2021 6th International Conference on Transportation Information and Safety (ICTIS)最新文献_第6页

Decrease of Taxi Ridership due to the Impact of COVID-19: A Case Study of New York City 新冠肺炎影响下出租车客流量下降:以纽约市为例

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ICTIS54573.2021.9798597

Juan Li, Yicheng Song, Xinan Zhou, Jinjin Yue, Hongtai Yang

{"title":"Decrease of Taxi Ridership due to the Impact of COVID-19: A Case Study of New York City","authors":"Juan Li, Yicheng Song, Xinan Zhou, Jinjin Yue, Hongtai Yang","doi":"10.1109/ICTIS54573.2021.9798597","DOIUrl":"https://doi.org/10.1109/ICTIS54573.2021.9798597","url":null,"abstract":"The outbreak of COVID-19 has greatly impacted all industries of many countries in the world. As an important part of people's daily life, transportation is one of the most severely impacted industries. Taking New York City as an example, this paper explores the decline of taxi ridership due to the COVID-19. The decreased ratio of the actual taxi ridership to the taxi ridership predicted for the no COVID-19 scenario based on historical data is calculated as the dependent variable. The fractional response model is used to study the effect of built environment factors including demographic and socioeconomic, land use, and road-related on the decline of ridership. One model is constructed for each of the four periods, to explore the influence of influencing factors on the dependent variables in different periods. The model results show that the percentage of taxi trips decline is associated with the proportion of high-income people living in the area. The reason could be that these people have more flexible working hours and working places. They can choose to telecommute or travel by private cars to avoid contacting other people during transportation. The analysis of the other factors shows that industrial jobs are related to the low percentage of decline. The model results reveal to us the problem of equity exposed in New York City during the pandemic: limited by jobs(race/income), a portion of citizens are not fully free to choose their travel mode during the pandemic. According to the findings, this paper gives traffic management some policy suggestions. As a result, this study could provide an important reference for policymakers to develop appropriate measures to control the epidemic.","PeriodicalId":253824,"journal":{"name":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132736706","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}

引用次数: 1

Study on optimal location of Pilot Boarding waters in Guangzhou Port 广州港引航员登船水域最佳选址研究

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ICTIS54573.2021.9798648

Qunzhai Wang, Z. Sha, Tong Liu

引用次数: 0

Research on Intelligent Vehicle Infrastructure Cooperative System Based on 5G Mobile Edge Computing 基于5G移动边缘计算的智能汽车基础设施协同系统研究

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ICTIS54573.2021.9798458

Xiaowei Chen, Qingyu Zhang, Z. Jin, Sulin Zhang, Jinliang Li, Jia Zhang

{"title":"Research on Intelligent Vehicle Infrastructure Cooperative System Based on 5G Mobile Edge Computing","authors":"Xiaowei Chen, Qingyu Zhang, Z. Jin, Sulin Zhang, Jinliang Li, Jia Zhang","doi":"10.1109/ICTIS54573.2021.9798458","DOIUrl":"https://doi.org/10.1109/ICTIS54573.2021.9798458","url":null,"abstract":"Intelligent vehicle-infrastructure cooperative system plays an increasingly greater role in the intelligent traffic system, this paper designs an intelligent vehicle-infrastructure cooperative system based on 5G mobile edge computing in order to improve the network latency of data transmission and asymmetric cryptographic algorithm was used to ensure the security of data. The system consists of four function modules: road side unit, on board unit, mobile edge computing equipment, central cloud platform, to realize the fusion processing of vehicle-road-edge-central cloud four-level data. The adaptive cruise model based on safe time distance of self-driving vehicle was used to verify the feasibility and effectiveness of the system. Compared with the 4G vehicle-infrastructure cooperative system, the data transmission delay is reduced by 60% to 80%. Thus the short delay, high reliability and high speed vehicle-infrastructure cooperative system are realized, and provides a useful reference for the design and development of an efficient, safe and environmentally friendly intelligent traffic system.","PeriodicalId":253824,"journal":{"name":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133425888","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}

引用次数: 1

Robust Object Profile Extraction Based on Multi-beam Sonar 基于多波束声纳的鲁棒目标轮廓提取

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ICTIS54573.2021.9798513

Cheng De-shan, Liu Heng-rui, Li Ting-wen, Wang Yang, Wu Zhong-ping, Zhao Jiang-bin

