Pub Date : 2019-07-01DOI: 10.1109/ICTIS.2019.8883679
Qidong Fan
This article elaborates an intelligent monitoring system for monitoring and collecting various information of passenger ferry during the operation of the ship. Combined with sensors, wireless data communication and statistics analysis functions. The core of the system is a set of passenger ferry counting system. It can also support by BDS. Finally, all data will be recorded in the storage, the mobile network will transmit the data to the shore-based receiver. The system is small in size and low in cost. It is suitable for the installation of inland river ferries. It is easy to operate and easy to install. The system will make it simple to prevent the overloading in the future.
{"title":"Overload Monitoring System for Inland River Ferries","authors":"Qidong Fan","doi":"10.1109/ICTIS.2019.8883679","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883679","url":null,"abstract":"This article elaborates an intelligent monitoring system for monitoring and collecting various information of passenger ferry during the operation of the ship. Combined with sensors, wireless data communication and statistics analysis functions. The core of the system is a set of passenger ferry counting system. It can also support by BDS. Finally, all data will be recorded in the storage, the mobile network will transmit the data to the shore-based receiver. The system is small in size and low in cost. It is suitable for the installation of inland river ferries. It is easy to operate and easy to install. The system will make it simple to prevent the overloading in the future.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130481671","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 : 2019-07-01DOI: 10.1109/ICTIS.2019.8883778
Shaoman Liu
The damages and loses caused by rail tunnel accidents are usually unbelievable serious even though these events are relatively rare in reality. Evacuation simulation models for rail tunnels could usually be classified into discrete and continuous types. Using these two types of models to simulate the same rail tunnel evacuation process may lead to different and interesting results since the modelling techniques of these two types of models are obviously different from each other and the geometry of rail tunnels usually involves longnarrow walkways which are challenging to be accurately modelled. Therefore, it would be interesting and necessary to compare the differences between these models on modeling rail tunnel evacuations and to identify how the basic rules of these models are affecting the simulation results. This paper compares two typical evacuation simulation models, one is a discrete model and another is a continuous model, on simulating a same set of hypothetical rail tunnel evacuation scenarios. Tunnels with different dimensions of “walkways” and “cross-passageways” are considered. Typical quantitative pedestrian flow indicators such as the egress time, flow rate, the density distribution etc. are analyzed and compared. Simulation parameters which are particularly sensitive to the simulation results are discussed. This study would provide insights for model users or researchers for understanding the differences of the underlying modeling rules in these models.
{"title":"Discrete and continuous evacuation simulation models for rail tunnel evacuation: a comparison study","authors":"Shaoman Liu","doi":"10.1109/ICTIS.2019.8883778","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883778","url":null,"abstract":"The damages and loses caused by rail tunnel accidents are usually unbelievable serious even though these events are relatively rare in reality. Evacuation simulation models for rail tunnels could usually be classified into discrete and continuous types. Using these two types of models to simulate the same rail tunnel evacuation process may lead to different and interesting results since the modelling techniques of these two types of models are obviously different from each other and the geometry of rail tunnels usually involves longnarrow walkways which are challenging to be accurately modelled. Therefore, it would be interesting and necessary to compare the differences between these models on modeling rail tunnel evacuations and to identify how the basic rules of these models are affecting the simulation results. This paper compares two typical evacuation simulation models, one is a discrete model and another is a continuous model, on simulating a same set of hypothetical rail tunnel evacuation scenarios. Tunnels with different dimensions of “walkways” and “cross-passageways” are considered. Typical quantitative pedestrian flow indicators such as the egress time, flow rate, the density distribution etc. are analyzed and compared. Simulation parameters which are particularly sensitive to the simulation results are discussed. This study would provide insights for model users or researchers for understanding the differences of the underlying modeling rules in these models.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133276024","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 : 2019-07-01DOI: 10.1109/ICTIS.2019.8883708
Qianqian Chen, Changshi Xiao, Y. Wen, Chunhui Zhou, Fan Zhang
Considering the movement characteristics of ships in closed waters and the requirements of water traffic supervision, a new ship identification system is designed by using a wireless ad hoc network technology wide area Internet of things. The working principle, system structure, system composition and the realization of the system are described. An adaptive communication rate algorithm for shipborne units is established to reduce the system communication delay and bit error rate (BER). A spectrum allocation model based on game theory is proposed to improve the channel utilization and throughput of the system. The simulation and experimental results show that the communication mode of the system is flexible and convenient, the data transmission is reliable, and the system can meet the requirements of automatic identification of ships in closed waters. It can be widely used in ship navigation and safety supervision in closed waters.
