Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231375
Yongdong Sun, Jin Zhang, Qiuyu Tang, Yan Yan
This paper based on matching degree of the vehicle-cargo matching platform with profit and risk, examines the impact of different factors on the revenue and risk cost of the vehicle-cargo matching platform through a multi-objective optimal model to maximize the matching degree and benefit, minimizing the risk cost, through the improved the NSGA- II algorithm to solve bilevel multi-objective optimization problem, and through the sensitivity analysis to obtain the results. The results show that: 1) the relationship between the total revenue and the total risk cost of the platform increases linearly; 2) the preference of vehicle-source and cargo-source also affects the matching of supply demand of both sides; 3) the total revenue and total cost of the platform increase with the increase of consultation fee, but the increase rate gradually decreases; 4) ignoring the impact of blockchain, vehicle-source enterprises need to pay more guarantee costs, and the platform's income and risk are better than the condition with the impact of blockchain.
{"title":"Research on Benefit-Risk of Vehicle-Cargo Matching Platform Based on Matching Degree","authors":"Yongdong Sun, Jin Zhang, Qiuyu Tang, Yan Yan","doi":"10.1109/ICITE50838.2020.9231375","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231375","url":null,"abstract":"This paper based on matching degree of the vehicle-cargo matching platform with profit and risk, examines the impact of different factors on the revenue and risk cost of the vehicle-cargo matching platform through a multi-objective optimal model to maximize the matching degree and benefit, minimizing the risk cost, through the improved the NSGA- II algorithm to solve bilevel multi-objective optimization problem, and through the sensitivity analysis to obtain the results. The results show that: 1) the relationship between the total revenue and the total risk cost of the platform increases linearly; 2) the preference of vehicle-source and cargo-source also affects the matching of supply demand of both sides; 3) the total revenue and total cost of the platform increase with the increase of consultation fee, but the increase rate gradually decreases; 4) ignoring the impact of blockchain, vehicle-source enterprises need to pay more guarantee costs, and the platform's income and risk are better than the condition with the impact of blockchain.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131129963","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 : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231417
Xuewu Lin, Jianqiang Wang, Qing Xu, Gaolei Shi, Yi Jin
Tire-road friction coefficient (TRFC) estimation is significant to ADAS and high-level autonomous driving. This paper presents a dynamics-based method of real-time TRFC estimation. 2D-LuGre model and unscented Kalman Filtering have been utilized to achieve real time TRFC estimation during both straight driving and steering condition. Observability of the established system based on LuGre model is proved. The observable condition is compatible with reality and simulation result, which can be considered as the theoretical effective boundary of all dynamics-based methods. The performance of our method has been verified by simulation experiment, and results show that our method can achieve high accuracy, convergence speed and robustness.
{"title":"Real-Time Estimation of Tire-Road Friction Coefficient Based on Unscented Kalman Filtering","authors":"Xuewu Lin, Jianqiang Wang, Qing Xu, Gaolei Shi, Yi Jin","doi":"10.1109/ICITE50838.2020.9231417","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231417","url":null,"abstract":"Tire-road friction coefficient (TRFC) estimation is significant to ADAS and high-level autonomous driving. This paper presents a dynamics-based method of real-time TRFC estimation. 2D-LuGre model and unscented Kalman Filtering have been utilized to achieve real time TRFC estimation during both straight driving and steering condition. Observability of the established system based on LuGre model is proved. The observable condition is compatible with reality and simulation result, which can be considered as the theoretical effective boundary of all dynamics-based methods. The performance of our method has been verified by simulation experiment, and results show that our method can achieve high accuracy, convergence speed and robustness.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131800785","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 : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231422
Feijie Wang, Hongyang Yu, Lingxiao He, Yongqiang Bao
This article presents research on a station express model of a single loop mode based on implicit numeration. The station dwelling and surpassing location setting and saved time of passenger flow are calculated by research on the station express solution, departure frequency, and station-surpassing setting as well as analysis of the effect of the station express solution in the Jinhua- Yiwu-Dongyang Rail Transit Line. Passenger time is substantially reduced and the travel efficiency is remarkably increased in this solution.
