The Experts below are selected from a list of 2769 Experts worldwide ranked by ideXlab platform
Luis Picado Santos - One of the best experts on this subject based on the ideXlab platform.
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a web spatial decision support system for vehicle routing using google maps
Decision Support Systems, 2011Co-Authors: Luis Picado Santos, Joao Coutinhorodrigues, Carlos Henggeler AntunesAbstract:This article presents a user-friendly web-based spatial decision support system (wSDSS) aimed at generating optimized vehicle routes for multiple vehicle routing problems that involve serving the demand located along arcs of a transportation network. The wSDSS incorporates Google Maps^(TM) (cartography and network data), a database, a heuristic and an ant-colony meta-heuristic developed by the authors to generate routes and detailed individual vehicle route maps. It accommodates realistic system specifics, such as vehicle capacity and shift time constraints, as well as network constraints such as one-way streets and prohibited turns. The wSDSS can be used for ''what-if'' analysis related to possible changes to input parameters such as vehicle capacity, maximum driving shift time, seasonal variations of demand, network modifications, and imposed arc orientations. Since just a web browser is needed, it can be easily adapted to be widely used in many real-world situations. The system was tested for urban Trash Collection in Coimbra, Portugal.
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implementing a multi vehicle multi route spatial decision support system for efficient Trash Collection in portugal
Transportation Research Part A-policy and Practice, 2008Co-Authors: Luis Picado Santos, Joao Coutinhorodrigues, John R CurrentAbstract:Abstract More efficient vehicle routing can improve a firm’s competitive advantage or increase the efficiency by which governmental agencies supply public services. More efficient routing can also reduce traffic congestion and air pollution which are growing problems in many urban areas. Unfortunately, the identification of the optimal solution to most vehicle routing problems is computationally intractable. This article presents a user-friendly spatial decision support system (SDSS) to generate vehicle routes for multiple-vehicle routing problems that serve demand located along arcs and at nodes of the transportation network. The SDSS incorporates a geographical information system (GIS) and heuristic solution procedures to generate routes, system-wide data, and maps, as well as individual vehicle route maps, directions, and data quickly. It accommodates realistic system specifics such as vehicle capacity and time constraints and network constraints such as one-way streets, and prohibited turns. The system was tested for Trash Collection in Coimbra, Portugal. In addition, the SDSS can be used for “what-if” analysis related to possible changes to input parameters such as vehicle capacity and maximum driving time.
John R Current - One of the best experts on this subject based on the ideXlab platform.
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implementing a multi vehicle multi route spatial decision support system for efficient Trash Collection in portugal
Transportation Research Part A-policy and Practice, 2008Co-Authors: Luis Picado Santos, Joao Coutinhorodrigues, John R CurrentAbstract:Abstract More efficient vehicle routing can improve a firm’s competitive advantage or increase the efficiency by which governmental agencies supply public services. More efficient routing can also reduce traffic congestion and air pollution which are growing problems in many urban areas. Unfortunately, the identification of the optimal solution to most vehicle routing problems is computationally intractable. This article presents a user-friendly spatial decision support system (SDSS) to generate vehicle routes for multiple-vehicle routing problems that serve demand located along arcs and at nodes of the transportation network. The SDSS incorporates a geographical information system (GIS) and heuristic solution procedures to generate routes, system-wide data, and maps, as well as individual vehicle route maps, directions, and data quickly. It accommodates realistic system specifics such as vehicle capacity and time constraints and network constraints such as one-way streets, and prohibited turns. The system was tested for Trash Collection in Coimbra, Portugal. In addition, the SDSS can be used for “what-if” analysis related to possible changes to input parameters such as vehicle capacity and maximum driving time.
Joao Coutinhorodrigues - One of the best experts on this subject based on the ideXlab platform.
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a web spatial decision support system for vehicle routing using google maps
Decision Support Systems, 2011Co-Authors: Luis Picado Santos, Joao Coutinhorodrigues, Carlos Henggeler AntunesAbstract:This article presents a user-friendly web-based spatial decision support system (wSDSS) aimed at generating optimized vehicle routes for multiple vehicle routing problems that involve serving the demand located along arcs of a transportation network. The wSDSS incorporates Google Maps^(TM) (cartography and network data), a database, a heuristic and an ant-colony meta-heuristic developed by the authors to generate routes and detailed individual vehicle route maps. It accommodates realistic system specifics, such as vehicle capacity and shift time constraints, as well as network constraints such as one-way streets and prohibited turns. The wSDSS can be used for ''what-if'' analysis related to possible changes to input parameters such as vehicle capacity, maximum driving shift time, seasonal variations of demand, network modifications, and imposed arc orientations. Since just a web browser is needed, it can be easily adapted to be widely used in many real-world situations. The system was tested for urban Trash Collection in Coimbra, Portugal.
