Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231519
Jin Zhang, Hongming Zhang, Xinyi Chang
Aiming at the problems of the integration of ecotype supply chain platform, such as the uneven ability of suppliers, and the increasingly diversified market demand makes the platform cost difficult to reduce, etc., by positioning customer order decoupling point (CODP), considering the characteristics of ecotype supply chain with multiple orders, logistics services and manufacturing and production, a double objective and multiple decoupling point is constructed, which aims at the lowest total cost and the highest customer value positioning model, balancing cost and personalized demand, providing better customized rate decision-making scheme, and using the data provided by platform A, improving genetic algorithm, to verify the model solution. The customization rate and order quantity of platform operators under the decision-making of customer value preference and cost preference are solved. It is proved that the multi decoupling point positioning model can provide decision-making scheme for platform operators with different preferences, reduce the cost of ecological supply chain and improve customer satisfaction.
{"title":"Multi Decoupling Point Optimization Model and Its Application in Ecotype Supply Chain - Platform A Case Study","authors":"Jin Zhang, Hongming Zhang, Xinyi Chang","doi":"10.1109/ICITE50838.2020.9231519","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231519","url":null,"abstract":"Aiming at the problems of the integration of ecotype supply chain platform, such as the uneven ability of suppliers, and the increasingly diversified market demand makes the platform cost difficult to reduce, etc., by positioning customer order decoupling point (CODP), considering the characteristics of ecotype supply chain with multiple orders, logistics services and manufacturing and production, a double objective and multiple decoupling point is constructed, which aims at the lowest total cost and the highest customer value positioning model, balancing cost and personalized demand, providing better customized rate decision-making scheme, and using the data provided by platform A, improving genetic algorithm, to verify the model solution. The customization rate and order quantity of platform operators under the decision-making of customer value preference and cost preference are solved. It is proved that the multi decoupling point positioning model can provide decision-making scheme for platform operators with different preferences, reduce the cost of ecological supply chain and improve customer satisfaction.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"2001 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":"125741800","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/ICITE50838.2020.9231383
Fangyuan Li, Kun Jiang
Traffic accident injury is the eighth leading cause of death in the world, which seriously affects economic development and life stability. In order to explore the influencing factors of the severity of major road traffic accidents in China, potential influencing factors were selected from the statistical data of 366 major accidents. Fixed-parameter and random-parameter negative binomial model were respectively used to build models for accidents data. The results show that geographical zone, time and date of accident, road administrative grade, season, accident type, road alignment and number of traffic violation behavior are significantly related to the accident severity. Strict management of drivers is an effective way to improve the degree of accident injury.
{"title":"Application of Random-parameter Negative Binomial Model to Examine the Relationship between the Severity of Traffic Accident","authors":"Fangyuan Li, Kun Jiang","doi":"10.1109/ICITE50838.2020.9231383","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231383","url":null,"abstract":"Traffic accident injury is the eighth leading cause of death in the world, which seriously affects economic development and life stability. In order to explore the influencing factors of the severity of major road traffic accidents in China, potential influencing factors were selected from the statistical data of 366 major accidents. Fixed-parameter and random-parameter negative binomial model were respectively used to build models for accidents data. The results show that geographical zone, time and date of accident, road administrative grade, season, accident type, road alignment and number of traffic violation behavior are significantly related to the accident severity. Strict management of drivers is an effective way to improve the degree of accident injury.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"8 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":"125983913","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/ICITE50838.2020.9231345
Xiaojun Zhang, Dongna Li, Xingjun Zhang, W. Hong, Luchun Yan, Shanglin Song
In order to solve the problems of poor adhesion and durability at conventional micro surfaces, The process of spraying modified emulsified asphalt, paving and mixing super-abrasive layer containing glass fiber, novasurfacing are used. The SCB semi-circular bending test compares the performance comparison between the novasurfacing and the conventional micro-surfacing. The coefficients of friction, flatness, and PCI are used to compare the performance changes before and after the repair of the road section. Use the net annual value method to evaluate its economic benefits. The results show that the supervised abrasion layer has advantages in both performance and economic benefits.
