The introduction of highly automated driving functions is one of the main research and development efforts in the automotive industry worldwide. In the early stages of the development process, suppliers and manufacturers often wonder whether and to what extend the potential of the systems under development can be estimated in a cheap and timely manner. In the context of a current research project, a sensor system for the detection of the road surface condition is to be developed and it is to be investigated how such a system can be used to improve higher level driving functions. This paper presents how road surface conditions are introduced in various elements of the microscopic traffic simulation such as the actual network, the network editor, a device for detection, and an adaptation of the standard Krauß car following model. It is also shown how the adaptations can subsequently affect traffic scenarios. Furthermore, a summary is given how this preliminary work integrates into the larger scope of using SUMO as a tool in the process of analyzing the effectiveness of a road surface condition sensor.
{"title":"Introducing Road Surface Conditions into a Microscopic Traffic Simulation","authors":"T. Weber, P. Driesch, D. Schramm","doi":"10.29007/CQPS","DOIUrl":"https://doi.org/10.29007/CQPS","url":null,"abstract":"The introduction of highly automated driving functions is one of the main research and development efforts in the automotive industry worldwide. In the early stages of the development process, suppliers and manufacturers often wonder whether and to what extend the potential of the systems under development can be estimated in a cheap and timely manner. In the context of a current research project, a sensor system for the detection of the road surface condition is to be developed and it is to be investigated how such a system can be used to improve higher level driving functions. This paper presents how road surface conditions are introduced in various elements of the microscopic traffic simulation such as the actual network, the network editor, a device for detection, and an adaptation of the standard Krauß car following model. It is also shown how the adaptations can subsequently affect traffic scenarios. Furthermore, a summary is given how this preliminary work integrates into the larger scope of using SUMO as a tool in the process of analyzing the effectiveness of a road surface condition sensor.","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122417155","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}
Operational behavior models are used in traffic simulations to represent the subconscious, short-term decisions made by road users to respond to other road users, the infrastructure and traffic control measures. Calibration and validation of these models can be achieved using observed trajectory data from real road users. For lane bound traffic, it is assumed that road users intend to follow a given lane with a certain desired speed across the intersection. Any deviation from this planned path is in response to other road users or the environment. It is difficult, however, to identify and separate the desired movement of more flexible road users that do not follow lane disciple, such as bicyclists, from movements made as a reaction to other road users or obstacles. This can lead to poor calibration of operational behavior models and unrealistic behavior in the simulation. Tactical behavior models recreate the conscious decisions made on a time horizon of seconds to minutes to cope with the immediate traffic situation . As such, tactical behavior models are responsible for selecting the planned path across an intersection. Here, SUMO is coupled with the simulation software DYNA4 to create a simulated road environment for a bicycle simulator. Trajectories observed in reality are displayed as potential prescribed pathways across the simulated intersection. Participants in the simulator study are instructed to select and follow one of the prescribed pathways as closely as possible while responding naturally to other road users and obstacles in the environment. The resulting trajectory data is used to calibrate existing operation al and tactical path finding behavior models for bicyclists at signalized intersection. EPiC Series in Computing Volume 62, 2019, Pages 199–205 SUMO User Conference 2019 M. Weber, L. Bieker-Walz, R. Hilbrich and M. Behrisch (eds.), SUMO2019 (EPiC Series in Computing, vol. 62), pp. 199–205
操作行为模型用于交通模拟，以表示道路使用者为响应其他道路使用者、基础设施和交通控制措施而做出的潜意识的短期决策。这些模型的校准和验证可以使用实际道路使用者观察到的轨迹数据来实现。对于车道约束交通，假设道路使用者打算以一定的期望速度沿着给定的车道穿过交叉路口。任何偏离规划路径的情况都是由于其他道路使用者或环境的影响。然而，很难识别和区分不遵循车道的更灵活的道路使用者(如骑自行车的人)的期望运动，以及作为对其他道路使用者或障碍物的反应而做出的运动。这可能导致操作行为模型的校准不良和模拟中的不现实行为。战术行为模型再现了在几秒到几分钟的时间范围内做出的有意识的决定，以应对当前的交通状况。因此，战术行为模型负责选择穿过十字路口的计划路径。在这里，SUMO与仿真软件DYNA4相结合，为自行车模拟器创建一个模拟的道路环境。在现实中观察到的轨迹显示为通过模拟路口的潜在规定路径。在模拟器研究中，参与者被要求尽可能选择并遵循规定的路径之一，同时对环境中的其他道路使用者和障碍物做出自然反应。所得到的轨迹数据用于校准现有的操作和战术寻径行为模型的自行车在信号交叉口。史诗系列计算卷62,2019，页199-205相扑用户会议2019 M. Weber, L. Bieker-Walz, R. Hilbrich和M. Behrisch(编)，SUMO2019(史诗系列计算，卷62)，第199-205页
