Shao","doi":"10.1109/ITSC.2007.4357786","DOIUrl":"https://doi.org/10.1109/ITSC.2007.4357786","url":null,"abstract":"Traffic congestion, which is represented by stochastic short-term traffic interference of varying duration and frequency, is a key influencing factor of traffic characteristics and quality of service of urban street network. The two-fluid (the vehicles in traffic flow are divided into moving vehicles and stopped vehicles) model is able to describe the average operating performance of urban traffic, but it is difficult to collect individual vehicles data in the network for practical application of the model in urban area. The sampling strategies on data collection based on probe vehicles are stated in the paper and trip histories of probe vehicles are aggregated across link-based microtrip in order to estimate the model parameters. The algorithm of cost function is applied to map-matching with the help of GIS (Geographic Information System). The critical speed for identifying the vehicle state is determined through sensitivity analysis. The field experiments showed that the application of probe vehicle data is reliable to assess the network performance and traffic condition of urban street network.","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126978603","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 : 1900-01-01DOI: 10.1109/ITSC.2008.4732528
Fa Zhang, Qiaoxia Zhao, Jin-Ling Li
Vehicles have different normal accelerations. However, the characteristics of the mixed traffic of vehicles with different accelerations have not been studied. In this paper, we present a microscopic model of longitudinal driving, and investigate the characteristics of mixed traffic of two types of vehicles with different accelerations on a single lane using simulation. We obtain the flow-density and velocity-density relationships of the traffic with different mix ratios of low-acceleration vehicles, and show that the max-flux decreases when the mix ratio increases, whereas the critical density are approximately invariable. Then we observe the transition process of the mixed traffic, and find that the mean velocity drops significantly in low density regime. Finally we explore the spatial-temporal evolution of the mixed traffic, and summarize four patterns appeared in different density regimes. The conclusion is that the difference of vehicle's acceleration has significant effect on the characteristics of traffic, and the effect varies in a complicated manner.
{"title":"Characteristics of Mixed Traffic with Different Acceleration Vehicles on Single-Lane","authors":"Fa Zhang, Qiaoxia Zhao, Jin-Ling Li","doi":"10.1109/ITSC.2008.4732528","DOIUrl":"https://doi.org/10.1109/ITSC.2008.4732528","url":null,"abstract":"Vehicles have different normal accelerations. However, the characteristics of the mixed traffic of vehicles with different accelerations have not been studied. In this paper, we present a microscopic model of longitudinal driving, and investigate the characteristics of mixed traffic of two types of vehicles with different accelerations on a single lane using simulation. We obtain the flow-density and velocity-density relationships of the traffic with different mix ratios of low-acceleration vehicles, and show that the max-flux decreases when the mix ratio increases, whereas the critical density are approximately invariable. Then we observe the transition process of the mixed traffic, and find that the mean velocity drops significantly in low density regime. Finally we explore the spatial-temporal evolution of the mixed traffic, and summarize four patterns appeared in different density regimes. The conclusion is that the difference of vehicle's acceleration has significant effect on the characteristics of traffic, and the effect varies in a complicated manner.","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126073312","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 : 1900-01-01DOI: 10.1109/ITSC.2007.4357736
Yunteng Lao, Xiaoguang Yang, Zhen Wu
Most achieved quantification methods for congestion in traffic engineering are designed for the freeway. Those methods which use operational characteristics (e.g., delay, speed and occupation etc.) as quantification indexes are inconvenient to be used on signalized intersection, since these indexes usually have a large variance with the effected of many factors in intersections, such as traffic control and traffic design. This paper presents a concept, which combines traffic demand and traffic supply into a whole, to describe the congestion in signalized intersection based on loop detector data. Our method is convenient for the application, since it only needs volume data in stopline. Moreover this method is useful for the traffic control system and traffic guidance system. The quantification of congestion for the lane group, approach and intersection can provide useful information for the optimization of traffic control strategies, and provide forecasted traffic state information which can meet the users' requirement in traffic system.
{"title":"Quantification of Congestion in Signalized Intersection Based on Loop Detector Data","authors":"Yunteng Lao, Xiaoguang Yang, Zhen Wu","doi":"10.1109/ITSC.2007.4357736","DOIUrl":"https://doi.org/10.1109/ITSC.2007.4357736","url":null,"abstract":"Most achieved quantification methods for congestion in traffic engineering are designed for the freeway. Those methods which use operational characteristics (e.g., delay, speed and occupation etc.) as quantification indexes are inconvenient to be used on signalized intersection, since these indexes usually have a large variance with the effected of many factors in intersections, such as traffic control and traffic design. This paper presents a concept, which combines traffic demand and traffic supply into a whole, to describe the congestion in signalized intersection based on loop detector data. Our method is convenient for the application, since it only needs volume data in stopline. Moreover this method is useful for the traffic control system and traffic guidance system. The quantification of congestion for the lane group, approach and intersection can provide useful information for the optimization of traffic control strategies, and provide forecasted traffic state information which can meet the users' requirement in traffic system.","PeriodicalId":184458,"journal":{"name":"International Conference on Intelligent Transportation Systems","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128228579","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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