Development and Application of an International Vehicle Emissions Model

Davis, Nicole; Lents, James; Osses, Mauricio; Nikkila, Nick; Barth, Matthew

doi:10.1177/0361198105193900118

Cited by 92 publications

(36 citation statements)

References 2 publications

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“…Davis et al (2005) proposed a vehicle emissions model which estimates vehicle emissions in any area with given inputs. With information of the vehicle fleet, the model proposed can be used to predict total emissions.…”

Section: Vehicle Routing Models and Methods To Reduce Co2 Emissionmentioning

confidence: 99%

Data driven safe vehicle routing analytics: a differential evolution algorithm to reduce CO $$_{2}$$ 2 emissions and hazardous risks

2016

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Abstract:Contemporary vehicle routing requires ubiquitous computing and massive data in order to deal with the three aspects of transportation such as operations, planning and safety. Out of the three aspects, safety is the most vital and this study refers safety as the reduction of CO2 emissions and hazardous risks. Hence, this paper presents a data driven multi-objective differential evolution (MODE) algorithm to solve the safe capacitated vehicle routing problems (CVRP) by minimizing the greenhouse gas emissions and hazardous risk. The proposed data driven MODE is tested using benchmark instances associated with real time data which have predefined load for each of the vehicle travelling on a specific route and the total capacity summed up from the customers cannot exceed the stated load. Pareto fronts are generated as the solution to this multi-objective problem. Computational results proved the viability of the data driven MODE algorithm to solve the multi-objective safe CVRP with a certain trade-off to achieve an efficient solution. Overall the study suggests 5% increment in cost function is essential to reduce the risk factors. The major contributions of this paper are to develop a multi-objective model for a safe vehicle routing and propose a multi-objective differential evolution (MODE) algorithm that can handle structured and unstructured data to solve the safe capacitated vehicle routing problem.

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Section: Vehicle Routing Models and Methods To Reduce Co2 Emissionmentioning

confidence: 99%

Data driven safe vehicle routing analytics: a differential evolution algorithm to reduce CO $$_{2}$$ 2 emissions and hazardous risks

2016

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“…For all roads inside Kibera road speeds were set to 5 Km/h based on maximum Vacutug velocity 5 . Road speeds in Nairobi were set to 25 Km/h based on averages recorded during an empirical study for the International Vehicle Emissions Model 17 . The time to travel each road segment was then calculated using road length and seed.…”

Section: Methodsmentioning

confidence: 99%

An Evaluation of Spatial Network Modeling To Aid Sanitation Planning In Informal Settlements Using Crowd-Sourced Data

Holderness

Kennedy-Walker²,

Alderson³

et al. 2014

Proceedings of the International Symposium for Next Generation Infrastructure

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Limited water and sanitation infrastructure in rapidly urbanising informal settlements can present significant health and environmental risks to the populations of developing nations. Where formal piped networks are not available, road-based sewage treatmenttransportation options have been cited as a viable alternative. However, little research has been undertaken to evaluate the long-term operational costs of such systems. In this paper we present an evaluation of network modelling, as a novel method to evaluate the costs of road-based sewage treatment-transport options. Such analysis is made possible using crowdsourced, open geospatial data sets that allow us to examine costs based on different spatio-topological network configurations. It is envisaged that engineers could use such a tool as part of the sanitation planning process, to evaluate sanitation network implementation options. This study provides an evaluation of the methods using a case study from the Kibera settlement in Kenya.

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“…Estos estudios encontraron que el sistema de transporte de Lima y Callao puede emitir hasta 367 toneladas por día de nox (Davis et al, 2005, y Lents et al, 2004, un nivel de 78% de las estimaciones de este artículo científico para 2005.…”

Section: Modelo De Asignación Dinámica De Tráfico Y Procedimientos Counclassified

Transporte público de buses versus congestión y contaminación en Lima y Callao

Espinal¹

2017

ECONOMIA

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RESUMENSe mide la influencia del transporte público de buses sobre la congestión vehicular y sobre la contaminación ambiental de Lima y Callao. Se modela el efecto de los flujos de buses sobre la red de transporte mediante un software de asignación dinámica de tráfico Dynasmart. Se construye la base de datos sobre el Plan Maestro 2005-2025. Para ello, se verifica la red de transporte por Google Earth, y se utilizan mediciones de campo sobre capacidad, velocidad, y funciones volumen-demora que describen la congestión vial. Se calculan los flujos de buses con el software Emme3. Se construyen las matrices origen-destino por cada hora a partir de la matriz origendestino de 24 horas del Plan Maestro. En el caso de la congestión, se mide una influencia exacta y otra máxima de los flujos de buses, y también el caso de segregar un carril de vía para un sistema de buses rápidos, un tema frecuente de discusión. En el caso de la contaminación, se utiliza la influencia exacta de los flujos de buses para medir consumo de combustible y emisión de contaminantes para la alternativa de reducción de buses de transporte público y otras cinco alternativas más, entre ellas la implementación de un sistema de buses rápidos con buses a gas. Se obtiene que, reducir la flota de buses a la mitad, incrementa la velocidad de la red de transporte entre 2 y 7% diario y entre 9 y 14% a las 11 am, y que produce un 46% de los beneficios de promover combustibles limpios e inspección como mantenimiento; es decir, que esta medida es poco efectiva en reducir la congestión y que su prioridad debiera reducirse en aliviar la contaminación. Palabras clave: transporte público, congestión vehicular, externalidades, países en desarrollo Códigos JEL: Public bus services versus congestion and pollution in Lima and Callao ABSTRACTThis study measures the influence of public bus services on traffic congestion and environmental pollution in Lima and Callao. The effect of the flow of buses on the transportation network is measured by way of a dynamic traffic assignment program, Dynasmart. The database is Economía Vol. XL, N° 79, semestre enero-junio 2017, pp. 47-86 / ISSN 0254-4415 * Fondos del Concytec hicieron posible la adquisición de software y de construcción de parte de la base de datos necesarios para este artículo científico (contrato 194-2005-CONCYTEC-OAJ). Asimismo, el profesor Bladikas del New Jersey Institute of Technology ha revisado parte crucial de la base de datos del modelo Dynasmart. Agradezco muy especialmente al Comité Editorial de la revista Economía y a los árbitros porque sus observaciones han sido muy útiles para producir este artículo.

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Development and Application of an International Vehicle Emissions Model

Cited by 92 publications

References 2 publications

Data driven safe vehicle routing analytics: a differential evolution algorithm to reduce CO $$_{2}$$ 2 emissions and hazardous risks

Data driven safe vehicle routing analytics: a differential evolution algorithm to reduce CO $$_{2}$$ 2 emissions and hazardous risks

An Evaluation of Spatial Network Modeling To Aid Sanitation Planning In Informal Settlements Using Crowd-Sourced Data

Transporte público de buses versus congestión y contaminación en Lima y Callao

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