{"title":"Analyzing the behavior of bicyclists using a bicycle simulator with a coupled SUMO and DYNA4 simulated environment","authors":"Heather Kaths, A. Keler, J. Kaths, F. Busch","doi":"10.29007/dcmp","DOIUrl":"https://doi.org/10.29007/dcmp","url":null,"abstract":"Operational behavior models are used in traffic simulations to represent the subconscious, short-term decisions made by road users to respond to other road users, the infrastructure and traffic control measures. Calibration and validation of these models can be achieved using observed trajectory data from real road users. For lane bound traffic, it is assumed that road users intend to follow a given lane with a certain desired speed across the intersection. Any deviation from this planned path is in response to other road users or the environment. It is difficult, however, to identify and separate the desired movement of more flexible road users that do not follow lane disciple, such as bicyclists, from movements made as a reaction to other road users or obstacles. This can lead to poor calibration of operational behavior models and unrealistic behavior in the simulation. Tactical behavior models recreate the conscious decisions made on a time horizon of seconds to minutes to cope with the immediate traffic situation . As such, tactical behavior models are responsible for selecting the planned path across an intersection. Here, SUMO is coupled with the simulation software DYNA4 to create a simulated road environment for a bicycle simulator. Trajectories observed in reality are displayed as potential prescribed pathways across the simulated intersection. Participants in the simulator study are instructed to select and follow one of the prescribed pathways as closely as possible while responding naturally to other road users and obstacles in the environment. The resulting trajectory data is used to calibrate existing operation al and tactical path finding behavior models for bicyclists at signalized intersection. EPiC Series in Computing Volume 62, 2019, Pages 199–205 SUMO User Conference 2019 M. Weber, L. Bieker-Walz, R. Hilbrich and M. Behrisch (eds.), SUMO2019 (EPiC Series in Computing, vol. 62), pp. 199–205","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116744941","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}
Testing motion planning algorithms for automated vehicles in realistic simulation environments accelerates their development compared to performing real-world test drives only. In this work, we combine the open-source microscopic traffic simulator SUMO with our software framework CommonRoad to test motion planning of automated vehicles. Since SUMO is not originally designed for simulating automated vehicles, we present an interface for exchanging the trajectories of vehicles controlled by a motion planner and the trajectories of other traffic participants between SUMO and CommonRoad. Furthermore, we ensure realistic dynamic behavior of other traffic participants by extending the lane changing model in SUMO to implement more realistic lateral dynamics. We demonstrate our SUMO interface with a highway scenario.
{"title":"Coupling SUMO with a Motion Planning Framework for Automated Vehicles","authors":"Moritz Klischat, O. Dragoi, M. Eissa, M. Althoff","doi":"10.29007/1P2D","DOIUrl":"https://doi.org/10.29007/1P2D","url":null,"abstract":"Testing motion planning algorithms for automated vehicles in realistic simulation environments accelerates their development compared to performing real-world test drives only. In this work, we combine the open-source microscopic traffic simulator SUMO with our software framework CommonRoad to test motion planning of automated vehicles. Since SUMO is not originally designed for simulating automated vehicles, we present an interface for exchanging the trajectories of vehicles controlled by a motion planner and the trajectories of other traffic participants between SUMO and CommonRoad. Furthermore, we ensure realistic dynamic behavior of other traffic participants by extending the lane changing model in SUMO to implement more realistic lateral dynamics. We demonstrate our SUMO interface with a highway scenario.","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116277627","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}
In the last decade, many efforts to solve traffic congestion and sustainable growth issues are going in the direction of research and investments in smart cities and consequently smart mobility. We use the proposed simulation framework is compatible with SUMO 1.1.0. We use it to study multi-modal commuting and parking optimization issues in a state-of-the-art large-scale mobility scenario, and we intend to demonstrate the ease of use and its capabilities.
