Due to the unpredictability of influence range of the explosion accidents of the dangerous goods in the coastal port area, it is necessary to conduct quantitative safety risk assessment in the port area. Currently there is no quantitative safety risk assessment standard for the hazardous goods in the port. This paper aims to explore and propose a regional safety risk assessment method based on the regional integration characteristics of coastal port area, comprehensively analyzes the rationality of safety capacity of port area. It is of great significance in guiding the risk control and emergency disposal work for the new or the existing port area.
{"title":"Regional accident consequence simulation and risk assessment in the port area","authors":"Yamei Zeng, Yuan Gao, Chunlei Zeng, Guoqing Sun","doi":"10.1117/12.2652498","DOIUrl":"https://doi.org/10.1117/12.2652498","url":null,"abstract":"Due to the unpredictability of influence range of the explosion accidents of the dangerous goods in the coastal port area, it is necessary to conduct quantitative safety risk assessment in the port area. Currently there is no quantitative safety risk assessment standard for the hazardous goods in the port. This paper aims to explore and propose a regional safety risk assessment method based on the regional integration characteristics of coastal port area, comprehensively analyzes the rationality of safety capacity of port area. It is of great significance in guiding the risk control and emergency disposal work for the new or the existing port area.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115357769","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}
Xuan Lin, Zhicheng Liang, Tiesheng Yan, Taiqiang Cao, Hua Cheng, Jian Mao, Rui Deng
The train speed trajectory optimization (TSTO) aims at finding the optimal speed trajectory considering the safety, energy efficiency, punctuality and stopping accuracy. From the perspective of mitigating the greenhouse effect, it’s quite significant to study the TSTO problem. This paper proposed an optimization algorithm based on Reinforcement Learning (RL). Firstly, a global optimization model using RL was established. In the model, the control sequence including the control regimes and their switching points was taken as the state. The optimization objectives were taken as the reward function. The adjustment of the position of the switching points in the control sequence was taken as the decision space of the agent. Secondly, an adjustment method of the control sequence based on the deep Q-learning and embedding matrix was proposed. The training data was sampled using the experience replay. The optimal control sequence was obtained through the iterative training of the neural network. Finally, the optimization algorithm based on RL was compared with the driving strategies based on the Pontryagin’s Maximum Principle (PMP) and the field test data. The results show that the energy consumption of the proposed algorithm is reduced by 0.16% in comparison with that of the PMP, which proves that the proposed method can be applied to the multi-objective optimization of the train operation. Comparing with the field test data, the energy consumption of the optimization algorithm is reduced by 4.89%, which demonstrates that the proposed method can be used to guide the drivers to drive the freight train energy-efficiently.
{"title":"Q-learning for the speed trajectory optimization of the freight train","authors":"Xuan Lin, Zhicheng Liang, Tiesheng Yan, Taiqiang Cao, Hua Cheng, Jian Mao, Rui Deng","doi":"10.1117/12.2652584","DOIUrl":"https://doi.org/10.1117/12.2652584","url":null,"abstract":"The train speed trajectory optimization (TSTO) aims at finding the optimal speed trajectory considering the safety, energy efficiency, punctuality and stopping accuracy. From the perspective of mitigating the greenhouse effect, it’s quite significant to study the TSTO problem. This paper proposed an optimization algorithm based on Reinforcement Learning (RL). Firstly, a global optimization model using RL was established. In the model, the control sequence including the control regimes and their switching points was taken as the state. The optimization objectives were taken as the reward function. The adjustment of the position of the switching points in the control sequence was taken as the decision space of the agent. Secondly, an adjustment method of the control sequence based on the deep Q-learning and embedding matrix was proposed. The training data was sampled using the experience replay. The optimal control sequence was obtained through the iterative training of the neural network. Finally, the optimization algorithm based on RL was compared with the driving strategies based on the Pontryagin’s Maximum Principle (PMP) and the field test data. The results show that the energy consumption of the proposed algorithm is reduced by 0.16% in comparison with that of the PMP, which proves that the proposed method can be applied to the multi-objective optimization of the train operation. Comparing with the field test data, the energy consumption of the optimization algorithm is reduced by 4.89%, which demonstrates that the proposed method can be used to guide the drivers to drive the freight train energy-efficiently.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123398521","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}
China's shipping industry is developing rapidly, but there is a shortage of senior crew. Based on the basic data of Chinese sea-going ships, a linear weighted combination forecasting model based on regression forecasting method, quadratic exponential smoothing method, and GM (1,1) gray forecasting method was established, using average absolute deviation and residual standard deviation as indicators to evaluate the fitting accuracy of each single prediction model and combined prediction model. Although the forecast of the demand for Chinese sea-going crews from 2020 to 2029 shows a slight downward trend, some actions must be taken immediately to train more senior crews to alleviate the increasingly prominent imbalance between supply and demand.