{"title":"Application and Evaluation of NovaSurfacing Technology","authors":"Xiaojun Zhang, Dongna Li, Xingjun Zhang, W. Hong, Luchun Yan, Shanglin Song","doi":"10.1109/ICITE50838.2020.9231345","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231345","url":null,"abstract":"In order to solve the problems of poor adhesion and durability at conventional micro surfaces, The process of spraying modified emulsified asphalt, paving and mixing super-abrasive layer containing glass fiber, novasurfacing are used. The SCB semi-circular bending test compares the performance comparison between the novasurfacing and the conventional micro-surfacing. The coefficients of friction, flatness, and PCI are used to compare the performance changes before and after the repair of the road section. Use the net annual value method to evaluate its economic benefits. The results show that the supervised abrasion layer has advantages in both performance and economic benefits.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"42 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":"127895202","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/ICITE50838.2020.9231504
Yang Cai, Q. Luo, Wei Li, Lei Gong
Train operation plan is one of important components of the daily operation organization of the urban rail transit system. Dynamic train operation plans during different time periods to meet the needs of passenger travel can reduce train operation costs and improve economic benefits. Defining the total cost as a combination of the cost of passenger time value and the cost of train operation, this paper sets the minimum value of the total operating cost as the goal and establishes an optimization model for evaluating and choosing train operation plans. This optimization model is validated by an example of Shenzhen Metro Line 1 whose weekday peak train operation plan is investigated. Train operation alternative plans, i.e. small marshalling of trains, a combination of long-and-short routing, and connected routing, are evaluated with the optimization model. Lingo software is used to solve the mathematical problem to obtain the optimized the train operation plan, and making decisions based on the results provide a suitable driving organization. Meanwhile, sensitivity analysis is also implemented to check the influence of different values of parameters utilized in the calculation. The example shows that the small marshalling of trains alternative has a significant optimization benefit in the context of the Shenzhen Metro Line 1 whose working day evening peak train operation scheme is investigated.
{"title":"Optimize Train Operation Plan of Urban Rail Transit Including Temporal Variation of Passenger Ridership During the Day","authors":"Yang Cai, Q. Luo, Wei Li, Lei Gong","doi":"10.1109/ICITE50838.2020.9231504","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231504","url":null,"abstract":"Train operation plan is one of important components of the daily operation organization of the urban rail transit system. Dynamic train operation plans during different time periods to meet the needs of passenger travel can reduce train operation costs and improve economic benefits. Defining the total cost as a combination of the cost of passenger time value and the cost of train operation, this paper sets the minimum value of the total operating cost as the goal and establishes an optimization model for evaluating and choosing train operation plans. This optimization model is validated by an example of Shenzhen Metro Line 1 whose weekday peak train operation plan is investigated. Train operation alternative plans, i.e. small marshalling of trains, a combination of long-and-short routing, and connected routing, are evaluated with the optimization model. Lingo software is used to solve the mathematical problem to obtain the optimized the train operation plan, and making decisions based on the results provide a suitable driving organization. Meanwhile, sensitivity analysis is also implemented to check the influence of different values of parameters utilized in the calculation. The example shows that the small marshalling of trains alternative has a significant optimization benefit in the context of the Shenzhen Metro Line 1 whose working day evening peak train operation scheme is investigated.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"48 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":"128164405","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/ICITE50838.2020.9231327
Tiandong Xu, Yuan Hao, Yao Yu, Huibing Li, Xinshuo Xu
This paper proposes a real-time group route diversion control (GRDC) methodology to determine route diversion strategies based on the controller's objectives and drivers' dynamic response behavior. The GRDC optimization procedure is to update the GRDC strategies to minimize the difference between the desired diversion rates and the diversion rates obtained from the drivers' route diversion behavior (DRDB) model, which comprises a GRDC model that determines the desired diversion rates to satisfy some system objectives of the GRDC controller, and a controller-estimated drivers' route diversion behavior (DRDB) model that predicts the likely driver route choice decisions in light of the updated GRDC strategies. The experimental results show that the group route diversion control considering dynamic response behavior can effectively provide guidance for drivers, improve the accuracy of traffic state prediction, and obtain better system performance over the same period of operations.
