Physical Sciences and Mathematics Commons^™

Integrating Dynamic Route Planning : Feasibility Of Integrating Dynamic Route Planning In Maritime Spatial Planning, Riccardo Bozzo, Lilitha Pongolini, Fabio Ballini, Xavier Martínez De Osés, Sergio Velásquez Correa

MONALISA 2.0

MONALISA 2.0 report on the feasibility of integrating dynamic route planning in Maritime Spatial Planning (MSP.

Economic Impact To Shipping Industry : Economic Impact To Shipping Industry Considering Maritime Spatial Planning And Green Routes In Pilot Case Studies, Pantelis G. Anaxagorou, A Pappas, I Giraud, D Stratigis, E Papadopoulos, Lilitha Pongolini, Fabio Ballini, Piotr Treichel, Xavier Martínez De Osés, Sergio Velásquez Correa, M ·La Castells, I Ortigosa

MONALISA 2.0

In this project, three case studies are considered in order to examine the economic impact of the implementation of MSP when considering environmental impact of the shipping industry. Specific characteristics and limitations of areas in the Greek Sea, the Balearic Sea and the Baltic Sea are evaluated with respect to their economic effects on the maritime transport domain.

The purpose of the above is to evaluate the economic impacts and risk implications of different scenarios and particularly:

• The economic impact of vessel traffic rerouting and/or reducing the speed in order to reduce the probability of vessel strikes or other negative …

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Where Are The Passengers? A Grid-Based Gaussian Mixture Model For Taxi Bookings, Meng-Fen Chiang, Tuan Anh Hoang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Taxi bookings are events where requests for taxis are made by passengers either over voice calls or mobile apps. As the demand for taxis changes with space and time, it is important to model both the space and temporal dimensions in dynamic booking data. Several applications can benefit from a good taxi booking model. These include the prediction of number of bookings at certain location and time of the day, and the detection of anomalous booking events. In this paper, we propose a Grid-based Gaussian Mixture Model (GGMM) with spatio-temporal dimensions that groups booking data into a number of spatio-temporal …

Designing Bus Transit Services For Routine Crowd Situations At Large Event Venues, Jianli Du, Shih-Fen Cheng, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

We are concerned with the routine crowd management problem after a major event at a known venue. Without properly design complementary transport services, such sudden crowd build-ups will overwhelm the existing infrastructure. In this paper, we introduce a novel flow-rate based model to model the dynamic movement of passengers over the transportation flow network. Based on this basic model, an integer linear programming model is proposed to solve the bus transit problem permanently. We validate our model against a real scenario in Singapore, where a newly constructed mega-stadium hosts various large events regularly. The results show that the proposed approach …

Forecasting The Big Picture: Arctic Ecosystems, Climate Change, Shipping & Fisheries, Mary S. Wisz

ShipArc 2015 Conference

No abstract provided.

Beyond The Polar Code: Imo Measures For Assuring Safe & Environmentally Sound Arctic Navigation, J. Ashley Roach

ShipArc 2015 Conference

No abstract provided.

Ship Generated Waste In The Arctic : Marine Debris, Marpol & The Polar Code, David Condino

ShipArc 2015 Conference

No abstract provided.

Arctic Maritime Activities In Changing Climatic & Market Conditions: Impacts On Local Community Security & Adaptation, Julia Olsen, Grete K. Hovelsrud

ShipArc 2015 Conference

No abstract provided.

From Sensors To Sense Making: Leveraging Open-Access Scientific Data To Assess Arctic Maritime Risks, Mark A. Stoddard, Melanie Fournier Ph.D, Laurent Etienne Ph.D, Leah Beveridge Ph.D

ShipArc 2015 Conference

No abstract provided.

The Role Of Sustainability In Strategic Thinking In Norwegian Shipbuilding Industry, Faheem Ali, Annik Magerholm Fet, Dina Aspen

ShipArc 2015 Conference

No abstract provided.

Use Of Satellite Sar Observations Integrated In Arctic Maritime Situational Awareness, Hans Eilif Larsen

ShipArc 2015 Conference

No abstract provided.

Knowledge Discovery Of Human Activities At Sea In The Arctic Using Remote Sensing And Vessel Tracking Systems, Michele Vespe, Harm Greidanus, Carlos Santamaria, Thomas Barbas

ShipArc 2015 Conference

No abstract provided.

Drivers Of Arctic Shipping & Marine Operation, Lawson W. Brigham Ph.D

ShipArc 2015 Conference

No abstract provided.

Study On Collision Between Fishing Vessels And Merchant Ships Within The China Coastal Waters, Zaicai Yi

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

Analysis Of Applicable Methods For The Safety Navigation Of Ship Within Tropical Cyclone Environment In South China Sea, Sanwei Zhai

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

The Impact Of Panama Canal Expansion On The U.S. Gateway Ports’ Attractiveness To The Discretionary Cargo Shippers, Jie Xu

World Maritime University Dissertations

No abstract provided.

The Optimization Research Of Southeast Asian Container Liner Routes Of Sitc Company, Sheng Sheng

World Maritime University Dissertations

No abstract provided.

The Analysis Of Bdti In Tanker Transport Market, Zhisen Wang

World Maritime University Dissertations

No abstract provided.

Research On Shanghai Port Logistics Collection And Distribution Network Optimization, Chaoyang Gong

World Maritime University Dissertations

No abstract provided.

Arctic Northern Sea Route Prospects, Obstacles & Chinese Stance, Amit Sanwal

World Maritime University Dissertations

No abstract provided.