{"title":"DEMO - A Simulation Framework for Multi-modal Commuting and Parking Optimization","authors":"Lara Codecà, Jérôme Härri, J. Erdmann","doi":"10.29007/94J5","DOIUrl":"https://doi.org/10.29007/94J5","url":null,"abstract":"In the last decade, many efforts to solve traffic congestion and sustainable growth issues are going in the direction of research and investments in smart cities and consequently smart mobility. We use the proposed simulation framework is compatible with SUMO 1.1.0. We use it to study multi-modal commuting and parking optimization issues in a state-of-the-art large-scale mobility scenario, and we intend to demonstrate the ease of use and its capabilities.","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114604524","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}
Ismet Göksad Erdagi, Mehmet Ali Silgu, H. B. Çelikoglu
The recent advances in adaptive control and autonomous vehicles have given rise to the studies on cooperative control of road vehicles, and the consequent effects on traffic flow performances. In this paper, we summarize our findings from a simulation-based solution of a problem that seeks the joint optimization of a number of link-based performances of vehicular traffic flow considering explicitly the emissions exhausted using the Eclipse SUMO micro-simulation environment in order to discuss the effectiveness of the penetration rates of cooperatively controlled vehicles in mixed traffic.
{"title":"Emission Effects of Cooperative Adaptive Cruise Control: A Simulation Case Using SUMO","authors":"Ismet Göksad Erdagi, Mehmet Ali Silgu, H. B. Çelikoglu","doi":"10.29007/FBB7","DOIUrl":"https://doi.org/10.29007/FBB7","url":null,"abstract":"The recent advances in adaptive control and autonomous vehicles have given rise to the studies on cooperative control of road vehicles, and the consequent effects on traffic flow performances. In this paper, we summarize our findings from a simulation-based solution of a problem that seeks the joint optimization of a number of link-based performances of vehicular traffic flow considering explicitly the emissions exhausted using the Eclipse SUMO micro-simulation environment in order to discuss the effectiveness of the penetration rates of cooperatively controlled vehicles in mixed traffic.","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121666503","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. Wagner, Robert Alms, J. Erdmann, Yun-Pang Flötteröd
The co-ordination between traffic signals is assumed to be important for the good organization of a transport system. By using an artificial approach to create and analyze a multitude of transportation systems, a few different simple traffic signals programs has been put to the test and compared to each other. The result is that a well co-ordinated system can be outperformed by a non-coordinated signal set-up, where all signals controlers run in (single intersection) actuated mode. Clearly, these results are preliminary and require more investigation.
{"title":"Remarks on Traffic Signal Coordination","authors":"P. Wagner, Robert Alms, J. Erdmann, Yun-Pang Flötteröd","doi":"10.29007/FLBM","DOIUrl":"https://doi.org/10.29007/FLBM","url":null,"abstract":"The co-ordination between traffic signals is assumed to be important for the good organization of a transport system. By using an artificial approach to create and analyze a multitude of transportation systems, a few different simple traffic signals programs has been put to the test and compared to each other. The result is that a well co-ordinated system can be outperformed by a non-coordinated signal set-up, where all signals controlers run in (single intersection) actuated mode. Clearly, these results are preliminary and require more investigation.","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114060868","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}
Nature and human-made hazards, like hurricanes, inundations, terroristic attacks or incidents in nuclear power plants, make it necessary to evacuate large urban areas in a short time. So far, the consideration of railway transportation is rarely part of the evacuation strategies. One of the reasons is the unknown capacity of this infrastructure. In the case of hurricanes Katrina and Rita (USA) the evacuation was accomplished with private vehicles and buses. In Germany, especially in the conurbation of Nordrhein-Westfalen, where many roads are overloaded during the daily rush hours, it will not be possible to use only road dependent vehicles like private cars or busses to evacuate a large number of people into save areas. After the nuclear power plant disaster of Fukushima, the working group ‘AG Fukushima’ was founded, which recommends the use of trains for large-scale emergency evacuations. However, it is not clear if the capacity of train stations is enough to handle these large evacuations in time. Hence, this work deals with the question of how the capacity of train stations can be quantified and optimised for this application. In order to estimate the capacity of train stations we use and further develop the J¨ulich Pedestrian Simulator (JuPedSim), a software for pedestrian dynamics simulations. Therefore, a model of a train station is built in JuPedSim and several parameters like the inflow and outflow of the pedestrians are examined, to find the best routing strategy and organisational actions inside the station. The focus of this contribution lies in the identification of critical bottlenecks. An estimation of which parameters are influencing congestion at these bottlenecks is presented. Additionally, organisational strategies are outlined, which can prevent congestion and increase the capacity of a train station.