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implementing a multi vehicle multi route spatial decision support system for efficient Trash Collection in portugal
Transportation Research Part A-policy and Practice, 2008Co-Authors: Luis Picado Santos, Joao Coutinhorodrigues, John R CurrentAbstract:Abstract More efficient vehicle routing can improve a firm’s competitive advantage or increase the efficiency by which governmental agencies supply public services. More efficient routing can also reduce traffic congestion and air pollution which are growing problems in many urban areas. Unfortunately, the identification of the optimal solution to most vehicle routing problems is computationally intractable. This article presents a user-friendly spatial decision support system (SDSS) to generate vehicle routes for multiple-vehicle routing problems that serve demand located along arcs and at nodes of the transportation network. The SDSS incorporates a geographical information system (GIS) and heuristic solution procedures to generate routes, system-wide data, and maps, as well as individual vehicle route maps, directions, and data quickly. It accommodates realistic system specifics such as vehicle capacity and time constraints and network constraints such as one-way streets, and prohibited turns. The system was tested for Trash Collection in Coimbra, Portugal. In addition, the SDSS can be used for “what-if” analysis related to possible changes to input parameters such as vehicle capacity and maximum driving time.
Carlos Henggeler Antunes - One of the best experts on this subject based on the ideXlab platform.
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a web spatial decision support system for vehicle routing using google maps
Decision Support Systems, 2011Co-Authors: Luis Picado Santos, Joao Coutinhorodrigues, Carlos Henggeler AntunesAbstract:This article presents a user-friendly web-based spatial decision support system (wSDSS) aimed at generating optimized vehicle routes for multiple vehicle routing problems that involve serving the demand located along arcs of a transportation network. The wSDSS incorporates Google Maps^(TM) (cartography and network data), a database, a heuristic and an ant-colony meta-heuristic developed by the authors to generate routes and detailed individual vehicle route maps. It accommodates realistic system specifics, such as vehicle capacity and shift time constraints, as well as network constraints such as one-way streets and prohibited turns. The wSDSS can be used for ''what-if'' analysis related to possible changes to input parameters such as vehicle capacity, maximum driving shift time, seasonal variations of demand, network modifications, and imposed arc orientations. Since just a web browser is needed, it can be easily adapted to be widely used in many real-world situations. The system was tested for urban Trash Collection in Coimbra, Portugal.
Anita Layden - One of the best experts on this subject based on the ideXlab platform.
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piloting a low cost hardware intervention to reduce improper disposal of solid waste in communal toilets in low income settlements in dhaka bangladesh
BMC Public Health, 2017Co-Authors: Farzana Yeasmin, Stephen P Luby, Ronald Saxton, Fosiul A Nizame, Mahbubul Alam, Notan Chandra Dutta, Abdullah Al Masud, Dalia Yeasmin, Anita LaydenAbstract:Bangladesh faces daunting challenges in addressing the sanitation needs of its urban poor. Maintaining the cleanliness and functionality of communal toilets is dependent upon periodic emptying of fecal sludge, and cooperation between users of communal toilets. Trash disposal into latrines can block the outflow pipes, rendering the toilets non-functional. Pre-intervention: We conducted in-depth interviews with five operators of fecal sludge emptying equipment and five adult residents who were also caregivers of children. We identified factors contributing to improper disposal of Trash into communal toilets, a barrier to operation of the equipment, in low-income communities of Dhaka, Bangladesh. Intervention design: We developed behavior change communication materials to discourage waste disposal in toilets, and promote use of waste bins. We conducted six focus group discussions with adult male, female, landlord and children to select the preferred design for waste bins to be placed inside toilets, and finalize communication materials. Post-intervention: We then pilot-tested an intervention package to promote appropriate Trash disposal practices and thus facilitate periodic removal of fecal sludge when the latrine pits become full. We conducted 20 in-depth interviews and four focus group discussions with community residents, landlords and cleaners of communal toilets. Barriers to appropriate waste disposal included lack of private location for disposal of menstrual hygiene products, limited options for formal Trash Collection and disposal, and the use of plastic bags for disposing children’s feces. A pilot intervention including behavior change communication and Trash bins was implemented in two urban slum communities. Spot checks confirmed that the bins were in place and used. Respondents described positive improvements in the appearance of the toilet and surrounding environment. The current practice on the part of local residents of disposing of waste into toilets impedes the safe removal of fecal sludge and impairs toilet functionality. Residents reported positive changes in toilet cleanliness and usability resulting from this intervention, and this both improves the user experience with toilets, and also promotes the sustainability of the entrepreneurial model of Vacutug operators supported by WSUP.