Research On Port Network Layout From The Perspective Of Sea Ports And Dry Ports Linked Development Under The Background Of “Obor”, Yameng Guo

World Maritime University Dissertations

No abstract provided.

Research On Liner Shipping Schedule Recovery, Xiaye Tang

World Maritime University Dissertations

No abstract provided.

Functions Of Strategic Liner Shipping Alliance Under The Market Downturn Environment, Zuwei He

World Maritime University Dissertations

No abstract provided.

Cooperation In Delay-Tolerant Networks With Wireless Energy Transfer: Performance Analysis And Optimization, Dusit Niyato, Ping Wang, Hwee-Pink Tan, Walid Saad, Dong In Kim

Research Collection School Of Computing and Information Systems

We consider a delay-tolerant network (DTN) whose mobile nodes are assigned to collect packets from data sources and deliver them to a sink (i.e., a gateway). Each mobile node operates by using energy transferred wirelessly from the gateway. For such a network, two main issues are studied. First, when a mobile node is at the data source, this node must decide on whether to accept the packet received from the data source or not. In contrast, whenever a mobile node is at the gateway, it has to decide on whether to transmit the packets collected from the data sources or …

On Mining Lifestyles From User Trip Data, Meng-Fen Chiang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Large cities today are facing major challenges in planning and policy formulation to keep their growth sustainable. In this paper, we aim to gain useful insights about people living in a city by developing novel models to mine user lifestyles represented by the users' activity centers. Two models, namely ACMM and ACHMM, have been developed to learn the activity centers of each user using a large dataset of bus and subway train trips performed by passengers in Singapore. We show that ACHMM and ACMM yield similar accuracies in location prediction task. We also propose methods to automatically predict "home", "work" …

Fast Optimal Aggregate Point Search For A Merged Set On Road Networks, Weiwei Sun, Chong Chen, Baihua Zheng, Chunan Chen, Liang Zhu, Weimo Liu, Yan Huang

Research Collection School Of Computing and Information Systems

Aggregate nearest neighbor query, which returns an optimal target point that minimizes the aggregate distance for a given query point set, is one of the most important operations in spatial databases and their application domains. This paper addresses the problem of finding the aggregate nearest neighbor for a merged set that consists of the given query point set and multiple points needed to be selected from a candidate set, which we name as merged aggregate nearest neighbor(MANN) query. This paper proposes two algorithms to process MANN query on road networks when aggregate function is max. Then, we extend the algorithms …

Perceptions Of Bike Sharing In Underserved Communities Within Milwaukee And The Twin Cities, James Hannig

Theses and Dissertations

Despite becoming increasingly more popular in cities across North America, many bikeshare systems have received criticism for not reaching minority and low-income populations. Several bikeshare operators have implemented measures to reach these populations including removing financial barriers, placing stations in underserved neighborhoods, and partnering with various community organizations. However, until recently, few have explored how people in these underserved areas perceive bike sharing.

Feedback was solicited from key community partners in Milwaukee, Wisconsin and Minneapolis/St. Paul, Minnesota to better understand how bike sharing is perceived in underserved communities and to determine whether other models could better address the transportation needs …

Solving Multi-Vehicle Profitable Tour Problem Via Knowledge Adoption In Evolutionary Bi-Level Programming, Stephanus Daniel Handoko, Abhishek Gupta, Chen Kim Heng, Hoong Chuin Lau, Yew Soon Ong, Puay Siew Tan

Research Collection School Of Computing and Information Systems

Profitable tour problem (PTP) belongs to the class of vehicle routing problem (VRP) with profits seeking to maximize the difference between the total collected profit and the total cost incurred. Traditionally, PTP involves single vehicle. In this paper, we consider PTP with multiple vehicles. Unlike the classical VRP that seeks to serve all customers, PTP involves the strategic-level customer selection so as to maximize the total collected profit and the operational-level route optimization to minimize the total cost incurred. Therefore, PTP is essentially the knapsack problem at the strategic level with VRP at the operational level. That means the evolutionary …

Efficient Reverse Top-K Boolean Spatial Keyword Queries On Road Networks, Yunjun Gao, Xu Qin, Baihua Zheng, Gang Chen

Research Collection School Of Computing and Information Systems

Reverse k nearest neighbor (RkNN) queries have a broad application base such as decision support, profile-based marketing, and resource allocation. Previous work on RkNN search does not take textual information into consideration or limits to the Euclidean space. In the real world, however, most spatial objects are associated with textual information and lie on road networks. In this paper, we introduce a new type of queries, namely, reverse top-k Boolean spatial keyword (RkBSK) retrieval, which assumes objects are on the road network and considers both spatial and textual information. Given a data set P on a road network and a …

Improving Public Transit Accessibility For Blind Riders By Crowdsourcing Bus Stop Landmark Locations With Google Street View: An Extended Analysis, Kotaro Hara, Shiri Azenkot, Megan Campbell, Cynthia L. Bennett, Vicki Le, Sean Pannella, Robert Moore, Kelly Minckler, Rochelle H. Ng, Jon E. Froehlich

Research Collection School Of Computing and Information Systems

Low-vision and blind bus riders often rely on known physical landmarks to help locate and verify bus stoplocations (e.g., by searching for an expected shelter, bench, or newspaper bin). However, there are currentlyfew, if any, methods to determine this information a priori via computational tools or services. In thisarticle, we introduce and evaluate a new scalable method for collecting bus stop location and landmarkdescriptions by combining online crowdsourcing and Google Street View (GSV). We conduct and report onthree studies: (i) a formative interview study of 18 people with visual impairments to inform the designof our crowdsourcing tool, (ii) a comparative …