{"title":"Research on a Station Express Model of a Single Loop Mode Based on Implicit Numeration","authors":"Feijie Wang, Hongyang Yu, Lingxiao He, Yongqiang Bao","doi":"10.1109/ICITE50838.2020.9231422","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231422","url":null,"abstract":"This article presents research on a station express model of a single loop mode based on implicit numeration. The station dwelling and surpassing location setting and saved time of passenger flow are calculated by research on the station express solution, departure frequency, and station-surpassing setting as well as analysis of the effect of the station express solution in the Jinhua- Yiwu-Dongyang Rail Transit Line. Passenger time is substantially reduced and the travel efficiency is remarkably increased in this solution.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131821068","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 : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231418
Yiwei Guo
This paper describes a reinforcement learning (RL) approach to train timetabling, which takes into account the characteristics of inter-city high speed railway lines in China. A potential advantage of the proposed approach over well-established mathematical programming approaches lies in that it does not rely heavily on domain expertise to define the various timetabling rules and strategies. Specifically, a discrete time Markov Decision Process (MDP) is established to model the studied problem, and a well-designed RL method is proposed to solve the problem, assuming that the fundamental information about the studied lines (minimum running times, headways, stopping patterns, etc.) is known. Four inter-city high speed railway lines that operate on the Beijing-Tianjin corridor are employed as a case study to test the performance of the proposed approach. The obtained results preliminarily demonstrate the effectiveness and applicability of the proposed approach.
{"title":"A Reinforcement Learning Approach to Train Timetabling for Inter-City High Speed Railway Lines","authors":"Yiwei Guo","doi":"10.1109/ICITE50838.2020.9231418","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231418","url":null,"abstract":"This paper describes a reinforcement learning (RL) approach to train timetabling, which takes into account the characteristics of inter-city high speed railway lines in China. A potential advantage of the proposed approach over well-established mathematical programming approaches lies in that it does not rely heavily on domain expertise to define the various timetabling rules and strategies. Specifically, a discrete time Markov Decision Process (MDP) is established to model the studied problem, and a well-designed RL method is proposed to solve the problem, assuming that the fundamental information about the studied lines (minimum running times, headways, stopping patterns, etc.) is known. Four inter-city high speed railway lines that operate on the Beijing-Tianjin corridor are employed as a case study to test the performance of the proposed approach. The obtained results preliminarily demonstrate the effectiveness and applicability of the proposed approach.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131924775","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 : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231501
Qi Fang, Qingyuan Shang, Sha Wang, Fagen Fang
This paper describes the verification scheme for the interface between the main control board and driver board of the all-electronic interlocking platform, namely use the interface-based automated verification platform to verify that the design for the interface between the main control board and driver board of the all-electronic interlocking platform meets the design requirements. Moreover, the automated verification platform can significantly improve the test efficiency and dig out more product defects on the basis of ensuring test credibility, saving the time and cost in equipment development.
{"title":"Interface Verification between the Main Control Board and Driver Board of the All-electronic Interlocking Computer Platform","authors":"Qi Fang, Qingyuan Shang, Sha Wang, Fagen Fang","doi":"10.1109/ICITE50838.2020.9231501","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231501","url":null,"abstract":"This paper describes the verification scheme for the interface between the main control board and driver board of the all-electronic interlocking platform, namely use the interface-based automated verification platform to verify that the design for the interface between the main control board and driver board of the all-electronic interlocking platform meets the design requirements. Moreover, the automated verification platform can significantly improve the test efficiency and dig out more product defects on the basis of ensuring test credibility, saving the time and cost in equipment development.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127302334","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 : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231459
Rui Tao, Yuqing Song
Traffic data analysis is a key step for intelligent transportation systems, and identifying traffic peaks is essential for subsequent traffic pattern analysis. Existing traffic peak detection methods consists of data smoothing and peak picking. We present a max-tree based traffic peak picking method, which constructs the max-tree of the input traffic flow data. Each node in the max tree is a component of an upper level set. We define the prominence of a component as the height difference between a top point and the higher of the left and right foot points of the component. The saliency of a peak is measured by the component prominence. The method generates candidate peaks of positive prominence. The method works directly on noisy traffic data, and the output candidate peaks and their prominences offer the subsequent analysis step the flexibility to choose peaks at any scale.