{"title":"Investigation of the capacity of train stations in case of a large-scale emergency evacuation","authors":"Anna Braun, Mohcine Chraibi, L. Arnold","doi":"10.29007/J32S","DOIUrl":"https://doi.org/10.29007/J32S","url":null,"abstract":"Nature and human-made hazards, like hurricanes, inundations, terroristic attacks or incidents in nuclear power plants, make it necessary to evacuate large urban areas in a short time. So far, the consideration of railway transportation is rarely part of the evacuation strategies. One of the reasons is the unknown capacity of this infrastructure. In the case of hurricanes Katrina and Rita (USA) the evacuation was accomplished with private vehicles and buses. In Germany, especially in the conurbation of Nordrhein-Westfalen, where many roads are overloaded during the daily rush hours, it will not be possible to use only road dependent vehicles like private cars or busses to evacuate a large number of people into save areas. After the nuclear power plant disaster of Fukushima, the working group ‘AG Fukushima’ was founded, which recommends the use of trains for large-scale emergency evacuations. However, it is not clear if the capacity of train stations is enough to handle these large evacuations in time. Hence, this work deals with the question of how the capacity of train stations can be quantified and optimised for this application. In order to estimate the capacity of train stations we use and further develop the J¨ulich Pedestrian Simulator (JuPedSim), a software for pedestrian dynamics simulations. Therefore, a model of a train station is built in JuPedSim and several parameters like the inflow and outflow of the pedestrians are examined, to find the best routing strategy and organisational actions inside the station. The focus of this contribution lies in the identification of critical bottlenecks. An estimation of which parameters are influencing congestion at these bottlenecks is presented. Additionally, organisational strategies are outlined, which can prevent congestion and increase the capacity of a train station.","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"334 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120939490","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":"Pedestrian-Friendly Traffic Signal Control Using SUMO","authors":"Görkem Akyol, Mehmet Ali Silgu, H. B. Çelikoglu","doi":"10.29007/C6K6","DOIUrl":"https://doi.org/10.29007/C6K6","url":null,"abstract":"","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121524410","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}
Ei Ei Mon1, Hideya Ochiai 2, Chaiyachet Saivichit 1, Chaodit Aswakul1 1 Wireless Network and Future Internet Research Unit, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Thailand 6071456921@student.chula.ac.th, Chaiyachet.S@chula.ac.th, chaodit.a@chula.ac.th 2 Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Japan jo2lxq@hongo.wide.ad.jp
Ei Ei Mon1, Hideya Ochiai 2, Chaiyachet Saivichit 1, Chaodit Aswakul1 1泰国朱拉隆功大学工程学院电气工程系无线网络与未来互联网研究中心6071456921@student.chula.ac.th, Chaiyachet.S@chula.ac.th, chaodit.a@chula.ac.th 2日本东京大学信息科学与技术研究生院信息与通信工程jo2lxq@hongo.wide.ad.jp
{"title":"Recurrent and Non-recurrent Congestion Based Gridlock Detection on Chula-SSS Urban Road Network","authors":"E. Mon, H. Ochiai, C. Saivichit, C. Aswakul","doi":"10.29007/CXKB","DOIUrl":"https://doi.org/10.29007/CXKB","url":null,"abstract":"Ei Ei Mon1, Hideya Ochiai 2, Chaiyachet Saivichit 1, Chaodit Aswakul1 1 Wireless Network and Future Internet Research Unit, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Thailand 6071456921@student.chula.ac.th, Chaiyachet.S@chula.ac.th, chaodit.a@chula.ac.th 2 Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Japan jo2lxq@hongo.wide.ad.jp","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121978098","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}
Starting from the problems of nowadays’ urban traffic (congestions, imperfect timing of traffic lights, high impact of lane changes) we investigate the feasibility of a cooperative intelligent agent based solution as an overall control scheme governing the car flow in congested urban intersections. The proposed complex solution features both the intelligent traffic control and the car platooning. In order to test and verify the merits of the proposed solution in urban intersection of a widely variable topology, but also to support our future research aims, a simulation platform, extending the basic functionalities of SUMO with the options of intelligent communication and cooperative co-acting, was designed and developed.
{"title":"SUMO Based Platform for Cooperative Intelligent Automotive Agents","authors":"Levente Alekszejenkó, T. Dobrowiecki","doi":"10.29007/SC13","DOIUrl":"https://doi.org/10.29007/SC13","url":null,"abstract":"Starting from the problems of nowadays’ urban traffic (congestions, imperfect timing of traffic lights, high impact of lane changes) we investigate the feasibility of a cooperative intelligent agent based solution as an overall control scheme governing the car flow in congested urban intersections. The proposed complex solution features both the intelligent traffic control and the car platooning. In order to test and verify the merits of the proposed solution in urban intersection of a widely variable topology, but also to support our future research aims, a simulation platform, extending the basic functionalities of SUMO with the options of intelligent communication and cooperative co-acting, was designed and developed.","PeriodicalId":201953,"journal":{"name":"International Conference on Simulation of Urban Mobility","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123287717","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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