{"title":"Robust Object Profile Extraction Based on Multi-beam Sonar","authors":"Cheng De-shan, Liu Heng-rui, Li Ting-wen, Wang Yang, Wu Zhong-ping, Zhao Jiang-bin","doi":"10.1109/ICTIS54573.2021.9798513","DOIUrl":"https://doi.org/10.1109/ICTIS54573.2021.9798513","url":null,"abstract":"Multi-beam sonar is one of the most important visual perception tools for underwater medium and longdistance object detection. The sonar image obtained by it is an important data source for Three-dimensional reconstruction of underwater scenes. In order to solve the problems of background noise and clutter in underwater target detection based on multi-beam sonar, a robust object profile extraction method for multi-beam image sonar is proposed in this paper. Firstly, threshold processing and non-maximum suppression are carried out for the points on each column of the image according to the pixel gray value to obtain the candidate points of the object profile. Secondly, according to the imaging principle of multi-beam sonar, the likelihood probability model of candidate points and the jump penalty model between adjacent columns of image are established to remove the influence of noise on profile extraction. According to the characteristics of the established objective function, the dynamic programming method is used to solve the problem. The experimental results of measured and simulated data show that this algorithm is simple and easy to operate, and can accurately and effectively extract the single profile of multi-beam image sonar, which has a high application value.","PeriodicalId":253824,"journal":{"name":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115575897","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}

引用次数: 1

Static Stability Analysis of Ship Power System with S-CO2 Brayton Cycle Power Generation System Integrated 集成S-CO2布雷顿循环发电系统的船舶动力系统静稳定性分析

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ICTIS54573.2021.9798629

Jian Wu, Yuwei Sun, Y. Liu, C. Yuan, Xujing Tang

{"title":"Static Stability Analysis of Ship Power System with S-CO2 Brayton Cycle Power Generation System Integrated","authors":"Jian Wu, Yuwei Sun, Y. Liu, C. Yuan, Xujing Tang","doi":"10.1109/ICTIS54573.2021.9798629","DOIUrl":"https://doi.org/10.1109/ICTIS54573.2021.9798629","url":null,"abstract":"The supercritical carbon dioxide (S-CO2) Brayton cycle power generation system is a promising configuration to realize waste heat recovery for exhaust gas coming from marine diesel engines. However, the three-phase 1-kHz alternating current (AC) generated by permanent magnet synchronous generator (PMSG) in S-CO2 power generation system (SPGS) cannot be directly fed into the ship power system (SPS) whose rate frequency is usually set at 50 or 60 Hz. To feed the three-phase AC into the power grid of the ship, power electronic converters are required. In this scenario, the integration of SPGS into the SPS will have a significant impact on the static stability of the system. In this paper, a simulation model of the SPS integrated with SPGS is established based on ETAP software. The Newton-Raphson method is used to analyze the static stability of the system, focusing on system power flow analysis and short-circuit current calculation. To further investigate the influence of SPGS penetration on the static stability of the SPS, the power loss and voltage distortion degree are considered when SPGS is connected to the system with different grid-connected nodes and grid-connected power.","PeriodicalId":253824,"journal":{"name":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114818355","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}

引用次数: 0

An AIS Data-Based Framework for Ship Allision Risk Assessment Near the Offshore Wind Farm 基于AIS数据的海上风电场船舶碰撞风险评估框架

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ICTIS54573.2021.9798624

Q. Yu, Kezhong Liu

{"title":"An AIS Data-Based Framework for Ship Allision Risk Assessment Near the Offshore Wind Farm","authors":"Q. Yu, Kezhong Liu","doi":"10.1109/ICTIS54573.2021.9798624","DOIUrl":"https://doi.org/10.1109/ICTIS54573.2021.9798624","url":null,"abstract":"In order to investigate the allision risk of vessels near the Offshore Wind Farm (OWF) under the complicate surrounding environment, an AIS data-based allision risk framework is presented in this paper. The Bayesian learning approach is employed in this framework to learning the AIS database. The BN model of ship navigation behaviour near the OWF is then obtained. Meanwhile, the risk model that based on the output data from the BN under different combinations of navigation conditions is then used to assess the allision risk for new scenarios. A case study of an OWF is used to illustrate the application of the proposed model and the reliability of the new approach is tested. As a result, the proposed framework presents the evidence that impacts of OWF to vessels are diverse, which depend on ship categories, size and seasons. Fishing ships and OWF maintenance ships have smaller passing distance and that for oil and gas vessel is larger. Furthermore, ten cases have been ranked by using the proposed risk model. The developed risk allision framework from the empirical database provides a sufficient approach to evaluate the ship risk near the OWF, and further support the OWF safety management and ship navigating.","PeriodicalId":253824,"journal":{"name":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","volume":"602 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117077480","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}

