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Vehicle speeds and operating costs : models for road planning and management (Inglês)

Road-user costs are the largest cost elements in road transport. Improvements in road conditions can yet pay substantial dividends by reducing vehicle operating costs. Expressing vehicle operating costs in relation to road characteristics--geometry and pavement condition--is the logical approach. For certain cost components, especially fuel consumption, the required data can be obtained by controlled experiments. Vehicle maintenance costs utilizing extensive road-user surveys are needed. This volume takes an aggregate-mechanistic view of vehicle speed and operating costs under free flow conditions. Basing their analysis on the mechanistic principles of propulsion and motion as well as on postulated assumptions of driver behavior, the authors arrive at predictions at three levels of detail, ranging from a simulation method for use in detailed geometric design at the link level to an aggregate method for use in investment planning at the sectoral level. The models were estimated using the comprehensive database collected in the Brazil-UNDP-World Bank highway research project and were validated along with data sets from India. One of the significant contributions to highway economics research made in this study is the probabilistic limiting velocity approach to steady-state speed prediction, which, combined with the aggregate-mechanistic methodology, will provide a possible basis for future research on the far more complex problem of operating costs under congested conditions.

Detalhes

  • Autor

    Watanatada,Thawat, Dhareshwar,Ashok M.

  • Data do documento

    1987/12/31

  • TIpo de documento

    Documento de Trabalho (Série Numerada)

  • No. do relatório

    10082

  • Nº do volume

    1

  • Total Volume(s)

    1

  • País

    Mundo,

  • Região

    Regiões Mundiais,

  • Data de divulgação

    2010/07/01

  • Disclosure Status

    Disclosed

  • Nome do documento

    Vehicle speeds and operating costs : models for road planning and management

  • Palavras-chave

    cost of road construction;types of road surface;Massachusetts Institute of Technology;vehicle operating cost;road section;road user cost;vehicle speed;road surface condition;moment of inertia;types of vehicle;number of lanes;body of knowledge;internal combustion engine;average ambient temperature;effect of price;travel time saving;blanket speed limit;impact of road;linear regression analysis;travel time cost;road surface irregularity;goodness of fit;provision of resource;distance of travel;degree of transferability;flow of air;number of vehicles;average wind speed;cost of vehicle;hours of operation;absence of road;Traffic and Roads;vehicles per day;road roughness;test vehicles;air resistance;surface type;highway research;road characteristic;load level;project datum;heavy truck;vehicle utilization;vehicle class;aggregate model;light vehicle;surface characteristic;micro model;aerodynamic drag;vehicle characteristic;horizontal alignment;energy balance;engine speed;unpaved road;driving speed;vehicle operation;transport cost;policy variable;running cost;local adaptation;model form;independent variable;relative price;road width;gross weight;vehicle operator;algebraic functions;vehicle mechanic;road improvement;articulated truck;traffic environment;regional factors;road alignment;physical characteristic;vehicle depreciation;local condition;light truck;horizontal curve;field data;simulation model;fleet size;suspension system;field study;wind velocity;large bus;detail level;skin friction;experimental data;cost component;parameter value;vehicle weight;vehicle load;energy loss;physical resources;adaptive behavior;cost minimization;highway planner;standard road;commercial vehicle;speed reduction;rut depth;pavement type;labor hour;future traffic;vehicle maintenance;future research;roughness level;mechanical property;survey data;steep hill;partial derivative;surface treatment;round trip;basic model;consumption datum;fuel economy;inflation pressures;travel distance;measure of use;vibration level;shoulder width;highway planning;informal conversation;road surfacing;military research;vehicle driving;discriminatory power;empirical support;statistical confidence;common sense;conversion factor;calibration factor;field experiment;information base;alternative procedure;computer simulation;research effort;relative magnitude;numerical value;surface standard;steep gradient;classification scheme;vehicle manufacturer;average rainfall;vehicle cost;air mass;moving vehicle;aerodynamic resistance;angular deviation;load carry;empirical relationship;consistency requirement;theoretical model;regional adaptation;diesel engine;tire pressure;engineering knowledge;gasoline engine;internal friction;consumption information;vehicle population;investment policy;present study;consumption model;vehicle engine;physical phenomena;extensive use;controlled condition;model calibration;spot improvement;aggregate function;constant term;surface effects;calibration purposes;comparative advantage;minimum values;regression line;behavioral assumptions;unknown parameter;previous work;flow conditions;observed value;adjustment factor;friction coefficient;model specification;empirical evidence;information requirement;long-term adaptation;earth road;asphaltic concrete;asphalt concrete;multiple dimension;factorial design;coefficient estimate;asymptotic behavior;simple average;mathematical model;traffic regulation;labor model;average values;positive value;empirical study;sustainable level;regression results;aggregate data;parameter estimation;spreadsheet package;road planning;Research Support;investment planning;alternative aggregation;quantitative evidence;fuel price;estimation procedure;application software;technological development;vehicle driver;section show;labor requirement;resource consumption;economics research;policy sensitivity;resource cost;simulation method;experimental design;forest service;maintenance expenditure;effect model;road maintenance;road agency;research institution

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