{"title":"Real-time Group Route Diversion Control Considering Dynamic Response Behavior","authors":"Tiandong Xu, Yuan Hao, Yao Yu, Huibing Li, Xinshuo Xu","doi":"10.1109/ICITE50838.2020.9231327","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231327","url":null,"abstract":"This paper proposes a real-time group route diversion control (GRDC) methodology to determine route diversion strategies based on the controller's objectives and drivers' dynamic response behavior. The GRDC optimization procedure is to update the GRDC strategies to minimize the difference between the desired diversion rates and the diversion rates obtained from the drivers' route diversion behavior (DRDB) model, which comprises a GRDC model that determines the desired diversion rates to satisfy some system objectives of the GRDC controller, and a controller-estimated drivers' route diversion behavior (DRDB) model that predicts the likely driver route choice decisions in light of the updated GRDC strategies. The experimental results show that the group route diversion control considering dynamic response behavior can effectively provide guidance for drivers, improve the accuracy of traffic state prediction, and obtain better system performance over the same period of operations.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"29 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":"134224142","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/ICITE50838.2020.9231401
Yuxuan Xing, Zhiyuan Sun, Duo Wang
The objective of this study was to identify influence factors on injury severity of electric and non-electric bicycle crashes and discuss the differences between them in Beijing, China. Generalized linear model (GLM) and classification and regression tree (CART) were proposed to investigate significant influence factors and the importance order of influence factors, respectively. Based on GLM, seven factors were significant in electric bicycle crashes whereas five factors were significant in non-electric bicycle crashes. CART implied the most important factors was type of motor vehicle both in electric and non-electric bicycle crashes. However, other important factors showed different characteristic in the two type of crashes. This paper gives detailed information for electric and non-electric bicycle crashes, which provides reference for government to implement measures precisely.
{"title":"Investigating Influence Factors on Injury Severity of Electric and Non-electric Bicycle Crashes in Beijing","authors":"Yuxuan Xing, Zhiyuan Sun, Duo Wang","doi":"10.1109/ICITE50838.2020.9231401","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231401","url":null,"abstract":"The objective of this study was to identify influence factors on injury severity of electric and non-electric bicycle crashes and discuss the differences between them in Beijing, China. Generalized linear model (GLM) and classification and regression tree (CART) were proposed to investigate significant influence factors and the importance order of influence factors, respectively. Based on GLM, seven factors were significant in electric bicycle crashes whereas five factors were significant in non-electric bicycle crashes. CART implied the most important factors was type of motor vehicle both in electric and non-electric bicycle crashes. However, other important factors showed different characteristic in the two type of crashes. This paper gives detailed information for electric and non-electric bicycle crashes, which provides reference for government to implement measures precisely.","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":"116979008","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/ICITE50838.2020.9231349
Muhammad Naeem Tahir, Sahar Fatima, Nouman Bashir
Successful growth for an enduring system and service framework requires an ecofriendly permanent infrastructure. The key goal of this article is to develop ITS-G5 and 5G test network services related to road weather and pilot use-cases for the special requirements of multi-authority, intelligent traffic, and vehicle winter testing. We have conducted a set of pilot use-cases by considering 5G test network and ITS-G5 networking and performed analysis between them. These pilot measurements, made it possible for Finnish Meteorological Institute (FMI) to present the pilot road weather services and test experiences and services established in numerous research projects of FMI. The followed research strategy has been practical from innovation, to testing and to appraisal. Main portion of these pilot use-cases have involved a large scale field measurements, system testing and road weather information. As a result, this pilot set-up would be able to provide precise road weather alerts with accurate location and services like forecasting into the road infrastructure. These pilot measurements distributed the real-time road weather data and services through advanced 5G test network or ITS-G5 communication to the vehicles and traffic actors.