{"title":"An Automatic Traffic Peak Picking Method Based on Max Tree","authors":"Rui Tao, Yuqing Song","doi":"10.1109/ICITE50838.2020.9231459","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231459","url":null,"abstract":"Traffic data analysis is a key step for intelligent transportation systems, and identifying traffic peaks is essential for subsequent traffic pattern analysis. Existing traffic peak detection methods consists of data smoothing and peak picking. We present a max-tree based traffic peak picking method, which constructs the max-tree of the input traffic flow data. Each node in the max tree is a component of an upper level set. We define the prominence of a component as the height difference between a top point and the higher of the left and right foot points of the component. The saliency of a peak is measured by the component prominence. The method generates candidate peaks of positive prominence. The method works directly on noisy traffic data, and the output candidate peaks and their prominences offer the subsequent analysis step the flexibility to choose peaks at any scale.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114401989","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 : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231412
Hai Rong Lee, Andrew Keong Ng, Raymond Kong Hee Tay
Train overhaul is of utmost importance to ensure the reliability and availability of train services. As most trains have reached the midway point of their expected useful life, additional mid-life overhauls are scheduled, hence extending the overhaul duration and potentially reducing the number of service trains and increasing the number of crowded train station platforms. This paper, therefore, attempts to optimize pneumatic overhaul workflows in rolling stock workshop through dynamic modeling, simulation, and analysis of workflows; implementation of effective working tools; as well as recommendation of ideal facility layouts. With the aid of FlexSim three-dimensional software package, the coupler overhaul process efficiency is found to improve by 3.9% after implementing a torque multiplier in the coupler overhaul. The pneumatic overhaul process efficiency also increases by 10.8%, equivalent to a reduction of 17.6 working hours, after relocating the brake overhaul station and redeploying idle technicians.
{"title":"Optimization of Pneumatic Overhaul Workflows in Rolling Stock Workshop for Increased Process Efficiency","authors":"Hai Rong Lee, Andrew Keong Ng, Raymond Kong Hee Tay","doi":"10.1109/ICITE50838.2020.9231412","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231412","url":null,"abstract":"Train overhaul is of utmost importance to ensure the reliability and availability of train services. As most trains have reached the midway point of their expected useful life, additional mid-life overhauls are scheduled, hence extending the overhaul duration and potentially reducing the number of service trains and increasing the number of crowded train station platforms. This paper, therefore, attempts to optimize pneumatic overhaul workflows in rolling stock workshop through dynamic modeling, simulation, and analysis of workflows; implementation of effective working tools; as well as recommendation of ideal facility layouts. With the aid of FlexSim three-dimensional software package, the coupler overhaul process efficiency is found to improve by 3.9% after implementing a torque multiplier in the coupler overhaul. The pneumatic overhaul process efficiency also increases by 10.8%, equivalent to a reduction of 17.6 working hours, after relocating the brake overhaul station and redeploying idle technicians.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125258184","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 : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231421
Jinfeng Wang, Lianying Sun
Urban rail transit is an important part of urban public transport, which has the advantages of large passenger traffic volume, punctuality and efficiency, but it also has the disadvantage of weak resistance to some disasters. In the event of accidents, how to effectively evacuate a large number of passengers has become the hot issue among the researchers in recent years. Based on the literature of passenger evacuation model in city rail transit at home and abroad, On this basis, combined with the safety characteristics of urban rail transit in China, we the development trend of passenger emergency evacuation modeling technology.