{"title":"Design of Automatic Identification System for Enclosed Waters Based on LoRa","authors":"Qianqian Chen, Changshi Xiao, Y. Wen, Chunhui Zhou, Fan Zhang","doi":"10.1109/ICTIS.2019.8883708","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883708","url":null,"abstract":"Considering the movement characteristics of ships in closed waters and the requirements of water traffic supervision, a new ship identification system is designed by using a wireless ad hoc network technology wide area Internet of things. The working principle, system structure, system composition and the realization of the system are described. An adaptive communication rate algorithm for shipborne units is established to reduce the system communication delay and bit error rate (BER). A spectrum allocation model based on game theory is proposed to improve the channel utilization and throughput of the system. The simulation and experimental results show that the communication mode of the system is flexible and convenient, the data transmission is reliable, and the system can meet the requirements of automatic identification of ships in closed waters. It can be widely used in ship navigation and safety supervision in closed waters.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133190927","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 : 2019-07-01DOI: 10.1109/ICTIS.2019.8883590
Li Tang, Yuheng Tang, Kai Zhang, Li-Juan Du, Min Wang
Ship collision accidents are typical and major ones for ships, whose grades are predicted to be favorable for taking timely measures and relieving the corresponding losses or reducing their occurrence possibilities. To this end, a model based on Random Forests and Bayesian Network Model was put forward here to predict the grade of any ship collision accident; the former were utilized to identify key factors influencing prediction of ship collision accident grades while the identified results acted as nodes of the latter. By taking 945 ship collision accidents in Jiangsu Section in the Main Stem of Yangtze River, the Bayesian network model was constructed by means of machine learning to predict the collision grades.
{"title":"Prediction of Grades of Ship Collision Accidents Based on Random Forests and Bayesian Networks","authors":"Li Tang, Yuheng Tang, Kai Zhang, Li-Juan Du, Min Wang","doi":"10.1109/ICTIS.2019.8883590","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883590","url":null,"abstract":"Ship collision accidents are typical and major ones for ships, whose grades are predicted to be favorable for taking timely measures and relieving the corresponding losses or reducing their occurrence possibilities. To this end, a model based on Random Forests and Bayesian Network Model was put forward here to predict the grade of any ship collision accident; the former were utilized to identify key factors influencing prediction of ship collision accident grades while the identified results acted as nodes of the latter. By taking 945 ship collision accidents in Jiangsu Section in the Main Stem of Yangtze River, the Bayesian network model was constructed by means of machine learning to predict the collision grades.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127805543","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 : 2019-07-01DOI: 10.1109/ICTIS.2019.8883793
Jianwei Sun, Dianliang Xiao
In the construction process of immersed tunnel, the construction technologies of floating, mooring, sinking and docking are complex, the safety risk of construction operation is high, and the construction management is difficult. In order to reduce the safety risks in the construction process, managers need to carry out risk management. In order to better carry out risk management of this project, this paper proposes to establish a whole staff participation, whole process and dynamic database of risk management, through the risk database management and application, and then to achieve effective risk management, so that construction safety risk of this project can be at an acceptable level. The database includes risk identification, risk source classification, risk analysis, risk assessment, risk disposal and summary review.
