2015 International Conference on Transportation Information and Safety (ICTIS)最新文献

{"title":"Tendency analysis on morphologic changes of reservoir downstream river section","authors":"Ming-jin Zhang, Yanhua Yang, Yanhua Li","doi":"10.1109/ICTIS.2015.7232050","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232050","url":null,"abstract":"Because the development of reservoir downstream bed erosion is periodical and the resistance of the river bed changes over time during the erosion process, morphologic changes of the reservoir downstream river section is not always one-way. This paper provides a comprehensive analysis on the characteristics of morphologic changes below many domestic and foreign storage reservoirs and establishes a correspondence between the shape of cross section and the change of the resistance, which will deepen the understanding of deformation phenomenon on the river bed of reservoir downstream.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121195013","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}

{"title":"Ship traffic volume forecast in bridge area based on enhanced hybrid radial basis function neural networks","authors":"Liang Yang, Yong Hao, Qing Liu, Xiangyu Zhu","doi":"10.1109/ICTIS.2015.7232077","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232077","url":null,"abstract":"Forecasting the vessel traffic flow in the bridge areas is focused on this study. Based on Hybrid Radial Basis Function Neural Network, another novel predictive statistic modeling technique called Enhanced Hybrid Radial Basis Function Neural Network (EHRBF-NN) is proposed in the paper. EHRBF-NN is a flexible forecasting technique that integrates regression trees, particle swarm optimization, with radial basis function neural networks. In this technique, the regression tree is used to determine the centers and radius of the radial basis functions. The Particle Swarm Optimization (PSO) is used to avoid the over fitting and determine the weights of the neural network. Computer simulations have been implemented to validate the EHRBF-NN. Compared forecasting results with actual data, the algorithm of HRBF-NN is more effective than ordinary RBF-NN, RBF-NN with least square method and HRBF-NN, while it uses less computing resources and shorter computing time.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121395323","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}

{"title":"Inland hazardous cargo ship safety evaluation offsetting factors analysis","authors":"Luo Yingli, Lv Zhiyong, Yi Junwei","doi":"10.1109/ICTIS.2015.7232053","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232053","url":null,"abstract":"Based on the safety evaluation model, risk offsetting factors of the dangerous cargo ship are analyzed. Correlation algorithm of the control factors of the maximum accident rate offset and algorithm of comprehensive offsetting factors are given. Combined with statistical analysis of inland ship accidents, the differences between the value of the inherent risk evaluation and the real risk evaluation have been compared. According to data analysis, the curves between each offsetting factors and safety evaluation values are obtained. The ship risk evaluation is determined accurately. The negative feedback mechanism of the ship safety management to the risk has been obtained.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"33 20","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113196","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}

{"title":"Mechanism on lateral widening of alluvial river channel","authors":"Yanhua Yang, Ming-jin Zhang","doi":"10.1109/ICTIS.2015.7232049","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232049","url":null,"abstract":"According to the lateral widening of alluvial river channel, this paper analyzes two kinds of mechanical principles, which cause river channel widening. That is: the widening caused by the direct water erosion and the widening caused by the collapse of river bank. In addition, this paper also summarizes the common methods of lateral widening of simulating river channel (empirical method and hydrodynamics - soil mechanics method), and analyzes the advantages and disadvantages as well as its application ranges of both methods. At last, research expectations have been put forward.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121573256","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}

{"title":"Study on the influencing factors and passenger volume analysis of lasting large scale activities","authors":"Zhang Zheng, Wen Jiancheng, Wang Lixun, Sui Liying","doi":"10.1109/ICTIS.2015.7232207","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232207","url":null,"abstract":"Passenger volume of lasting large scale activities have the features of gathering, dispersing and large scale within a short time and a small range. Lasting large scale activities are defined as the large activities or events held for days, they have long duration, wide range of influence, and obvious passenger volume fluctuation, the passenger volume scale and time-space distribution is affected by weather, environment, holiday trip mode and other factors. It is important to reveal influencing factors and the influencing mechanism for the transportation operation and organize for lasting large scale activities. This study based on the passenger volume of the 9th China International Garden Expo, collected vehicle load coefficient through field car-following investigation. After observing the passenger volume by automated method, the study gained passenger volume data in a period of four months. Based on the collected data, the paper analyzes the characteristics of trip mode and passenger arrival and departure, as well as the influencing factors of passenger volume scale. This analysis shows that visit cost, weather and holidays are the main factors which are influencing the passenger volume scale. People tend to take care about their cost during visit and prefer to travel in good weather or holiday. Compared with the working day, weekend and holiday passenger volume highest average growth is over 200%, passenger volume growth is 30% on average. However, on rainy days, high temperature and other abnormal weather conditions, the passenger volume will decrease 20%-50%. The self-promotion activities held has not been obvious influenced on the passenger flow. The analysis of the influencing factors and time-space distribution characteristics of passenger volume of lasting large scale activities, will contribute to the study of traffic impact model of special activities, and provide effective data to support to make valid traffic organization and management measures during lasting large scale activities.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134575404","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}