{"title":"Prediction of the demand for senior crews of Chinese sea-going vessels based on the combined forecasting method","authors":"Peng Zhang, Zhuo Sun, Yi-Huei Su, L. Lv","doi":"10.1117/12.2652818","DOIUrl":"https://doi.org/10.1117/12.2652818","url":null,"abstract":"China's shipping industry is developing rapidly, but there is a shortage of senior crew. Based on the basic data of Chinese sea-going ships, a linear weighted combination forecasting model based on regression forecasting method, quadratic exponential smoothing method, and GM (1,1) gray forecasting method was established, using average absolute deviation and residual standard deviation as indicators to evaluate the fitting accuracy of each single prediction model and combined prediction model. Although the forecast of the demand for Chinese sea-going crews from 2020 to 2029 shows a slight downward trend, some actions must be taken immediately to train more senior crews to alleviate the increasingly prominent imbalance between supply and demand.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128650313","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}
Emergency logistics is an essential branch of modern logistics services, and the efficiency and safety of its transport have an important impact on maintaining social order after an emergency. When considering the location of emergency logistics distribution center, the lowest transportation cost should not be the main goal, but the shortest distribution distance should be designed and planned to ensure the timeliness and reliability of emergency supplies. This paper proposes a density coefficient optimization algorithm based on the backtracking algorithm. The results show that the algorithm reduces the complex iterative process in the backtracking step and can select the most suitable distribution centre location in a specific region, which has some practical significance for solving the location selection problem.
{"title":"Study on the location of regional emergency logistics centre based on improved backtracking algorithm","authors":"Hao-ge Ma","doi":"10.1117/12.2652324","DOIUrl":"https://doi.org/10.1117/12.2652324","url":null,"abstract":"Emergency logistics is an essential branch of modern logistics services, and the efficiency and safety of its transport have an important impact on maintaining social order after an emergency. When considering the location of emergency logistics distribution center, the lowest transportation cost should not be the main goal, but the shortest distribution distance should be designed and planned to ensure the timeliness and reliability of emergency supplies. This paper proposes a density coefficient optimization algorithm based on the backtracking algorithm. The results show that the algorithm reduces the complex iterative process in the backtracking step and can select the most suitable distribution centre location in a specific region, which has some practical significance for solving the location selection problem.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"12340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128721765","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 order to solve the problems of road congestion and environmental pollution caused by distribution vehicles, the distribution mode under urban rail transit is proposed. In view of the reasonable transformation of the stations of the existing subway lines, the train compartment and platform design are mainly studied so as to make effective use of the two time intervals of the low passenger flow period and the non-passenger-carrying time, that is, to maximize the use of transportation resources, save transportation cost, realize high-speed, high-efficiency and standardization of city logistics.
{"title":"Design of distribution station under the background of urban rail transit","authors":"Xinhong Lv, Xinyi Lu, Huaqiong Liu","doi":"10.1117/12.2652702","DOIUrl":"https://doi.org/10.1117/12.2652702","url":null,"abstract":"In order to solve the problems of road congestion and environmental pollution caused by distribution vehicles, the distribution mode under urban rail transit is proposed. In view of the reasonable transformation of the stations of the existing subway lines, the train compartment and platform design are mainly studied so as to make effective use of the two time intervals of the low passenger flow period and the non-passenger-carrying time, that is, to maximize the use of transportation resources, save transportation cost, realize high-speed, high-efficiency and standardization of city logistics.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125916570","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}
Integrated data and analytics (D&A) systems are recognized for their ability to help companies ensure they have the right people, technology, and processes in place to manage, operate, use, and protect data resources. It is critical for port companies to develop the right strategy to refine the architecture of their D&A systems and integrate their data resources.In this study, system dynamics simulation, and principal component analysis are used to help seaport companies improve D&A systems and maintain their competitiveness in the future. First, starting from the three key parts of personnel, technology, and process, a 3zy comprehensive evaluation model is developed to evaluate the maturity of the D&A system. Second, we use Vensim to conduct simulations and build a seaport system dynamics model. Then, analyze the causal relationship between various influencing factors, and explore the influence of various factors on the port. Third, through the principal component analysis method, clustering multiple indicators to determine the overall skill level of the company and the degree of cooperation between people, technology, and processes has an important impact on the D&A system. Finally, a sensitivity analysis is carried out to calculate the degree of influence on the analysis indicators when the uncertain factors change. The conclusions obtained show the scalability of the D&A system maturity model in other ports and industries.