{"title":"Study on risk management of floating transportation and installation operation of immersed tunnel based on ShenZhong Link","authors":"Jianwei Sun, Dianliang Xiao","doi":"10.1109/ICTIS.2019.8883793","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883793","url":null,"abstract":"In the construction process of immersed tunnel, the construction technologies of floating, mooring, sinking and docking are complex, the safety risk of construction operation is high, and the construction management is difficult. In order to reduce the safety risks in the construction process, managers need to carry out risk management. In order to better carry out risk management of this project, this paper proposes to establish a whole staff participation, whole process and dynamic database of risk management, through the risk database management and application, and then to achieve effective risk management, so that construction safety risk of this project can be at an acceptable level. The database includes risk identification, risk source classification, risk analysis, risk assessment, risk disposal and summary review.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133848773","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 : 2019-07-01DOI: 10.1109/ICTIS.2019.8883713
Duo Xu, S. Fang, Yuren Chen, Shengbin Zhang
The main objective of this paper is to bring forward the flexible method for designing the continuous downgrade alignment at alpine high altitude area. Brake fade of trucks is the most important cause of accidents on this special alignment, and therefore, temperature rise model is the theoretical core for alignment criteria selection. Several researches have been carried out for laws of temperature rising of trucks on downgrade at low altitude area under normal climate. Additionally, deterministic method is always the basis of guidelines for road designers. However, when situation changes to alpine and high altitude condition, temperature does not rise as imagined, and deterministic method has limitations in specific circumstances. This paper collects data on two roads in Tibet, one for lower gradient, the other for higher gradient. As drivers have different driving behaviors on the two roads, this paper divides temperature rise model into two parts based on the gradient. After two Chinese temperature rise models are corrected by data from Tibet with R-squares beyond 0.8, reliability analysis is then carried out. Speed and weight are hypothesized as normal distribution, and then reliability is calculated. Consequently, the relation between restricted slope and grade is given under certain limited state. The flowchart of design criteria is shown against different districts finally.
{"title":"Designing Criteria of Continuous Long Slope Alignment at Alpine and High Altitude Area Based on Reliability Analysis","authors":"Duo Xu, S. Fang, Yuren Chen, Shengbin Zhang","doi":"10.1109/ICTIS.2019.8883713","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883713","url":null,"abstract":"The main objective of this paper is to bring forward the flexible method for designing the continuous downgrade alignment at alpine high altitude area. Brake fade of trucks is the most important cause of accidents on this special alignment, and therefore, temperature rise model is the theoretical core for alignment criteria selection. Several researches have been carried out for laws of temperature rising of trucks on downgrade at low altitude area under normal climate. Additionally, deterministic method is always the basis of guidelines for road designers. However, when situation changes to alpine and high altitude condition, temperature does not rise as imagined, and deterministic method has limitations in specific circumstances. This paper collects data on two roads in Tibet, one for lower gradient, the other for higher gradient. As drivers have different driving behaviors on the two roads, this paper divides temperature rise model into two parts based on the gradient. After two Chinese temperature rise models are corrected by data from Tibet with R-squares beyond 0.8, reliability analysis is then carried out. Speed and weight are hypothesized as normal distribution, and then reliability is calculated. Consequently, the relation between restricted slope and grade is given under certain limited state. The flowchart of design criteria is shown against different districts finally.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"323 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115226211","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 : 2019-07-01DOI: 10.1109/ICTIS.2019.8883695
Xian Lin, Jin-fen Zhang, Yong Zeng, Weidong Hu
Collision avoidance decision support system has been one of the hot topics in intelligent technologies. Moreover, trying to reduce the involvement of human operators is one of the most effective ways to reduce maritime accidents as well as enhance the intelligence of the ships. In this paper, a simulation platform is construct for the purpose of testing the performance of collision avoidance decision making under multi-ship encounter situations. The software of python is used in the development of the platform. The platform enables the maneuvering of ships manually, as well as guiding the ships using anti-collision decision making algorithms. In the simulation platform, the parameters of Distance to Closest Point of Approach (DCPA) and Time to CPA (TCPA) are used to reflect the collision risk. The collision risk is visualized in a real-time mode, so that the decisions can be made based on the evolution of collision risk. The platform can conduct simulation based on the information of the ships and the encounter situation. It can also evaluate and verify the feasibility of the collision avoidance decision-making scheme. The platform can be a useful testbed for evaluating the performance of collision avoidance decision making procedures in open waters.