{"title":"Effect of within-sample choice distribution and sample size on the estimation accuracy of logit model","authors":"Minhui Zeng, M. Zhong, J. Hunt","doi":"10.1109/ICTIS.2015.7232160","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232160","url":null,"abstract":"Within-Sample Choice Distribution and Sample size are important considerations in the estimation of logit model, but their effects on the estimation accuracy have not been systematically studied. Therefore, the objective of this paper is to provide an empirical examination to the above issues through a set of simulated choice datasets. In this paper, the utility function coefficients and alternative specific constants (ASCs) are specified as a prior. Then, assuming alternative attributes and error components follow a normal distribution, both revealed preference (RP) and stated preference (SP) synthetic choice datasets are simulated. Based on these simulated datasets, the utility coefficients and ASCs are re-estimated and compared with the original values specified as the prior. It is found that the utility coefficients can be re-estimated with reasonable accuracy, but the estimates of the ASCs are confronted with much larger errors. The Sum of Square Errors (SSEs) between the “original” and the estimated utility coefficients and ASCs using RP and SP datasets of varying sample size are calculated, plotted and the corresponding diminishing marginal return points are identified. Regarding within-sample choice distribution, study results show that, as the within-sample choice distribution becomes more balanced, the hit-ratio decreases. It appears that, when alternatives are chosen with similar frequency, choosing one alternative vs. another does not make much difference in terms of utility perceived by each decision-maker. Therefore, it is suggested that a population with varying socioeconomic characteristics be created and used in future studies.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"12 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131505488","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}

{"title":"Vessel traffic flow prediction model based on complex network","authors":"Wen Hang, Mengyuan Xu, Xingyuan Chen, Shaolong Zhou","doi":"10.1109/ICTIS.2015.7232104","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232104","url":null,"abstract":"A complex network structure can describe many real systems, ports system meet characteristics of complex network system. This paper built a new weighted port evolutional network model using vessel traffic flow as the relevance rating affecting port evolution, on the basis of this. It proposed a port vessel traffic flow forecasting model based on complex networks and used vessel traffic volume of Tianjin Port during 2002-2013 years as the experimental data and ultimately verified and predicted it through the use of forecasting model parameters obtained by fitting port network kinetic equations and numerical, as a result, the error between the experimental results calculated by model and actual data is 4.95%, and the average prediction error during 2009-2013 is less than 2%, the fitting of parameters in this model needed to be supported by historical data, so this model is only applicable in short-term prediction with high accuracy.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133248650","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}

{"title":"Algorithm for variable message sign location on urban traffic network considering road attributions","authors":"Zhan Lin, B. Si","doi":"10.1109/ICTIS.2015.7232105","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232105","url":null,"abstract":"Variable message sign (VMS) is an important tool for traffic guidance. However, the effectiveness of VMS largely depends on the number and location of installation in road network. In practice, VMS location is always based on the managers' experiences and subjective judgments, without sufficient theoretical support. This paper presents an algorithm for VMS location through road traffic network in which the idea of backtracking is used. The location order can be obtained by scanning the four multi-level traffic-guidance attributions on each road. These four attributions include road grade, traffic flow, and information intensity and information attenuation. In the proposed algorithm, the remaining roads will be scanned by using lower-level attribution or rescanned by using the same upper-level attribution after one attribution has been checked for one road. In this algorithm, not only the static factors related to traffic information are taken into account, but also the dynamic one like information attenuation is considered. Finally, a practical example of the algorithm is analyzed and verified.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127388750","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}

{"title":"Major issues associated with maritime security and piracy study","authors":"S. Pristrom, Zaili Yang, Jin Wang, Di Zhang, Xin-ping Yan","doi":"10.1109/ICTIS.2015.7232057","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232057","url":null,"abstract":"This study analyses previous piracy related incidents in terms of the major contributing factors. Discussions are given on the guidelines developed by the International Maritime Organization (IMO) to minimize the risk to ships exposed to attacks from pirates. The initiatives taken to suppress piracy, armed robbery and other maritime crimes are highlighted. The UK's National Strategy for Maritime Security is described in terms of its objectives and methodology. Further recommendations on how maritime security and piracy may be best addressed have been developed and outlined in the conclusions.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127422432","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}

{"title":"Inland waterway image haze-removal based on the dark-channel prior","authors":"W. Liu, Xianqiao Chen, X. Chu","doi":"10.1109/ICTIS.2015.7232091","DOIUrl":"https://doi.org/10.1109/ICTIS.2015.7232091","url":null,"abstract":"Dark-channel prior is a perfect theory to restore the outdoor haze image, but the color distortion is emerged when processing the bright region such as sky. Especially for inland river haze image, there is a large area of sky in image. To solve this problem, an improved dehazing algorithm is proposed in this paper. It first segments the haze image into sky and non-sky region through image segmentation algorithm, and then the dark-channel prior is used to deal with two regions to obtain the adaptive estimation of the transmission rate respectively. Finally, two transmission rates are combined to restore the inland river haze image. Experimental results show that the proposed algorithm provides significant advantage in producing more natural sky region, while achieving the image restoration of the non-sky region in inland river haze image.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129840109","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}