{"title":"Optimization of seaport companies' D&A systems based on system dynamics and evaluation models","authors":"Yiming Shao, Jiayi Guo, Zejun Li, Wen Yan, Zhiyi Zhu","doi":"10.1117/12.2652356","DOIUrl":"https://doi.org/10.1117/12.2652356","url":null,"abstract":"Integrated data and analytics (D&A) systems are recognized for their ability to help companies ensure they have the right people, technology, and processes in place to manage, operate, use, and protect data resources. It is critical for port companies to develop the right strategy to refine the architecture of their D&A systems and integrate their data resources.In this study, system dynamics simulation, and principal component analysis are used to help seaport companies improve D&A systems and maintain their competitiveness in the future. First, starting from the three key parts of personnel, technology, and process, a 3zy comprehensive evaluation model is developed to evaluate the maturity of the D&A system. Second, we use Vensim to conduct simulations and build a seaport system dynamics model. Then, analyze the causal relationship between various influencing factors, and explore the influence of various factors on the port. Third, through the principal component analysis method, clustering multiple indicators to determine the overall skill level of the company and the degree of cooperation between people, technology, and processes has an important impact on the D&A system. Finally, a sensitivity analysis is carried out to calculate the degree of influence on the analysis indicators when the uncertain factors change. The conclusions obtained show the scalability of the D&A system maturity model in other ports and industries.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126074871","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}
A visualization method of operational status indicators considering the characteristics of the highway itself is proposed. The valid fields are extracted from the historical toll data of the toll management center to obtain the status quo OD matrix, an optimized SUE model is proposed for re-allocation of traffic, and the results of multiple model allocations are compared to arrive at the best allocation scheme with root mean square error as the evaluation index. Combined with the historical toll data from May to December 2021 in Ganan, Jiangxi Province, an example validation is conducted, and the validation results show that the method can efficiently reflect the operation status of the road network as well as the traffic composition characteristics.
{"title":"Extraction and visualization of highway operation status indicators based on toll data","authors":"Feihu Ma, Sanguan Mei, Shiqi Deng","doi":"10.1117/12.2652841","DOIUrl":"https://doi.org/10.1117/12.2652841","url":null,"abstract":"A visualization method of operational status indicators considering the characteristics of the highway itself is proposed. The valid fields are extracted from the historical toll data of the toll management center to obtain the status quo OD matrix, an optimized SUE model is proposed for re-allocation of traffic, and the results of multiple model allocations are compared to arrive at the best allocation scheme with root mean square error as the evaluation index. Combined with the historical toll data from May to December 2021 in Ganan, Jiangxi Province, an example validation is conducted, and the validation results show that the method can efficiently reflect the operation status of the road network as well as the traffic composition characteristics.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124019041","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 face of the shortage of crew labor in the shipping market and the rising shipping companies, it is necessary to analyze the supply and demand situation in my country to ensure that the Chinese crew can develop in the direction of the dynamic balance of supply and demand. The senior crew put forward an effective labor resource allocation plan to improve shipping talents training program. Based on the number of in-service crew members of ships of 3,000 gross tonnages and above in my country's coastal navigation areas and the number of valid certificates held by senior crew members in each position, the actual number of in-service crew members will be used for demand. With the number of crew members holding valid certificates as the supply, a linear weighted combination prediction model based on quadratic exponential smoothing method, regression prediction method, and GM (1,1) grey prediction method is established to predict the number of senior seafarers for 2020-2026. Experimental research shows that from 2020 to 2026, the supply and demand of senior seafarers in my country's coastal areas are on the rise, but the supply is in short supply. In response to the problem of unbalanced development of supply and demand, it is necessary to strengthen school-enterprise cooperation, improve the attractiveness of seafarers, and pay attention to the career development planning of seafarers.
