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  • 2010-2014  (5)
  • Mobility and traffic research  (5)
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  • 2010-2014  (5)
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  • Mobility and traffic research  (5)
  • 1
    Online Resource
    Online Resource
    Modeling of Passing Events in Mixed Bicycle Traffic with Cellular Automata
    SAGE Publications ; 2013
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2387, No. 1 ( 2013-01), p. 26-34
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2387, No. 1 ( 2013-01), p. 26-34
    Abstract: The primary objective of this study was to use the cellular automata (CA) method to model the characteristics of bicycle passing events in mixed bicycle traffic on separated bicycle paths. The mixed traffic was composed of two types of bicycles: the conventional bicycle (c-bicycle) and the electric bicycle (e-bicycle). The number of passing events and the characteristics of mixed bicycle traffic were investigated in the field on eight physically separated bicycle paths in China. Then a CA model was calibrated with the use of the field data to simulate the passing events in the mixed bicycle traffic. The results showed that the CA model could simulate the features of bicycle passing events well. The simulation results were consistent with field observations. An increase in the ratio of e-bicycles would not significantly increase the number of passing events, but e-bicycles did contribute substantially to passing events in mixed bicycle traffic. E-bicycles were shown to have more stability than c-bicycles, especially in traffic with a high flow rate. The findings of this study could improve the performance of simulation techniques to reflect the actual characteristics of mixed bicycle traffic.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2387-04
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Application of Fuzzy Logic to Safety Risk Assessment of China's Maritime Passages
    SAGE Publications ; 2012
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2273, No. 1 ( 2012-01), p. 112-120
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2273, No. 1 ( 2012-01), p. 112-120
    Abstract: The maritime system has a high level of uncertainty, which makes it difficult to assess its safety. This paper proposes an improved formal safety assessment (FSA) method based on fuzzy logic and employing if–then rules, which model the qualitative aspects of human knowledge and reasoning processes. A fuzzy expert system is then designed to address FSA's risk assessment step. An investigation is performed to gain expert knowledge, which is essential to building this system. An example that assesses the safety of Chinese maritime passages is used to illustrate the methodology. The method is effective in the solution of problems with high uncertainty. Finally, suggestions are given to enhance the level of safety.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2273-14
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Data Fusion of Maritime Incident Databases with Dempster–Shafer Theory
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2426, No. 1 ( 2014-01), p. 27-32
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2426, No. 1 ( 2014-01), p. 27-32
    Abstract: Although a huge amount of information is available in all kinds of marine safety databases, only a small part can be used directly. The disorganized information from different sources leads to a mixture of format and definition. In the work reported in this paper, the Dempster–Shafer theory (DST) of evidence was applied to combine evidence (i.e., a piece of information that supports a claim) from different sources. The method is regarded as a generalization of the Bayesian theory and can avoid two difficulties in classical probability theory: handling the conflicting information and assigning prior probabilities. The work of data fusion was demonstrated first by a decision fusion problem that involved the reconciliation of contradictory expert reports. The DST can provide a decision maker with a comprehensive result through the combination of different experts’ opinions. Second, fusion was conducted of two representative maritime incident databases: that of the Global Integrated Shipping Information System and that of the International Chamber of Commerce. Although the records in the databases had some defects (e.g., disorder, error, contradiction), the DST was able to work effectively and calculate an uncertainty interval of incident.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2426-04
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Dynamic Fuzzy Logic Model for Risk Assessment of Marine Crude Oil Transportation
    SAGE Publications ; 2012
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2273, No. 1 ( 2012-01), p. 121-127
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2273, No. 1 ( 2012-01), p. 121-127
    Abstract: As a scarce strategic resource, crude oil is closely intertwined with national strategies, global policies, international relationships, and national competence. Unbalanced demand and production of crude oil lead to huge amounts of import and export activities. Marine transportation accounts for about 80% of the total oil transport because of the low cost. However, it also incurs an extremely high risk in doing so. Therefore, it is significantly important to assess and control risk effectively in crude oil transportation. In risk assessment, uncertainty evaluation becomes a key variable that cannot be neglected. Previous cases show that fuzzy logic can be applied to manage uncertainty. However, the use of fuzzy logic usually encounters two difficulties: determination of the membership functions and establishment of the reference machine. This paper presents a dynamic fuzzy logic model (DFLM) that can improve the stated problems. The DFLM is developed from fuzzy theory and an incident causation model. The model is examined with a hypothetical case. Preliminary results show that the model reduces the time of risk assessment and increases the reliability of evaluation.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2273-15
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 5
    Online Resource
    Online Resource
    Spatial Analysis of Maritime Accidents Using the Geographic Information System
    SAGE Publications ; 2013
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2326, No. 1 ( 2013-01), p. 39-44
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2326, No. 1 ( 2013-01), p. 39-44
    Abstract: Despite the tremendous efforts of maritime organizations to achieve a safe and secure maritime transportation system, the losses through maritime accidents and incidents are still increasing. This paper analyzes the spatial distribution of maritime accidents occurring from January 1, 2002, to December 31, 2011, based on the Marine Casualties and Incidents module of the Global Integrated Shipping Information System. The geographic information system, an effective and efficient tool for spatial analysis with high visualization, is used to carry out the analysis. Hot-spot analysis of maritime accidents identifies the hot spots. Buffer analysis is used to calculate accidents that occurred in coastal areas. Finally, the following two important results are obtained from the analysis. First, the identification of hot spots reveals the area around the United Kingdom as the area with the greatest number of accidents and the coastal areas around East Asian countries (such as China, Japan, and South Korea) and the Mediterranean Sea as the areas with the next highest number of accidents. These results compare well with a previously published paper. Second, maritime accidents may not frequently occur in the open sea; however, accidents frequently happen in coastal areas, with 51.1% of the total accidents happening within 25 mi of the continents and 62.2% within 50 mi.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2326-06
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
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    Online Resource
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