引用次数: 1

Solving the Maximum Exploitable Potential of Channel Bearing Capacity by Improved GA-BP Algorithm 用改进GA-BP算法求解航道承载力的最大可开发潜力

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ICTIS54573.2021.9798589

H. Hou, Yanyi Chen, Jin-fen Zhang, Wan Wang

{"title":"Solving the Maximum Exploitable Potential of Channel Bearing Capacity by Improved GA-BP Algorithm","authors":"H. Hou, Yanyi Chen, Jin-fen Zhang, Wan Wang","doi":"10.1109/ICTIS54573.2021.9798589","DOIUrl":"https://doi.org/10.1109/ICTIS54573.2021.9798589","url":null,"abstract":"The existing researches mainly focus on the stable navigation depth estimation or scheme comparison, lacking of methods for predicting the capacity of waterways, methods. The prediction has problems such as the inability to consider various uncertain factors that affect the capacity of the channel, excessive subjective factors and the cumbersome prediction process. An improved GA-BP algorithm is proposed to predict the maximum exploitable potential of the channel capacity. On the basis of the traditional GA-BP algorithm, two edge successive correction algorithms are introduced to initially optimize the predictive network model weights and thresholds. Introducing improved cross mutation operator to improve population diversity and effectively expand the range of solution search. Finally, the test samples verify the rationality of the optimized network model. Compare with GA-BP algorithm and BP neural network, the results reflect that the proposed GA-BP algorithm can comprehensively reflect various uncertainties of the channel capacity and reduce the influence of subjective factors on the prediction results. The algorithm can effectively predict the maximum development potential of the channel capacity, and is more effective than traditional prediction algorithms.","PeriodicalId":253824,"journal":{"name":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116072935","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}

引用次数: 0

Cylinder pressure control technology of natural gas-diesel dual-fuel engine based on pressure self-adaptive piston 基于压力自适应活塞的天然气-柴油双燃料发动机气缸压力控制技术

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ICTIS54573.2021.9798563

Yuhai He, Dongkai Wang, Qinpeng Wang

引用次数: 0

Crossing behavior decision-making for inland ferry ships based on Machine Learning 基于机器学习的内河轮渡行为决策

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ICTIS54573.2021.9798496

X. Yuan, Di Zhang, Jin-fen Zhang, Mingyou Cai, Mingyang Zhang

{"title":"Crossing behavior decision-making for inland ferry ships based on Machine Learning","authors":"X. Yuan, Di Zhang, Jin-fen Zhang, Mingyou Cai, Mingyang Zhang","doi":"10.1109/ICTIS54573.2021.9798496","DOIUrl":"https://doi.org/10.1109/ICTIS54573.2021.9798496","url":null,"abstract":"The crossing behavior decision-making when encountering target ships for ferry ships is one of the key issues in enhancing traffic safety and efficiency for ferries. It is the foundation of route planning and would contribute to encountering risk assessment. The traditional collision avoidance decision-making approaches cannot be directly applied to inland ferry ships due to the characteristics in terms of high safety requirement, lower priority in collision avoidance and so on. Considering navigating characteristics and collision avoidance rules for ferries, the ferry's crossing actions can be simplified to be a binary problem that is crossing from ahead or behind target ships. So Ferries Crossing Actions Determination (FCAD) approach is proposed to quantify the relative likelihood of crossing actions. By training algorithms on ferries encountering with target ships, crossing actions can be identified. Amongst the various methods been tested, Xgboost shows good performance with Recall of 99% and Accuracy of 94%. The proposed approach contributes to improvements on ferries actions decision-making and intelligent route planning control.","PeriodicalId":253824,"journal":{"name":"2021 6th International Conference on Transportation Information and Safety (ICTIS)","volume":"355 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124484688","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}

引用次数: 1

The “Port Shuttle Hub System” Model based on Rail-Sea Intermodal Transportation Taking Shenzhen Port as an Example 基于海铁联运的“港口穿梭枢纽系统”模型——以深圳港为例

2021 6th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2021-10-22 DOI: 10.1109/ictis54573.2021.9798666

Hai-fei Yao, Dachuan Wang, Wentao Ding, Lianjie Jin

引用次数: 0