{"title":"Trend Analysis of Passenger Evacuation Modeling Technology in Urban Rail Transit","authors":"Jinfeng Wang, Lianying Sun","doi":"10.1109/ICITE50838.2020.9231421","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231421","url":null,"abstract":"Urban rail transit is an important part of urban public transport, which has the advantages of large passenger traffic volume, punctuality and efficiency, but it also has the disadvantage of weak resistance to some disasters. In the event of accidents, how to effectively evacuate a large number of passengers has become the hot issue among the researchers in recent years. Based on the literature of passenger evacuation model in city rail transit at home and abroad, On this basis, combined with the safety characteristics of urban rail transit in China, we the development trend of passenger emergency evacuation modeling technology.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125373968","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 : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231330
M. Su, Y. Yue
In recent years, with the continuous growth of passenger flow, there are different degrees of congestion and unreasonable utilization of car resources in subway cars. In order to solve the above problems, this paper uses the method of displaying the congestion degree to the passengers, so that the passengers can know the congestion situation of the arriving subway cars in advance, so as to select the cars reasonably. Based on this, a subway car passenger guidance system based on array resistance pressure sensor is designed.Firstly, this paper determines the overall structure of the system, and also describes the work flow of the whole system; secondly, according to the hardware part of the pressure sensing part of the subsystem, this paper makes a more detailed design, determines the sensors selected in this paper, designs the structure of the pressure collection array and the wiring mode, and designs the hardware circuit of this part; Finally, the workflow of congestion display is introduced. The application of this system will be of great significance to improve the comfort of passengers, make rational use of car resources and ease the congestion of car so as to reduce the security risks.
{"title":"Design of Subway Passenger Guidance System Based on Array Resistance Pressure Sensor","authors":"M. Su, Y. Yue","doi":"10.1109/ICITE50838.2020.9231330","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231330","url":null,"abstract":"In recent years, with the continuous growth of passenger flow, there are different degrees of congestion and unreasonable utilization of car resources in subway cars. In order to solve the above problems, this paper uses the method of displaying the congestion degree to the passengers, so that the passengers can know the congestion situation of the arriving subway cars in advance, so as to select the cars reasonably. Based on this, a subway car passenger guidance system based on array resistance pressure sensor is designed.Firstly, this paper determines the overall structure of the system, and also describes the work flow of the whole system; secondly, according to the hardware part of the pressure sensing part of the subsystem, this paper makes a more detailed design, determines the sensors selected in this paper, designs the structure of the pressure collection array and the wiring mode, and designs the hardware circuit of this part; Finally, the workflow of congestion display is introduced. The application of this system will be of great significance to improve the comfort of passengers, make rational use of car resources and ease the congestion of car so as to reduce the security risks.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117329078","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}
It is difficult to find the rules of passenger flow in the urban rail transit (URT) due to the difficulty in the travel choice collection. In order to study the route choice rule, a passenger intention survey has been conducted in Beijing urban rail transit (BURT), which includes the socio-economic attributes, perception of transfer and congestion, and choice intention of passengers. BURT passengers are divided into eight groups based on the socio-economic attributes. Of these groups, the route choice trend of the young and middle-aged passengers with low and medium income is similar, and these passengers account for 75 percent, which is the major passenger group. Then the main factors influencing route choice are extracted, and quantified by uniform cost standard. And route choice model of the major passenger group is constructed based on Logit model. Finally the BURT network is used to verify the validity of this model.
{"title":"Route Choice Model of the Major Passenger Group in Urban Rail Transit: A Case Study of Beijing, China","authors":"Chen Li, Xinjian Liu, Yunyun Bai, Bo Wang, Jianling Huang, Yanyan Chen","doi":"10.1109/ICITE50838.2020.9231366","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231366","url":null,"abstract":"It is difficult to find the rules of passenger flow in the urban rail transit (URT) due to the difficulty in the travel choice collection. In order to study the route choice rule, a passenger intention survey has been conducted in Beijing urban rail transit (BURT), which includes the socio-economic attributes, perception of transfer and congestion, and choice intention of passengers. BURT passengers are divided into eight groups based on the socio-economic attributes. Of these groups, the route choice trend of the young and middle-aged passengers with low and medium income is similar, and these passengers account for 75 percent, which is the major passenger group. Then the main factors influencing route choice are extracted, and quantified by uniform cost standard. And route choice model of the major passenger group is constructed based on Logit model. Finally the BURT network is used to verify the validity of this model.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121250038","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：