{"title":"Car-to-Car Communication Using ITS-G5 & 5G","authors":"Muhammad Naeem Tahir, Sahar Fatima, Nouman Bashir","doi":"10.1109/ICITE50838.2020.9231349","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231349","url":null,"abstract":"Successful growth for an enduring system and service framework requires an ecofriendly permanent infrastructure. The key goal of this article is to develop ITS-G5 and 5G test network services related to road weather and pilot use-cases for the special requirements of multi-authority, intelligent traffic, and vehicle winter testing. We have conducted a set of pilot use-cases by considering 5G test network and ITS-G5 networking and performed analysis between them. These pilot measurements, made it possible for Finnish Meteorological Institute (FMI) to present the pilot road weather services and test experiences and services established in numerous research projects of FMI. The followed research strategy has been practical from innovation, to testing and to appraisal. Main portion of these pilot use-cases have involved a large scale field measurements, system testing and road weather information. As a result, this pilot set-up would be able to provide precise road weather alerts with accurate location and services like forecasting into the road infrastructure. These pilot measurements distributed the real-time road weather data and services through advanced 5G test network or ITS-G5 communication to the vehicles and traffic actors.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"86 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":"127010478","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/ICITE50838.2020.9231360
Tianshu Zhang, Kun Gao
The emerging autonomous vehicles (AVs) are expected to bring pronounced evolutions in transport systems. This study explores the characteristics of mixed traffic flow with both AVs and human drivers in urban bottlenecks. We investigate the influences of penetration rate (PR) of AVs on the performances concerning traffic efficiency and safety in urban bottlenecks with road width reduction. We developed a cellular automata model (CAM) to realize the microscope simulation of the mixed traffic flow with both AVs and traditional vehicles manipulated by human drivers. The divergences in driving behavior of human drivers and AVs in terms of car-following, lane-change and free-driving are fully delineated and integrated in the simulation. The results demonstrate that the traffic flow stability firstly decreases and then increases with the PRs of AVs and in mixed traffic flow. When PR of AVs reaches 100%, the traffic flow is stabilized and shows high travel speed, indicating higher traffic efficiency. The lane-changing frequency increases when PR of AVs increases, reaching the maximum value at the PRs of 15%-25%, and then gradually drops. The lane-changing frequencies under the scenarios of all AVs are found to be smaller than the scenarios of all human drivers. The actual road capacity is reduced when PR of AVs increases at first, reaches lowest at the PR of 15%-25%, and then gradually rebounds. The risk of collision gradually increases with PRs of AVs, and then reaches the maximum value at the PR of 25%-30%. As PR of AVs continues to increase, the risk will keep decreasing to 0. The findings provide a comprehensive investigation of how the AVs will influence traffic efficiency and safety from different aspects, which are basic for the development and planning of AVs in the future.