{"title":"A simulation platform for multi-ship collision decision making","authors":"Xian Lin, Jin-fen Zhang, Yong Zeng, Weidong Hu","doi":"10.1109/ICTIS.2019.8883695","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883695","url":null,"abstract":"Collision avoidance decision support system has been one of the hot topics in intelligent technologies. Moreover, trying to reduce the involvement of human operators is one of the most effective ways to reduce maritime accidents as well as enhance the intelligence of the ships. In this paper, a simulation platform is construct for the purpose of testing the performance of collision avoidance decision making under multi-ship encounter situations. The software of python is used in the development of the platform. The platform enables the maneuvering of ships manually, as well as guiding the ships using anti-collision decision making algorithms. In the simulation platform, the parameters of Distance to Closest Point of Approach (DCPA) and Time to CPA (TCPA) are used to reflect the collision risk. The collision risk is visualized in a real-time mode, so that the decisions can be made based on the evolution of collision risk. The platform can conduct simulation based on the information of the ships and the encounter situation. It can also evaluate and verify the feasibility of the collision avoidance decision-making scheme. The platform can be a useful testbed for evaluating the performance of collision avoidance decision making procedures in open waters.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115927381","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 : 2019-07-01DOI: 10.1109/ICTIS.2019.8883733
Qi Zhang, Yafen Wang, Chaozhong Wu, Hui Zhang
Driving fatigue is a major safety issue in transportation field. Many countries have enacted corresponding laws on driving time, but the duration is fixed. In this study, 19 middle-aged drivers (14 males and 5 females) are recruited to participate in the field experiments, considering the different starting driving time, all the subjects are divided into three groups, start driving in the morning, afternoon and night. Each group completes the same driving route. During all experiments, the reported Karolinska Sleepiness Scale (KSS) of drivers are recorded every 5 minutes by same observer, and the KSSs are converted into consecutive fatigue values by cubic spline interpolation. Eliminating the influence of circadian rhythm and sleep, the driving fatigue prediction models vary only with Driving Time are obtained. Finally, for the drivers who start driving in the morning could only drive 3.36 hours, and drivers can only drive 3.06 hours when they start in the night. The fatigue prediction model could be further used to evaluate the risk period before each driving schedule, and optimize the schedule to avoid fatigue driving and guarantee the transportation safety.
{"title":"Research on Maximum Driving Time Based on Driving Fatigue Model from Field Experiment","authors":"Qi Zhang, Yafen Wang, Chaozhong Wu, Hui Zhang","doi":"10.1109/ICTIS.2019.8883733","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883733","url":null,"abstract":"Driving fatigue is a major safety issue in transportation field. Many countries have enacted corresponding laws on driving time, but the duration is fixed. In this study, 19 middle-aged drivers (14 males and 5 females) are recruited to participate in the field experiments, considering the different starting driving time, all the subjects are divided into three groups, start driving in the morning, afternoon and night. Each group completes the same driving route. During all experiments, the reported Karolinska Sleepiness Scale (KSS) of drivers are recorded every 5 minutes by same observer, and the KSSs are converted into consecutive fatigue values by cubic spline interpolation. Eliminating the influence of circadian rhythm and sleep, the driving fatigue prediction models vary only with Driving Time are obtained. Finally, for the drivers who start driving in the morning could only drive 3.36 hours, and drivers can only drive 3.06 hours when they start in the night. The fatigue prediction model could be further used to evaluate the risk period before each driving schedule, and optimize the schedule to avoid fatigue driving and guarantee the transportation safety.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124345934","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 : 2019-07-01DOI: 10.1109/ICTIS.2019.8883832
Huaxin Pei, Jishiyu Ding, Jianming Hu, Yi Zhang
The autonomous driving under the environment of Intelligent Vehicle-Infrastructure Cooperative Systems (i-VICS) is a brand-new technical route that can reduce the dependence of driverless autopilot on high-precision sensors to detect the path surroundings and intelligent calculations to make the operational decisions. Based on i-VICS, the most of data to support the autonomous driving is then provided from road-side units (RSUs) based on V2I communication. It is a highly reliable and real-time solution at low cost compared with the traditional approaches of autonomous driving. This paper discusses the control of path tracking as the basic testament induced from the newly developed technical route. The design of a path tracking algorithm based on an improved model to derive the lateral deviation via multiple assigned preview points on reference path is explored to reduce the impact of noises from reference path data. The strategy to select the optimal look-ahead distance used for deviation calculation is also analyzed. A fuzzy PD controller is then introduced to support the control of steering and the speed control based on path geometry is designed for the longitudinal control. The simulation and field tests results demonstrate a satisfactory performance finally.