{"title":"Research on supply and demand of senior crew in coastal area based on combination forecast","authors":"Yi-Huei Su, Zhuo Sun, L. Lv","doi":"10.1117/12.2652374","DOIUrl":"https://doi.org/10.1117/12.2652374","url":null,"abstract":"In the face of the shortage of crew labor in the shipping market and the rising shipping companies, it is necessary to analyze the supply and demand situation in my country to ensure that the Chinese crew can develop in the direction of the dynamic balance of supply and demand. The senior crew put forward an effective labor resource allocation plan to improve shipping talents training program. Based on the number of in-service crew members of ships of 3,000 gross tonnages and above in my country's coastal navigation areas and the number of valid certificates held by senior crew members in each position, the actual number of in-service crew members will be used for demand. With the number of crew members holding valid certificates as the supply, a linear weighted combination prediction model based on quadratic exponential smoothing method, regression prediction method, and GM (1,1) grey prediction method is established to predict the number of senior seafarers for 2020-2026. Experimental research shows that from 2020 to 2026, the supply and demand of senior seafarers in my country's coastal areas are on the rise, but the supply is in short supply. In response to the problem of unbalanced development of supply and demand, it is necessary to strengthen school-enterprise cooperation, improve the attractiveness of seafarers, and pay attention to the career development planning of seafarers.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133427366","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}
With the development of green transportation, many effective measures have been proposed in the waterway transport system. In order to save navigation costs and reduce carbon emissions under the emission control area (ECA) policy, this paper first establishes a mixed integer linear programming model to optimize the speed of the liner ship inside and outside the ECA; then a liner route is taken as an example to verify the model; finally, the speed optimization effect of the model under different fuel prices and carbon emission tax rates is analyzed through experiments. The results show that the proposed model can save voyage costs under the ECA policy and different carbon emission tax levels.
{"title":"Liner ship speed optimization based on the influence of emission control area in waterway transport system","authors":"Jin Gao, Shuo Wang, Tao Liu, Z. Lei, Wei Meng","doi":"10.1117/12.2652536","DOIUrl":"https://doi.org/10.1117/12.2652536","url":null,"abstract":"With the development of green transportation, many effective measures have been proposed in the waterway transport system. In order to save navigation costs and reduce carbon emissions under the emission control area (ECA) policy, this paper first establishes a mixed integer linear programming model to optimize the speed of the liner ship inside and outside the ECA; then a liner route is taken as an example to verify the model; finally, the speed optimization effect of the model under different fuel prices and carbon emission tax rates is analyzed through experiments. The results show that the proposed model can save voyage costs under the ECA policy and different carbon emission tax levels.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134274928","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}
China's railway development coincides with the comprehensive deepening reform. In order to promote the smooth completion of construction projects by adopting the best financing scheme, aiming at the technical problems that the financing scheme of railway construction projects is difficult to determine, on the basis of constructing the evaluation index system of project financing scheme, and based on the improved analytic hierarchy process and fuzzy comprehensive evaluation method, the evaluation index weights are determined from the angles of financing structure, financing cost, financing risk, profitability and viability. Then, the comprehensive evaluation of the financing scheme of railway construction project is carried out, and the effectiveness of the proposed method is verified by taking the Shanghai-Jiaxing-Ningbo railway project as an example. Combined with the evaluation results, relevant suggestions that are beneficial to the smooth implementation of the project are put forward. The results show that the proposed method can effectively evaluate the financing scheme of railway construction projects, and the corresponding research results can provide reference for the investment and financing of railway construction projects.
{"title":"Evaluation of financing scheme of railway construction project based on improved fuzzy AHP","authors":"Chang-Jie Chen","doi":"10.1117/12.2652559","DOIUrl":"https://doi.org/10.1117/12.2652559","url":null,"abstract":"China's railway development coincides with the comprehensive deepening reform. In order to promote the smooth completion of construction projects by adopting the best financing scheme, aiming at the technical problems that the financing scheme of railway construction projects is difficult to determine, on the basis of constructing the evaluation index system of project financing scheme, and based on the improved analytic hierarchy process and fuzzy comprehensive evaluation method, the evaluation index weights are determined from the angles of financing structure, financing cost, financing risk, profitability and viability. Then, the comprehensive evaluation of the financing scheme of railway construction project is carried out, and the effectiveness of the proposed method is verified by taking the Shanghai-Jiaxing-Ningbo railway project as an example. Combined with the evaluation results, relevant suggestions that are beneficial to the smooth implementation of the project are put forward. The results show that the proposed method can effectively evaluate the financing scheme of railway construction projects, and the corresponding research results can provide reference for the investment and financing of railway construction projects.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129825775","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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