{"title":"Will Autonomous Vehicles Improve Traffic Efficiency and Safety in Urban Road Bottlenecks? The Penetration Rate Matters","authors":"Tianshu Zhang, Kun Gao","doi":"10.1109/ICITE50838.2020.9231360","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231360","url":null,"abstract":"The emerging autonomous vehicles (AVs) are expected to bring pronounced evolutions in transport systems. This study explores the characteristics of mixed traffic flow with both AVs and human drivers in urban bottlenecks. We investigate the influences of penetration rate (PR) of AVs on the performances concerning traffic efficiency and safety in urban bottlenecks with road width reduction. We developed a cellular automata model (CAM) to realize the microscope simulation of the mixed traffic flow with both AVs and traditional vehicles manipulated by human drivers. The divergences in driving behavior of human drivers and AVs in terms of car-following, lane-change and free-driving are fully delineated and integrated in the simulation. The results demonstrate that the traffic flow stability firstly decreases and then increases with the PRs of AVs and in mixed traffic flow. When PR of AVs reaches 100%, the traffic flow is stabilized and shows high travel speed, indicating higher traffic efficiency. The lane-changing frequency increases when PR of AVs increases, reaching the maximum value at the PRs of 15%-25%, and then gradually drops. The lane-changing frequencies under the scenarios of all AVs are found to be smaller than the scenarios of all human drivers. The actual road capacity is reduced when PR of AVs increases at first, reaches lowest at the PR of 15%-25%, and then gradually rebounds. The risk of collision gradually increases with PRs of AVs, and then reaches the maximum value at the PR of 25%-30%. As PR of AVs continues to increase, the risk will keep decreasing to 0. The findings provide a comprehensive investigation of how the AVs will influence traffic efficiency and safety from different aspects, which are basic for the development and planning of AVs in the future.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"71 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":"126504050","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/ICITE50838.2020.9231513
Jinlei Wang
This paper introduces a development mode of zone controller (ZC) application software based on Boolean Logic so as to reduce the risk and difficulty caused by using advanced language (C, C++) to develop application software. It provides a new idea for the development of ZC application software for rail transit signal engineers.
{"title":"ZC Application Software Development Method Based on Boolean Logic","authors":"Jinlei Wang","doi":"10.1109/ICITE50838.2020.9231513","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231513","url":null,"abstract":"This paper introduces a development mode of zone controller (ZC) application software based on Boolean Logic so as to reduce the risk and difficulty caused by using advanced language (C, C++) to develop application software. It provides a new idea for the development of ZC application software for rail transit signal engineers.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"96 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":"124636514","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/ICITE50838.2020.9231410
Shuting Zuo
Historically, railroads and shippers have reached a consensus that the introduction of entire train service for bulk commodities can significantly save the costs of operating railcars and improve operating efficiency. This article provides a new idea for flexible pricing and increasing the proportion of entire trains while improving the long-standing problem of insufficient consideration of customer satisfaction for Chinese railway freight transportation, which may contribute to the increase in railway freight market share. In this paper, we suggest a way of providing lower prices (compared to single cars) for entire trains to induce customers to choose the entire train service to improve rail operating efficiency and save cost, which is not been implemented in China. In this case, the cost structure in the rail freight transportation process and the inventory cost of shippers are analyzed. Then, a mixed-integer programming model that maximize the profit of the logistic system composed of the railway company, the suppliers and the customers is developed to find out the optimal discount and entire train operating scheme. Finally, a small computational experiment is used to test the model. The results show that the application of entire train discounts and reasonable arrangements for entire train operation schemes can effectively improve the entire train proportion and system profit.
{"title":"An Optimization Approach to the Low-Frequency Entire Train Formation with Price Discount","authors":"Shuting Zuo","doi":"10.1109/ICITE50838.2020.9231410","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231410","url":null,"abstract":"Historically, railroads and shippers have reached a consensus that the introduction of entire train service for bulk commodities can significantly save the costs of operating railcars and improve operating efficiency. This article provides a new idea for flexible pricing and increasing the proportion of entire trains while improving the long-standing problem of insufficient consideration of customer satisfaction for Chinese railway freight transportation, which may contribute to the increase in railway freight market share. In this paper, we suggest a way of providing lower prices (compared to single cars) for entire trains to induce customers to choose the entire train service to improve rail operating efficiency and save cost, which is not been implemented in China. In this case, the cost structure in the rail freight transportation process and the inventory cost of shippers are analyzed. Then, a mixed-integer programming model that maximize the profit of the logistic system composed of the railway company, the suppliers and the customers is developed to find out the optimal discount and entire train operating scheme. Finally, a small computational experiment is used to test the model. The results show that the application of entire train discounts and reasonable arrangements for entire train operation schemes can effectively improve the entire train proportion and system profit.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"31 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120867243","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：