{"title":"Fuzzy PD Controller Based Path Tracking for Autonomous Vehicle under i-VICS","authors":"Huaxin Pei, Jishiyu Ding, Jianming Hu, Yi Zhang","doi":"10.1109/ICTIS.2019.8883832","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883832","url":null,"abstract":"The autonomous driving under the environment of Intelligent Vehicle-Infrastructure Cooperative Systems (i-VICS) is a brand-new technical route that can reduce the dependence of driverless autopilot on high-precision sensors to detect the path surroundings and intelligent calculations to make the operational decisions. Based on i-VICS, the most of data to support the autonomous driving is then provided from road-side units (RSUs) based on V2I communication. It is a highly reliable and real-time solution at low cost compared with the traditional approaches of autonomous driving. This paper discusses the control of path tracking as the basic testament induced from the newly developed technical route. The design of a path tracking algorithm based on an improved model to derive the lateral deviation via multiple assigned preview points on reference path is explored to reduce the impact of noises from reference path data. The strategy to select the optimal look-ahead distance used for deviation calculation is also analyzed. A fuzzy PD controller is then introduced to support the control of steering and the speed control based on path geometry is designed for the longitudinal control. The simulation and field tests results demonstrate a satisfactory performance finally.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114373918","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 : 2019-07-01DOI: 10.1109/ICTIS.2019.8883438
Huahui Xie, Jie Fang, Huixuan Ye, Yunjie Lyu
Freeway congestion has become a serious problem for city manager due to the continuous growth of traffic demand. Different kinds of traffic control management measures, such as variable speed limits and ramp metering, have been proposed and partly implemented to handle this problem. Mobility, safety and emission are used as the control objectives. This paper investigates multi-objective optimization with the coordinated control of variable speed limits and ramp metering. Moreover, model predictive control is used as the control framework in a rolling horizon system. Furthermore, multi-objective particle swarm optimal algorithm is adopted to acquire the best control signal for mobility, safety and emission performance. The proposed method is evaluated through simulation and calibrated using the real-world data at a freeway stretch. The experiment result indicates that the mobility of the study network was improved, and the collision risk and carbon emission are reduced by the integration of variable speed limits and ramp metering.
{"title":"Investigation on Multi-objective Freeway Control Strategy using Macroscopic and Microscopic Traffic Flow Data","authors":"Huahui Xie, Jie Fang, Huixuan Ye, Yunjie Lyu","doi":"10.1109/ICTIS.2019.8883438","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883438","url":null,"abstract":"Freeway congestion has become a serious problem for city manager due to the continuous growth of traffic demand. Different kinds of traffic control management measures, such as variable speed limits and ramp metering, have been proposed and partly implemented to handle this problem. Mobility, safety and emission are used as the control objectives. This paper investigates multi-objective optimization with the coordinated control of variable speed limits and ramp metering. Moreover, model predictive control is used as the control framework in a rolling horizon system. Furthermore, multi-objective particle swarm optimal algorithm is adopted to acquire the best control signal for mobility, safety and emission performance. The proposed method is evaluated through simulation and calibrated using the real-world data at a freeway stretch. The experiment result indicates that the mobility of the study network was improved, and the collision risk and carbon emission are reduced by the integration of variable speed limits and ramp metering.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115052371","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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