UID:
almafu_9959237769202883
Format:
1 online resource (761 pages)
Edition:
1st ed.
ISBN:
1-351-64425-4
,
1-4822-1053-3
Note:
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- List of symbols -- List of abbreviations -- Preface -- Author -- 1. Introduction -- 1.1 Overview of a multimodal transportation system -- 1.1.1 Multimodal transportation facilities -- 1.1.2 Transportation vehicles -- 1.1.3 Passenger and freight movements -- 1.2 Transportation system characteristics -- 1.2.1 Interdependent system components -- 1.2.2 System component life cycle considerations -- 1.2.3 Multidimensional impacts and multiple performance goals -- 1.3 Transportation asset management process -- 1.3.1 Transportation goals, objectives, and performance measures -- 1.3.2 Data needs, collection, processing, and database management -- 1.3.3 Multimodal physical facility and system usage performance modeling -- 1.3.4 Travel demand and traffic flow predictions -- 1.3.5 Transportation system performance trend analysis -- 1.3.6 Needs assessment and investment alternatives -- 1.3.7 Project evaluation -- 1.3.8 Project selection and programming -- 1.3.9 Project implementation and feedback -- 2. Transportation goals, objectives, and performance measures -- 2.1 General -- 2.2 Transportation policy goals, system management goals, and objectives -- 2.3 Transportation performance measures -- 2.3.1 Desirable properties -- 2.3.2 Performance measures under policy goals -- 2.3.3 Performance measures under system management goals -- 2.3.4 Network- and project-level performance measures -- 3. Data collection, processing, and database management -- 3.1 Dimensions of data needs for transportation asset management -- 3.1.1 Data needs for pavement management -- 3.1.2 Data needs for bridge and tunnel management -- 3.1.3 Data needs for maintenance management -- 3.1.4 Data needs for traffic control and safety hardware management -- 3.1.5 Data needs for congestion management.
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3.1.6 Data needs for safety management -- 3.1.7 Data needs for transit performance management -- 3.1.8 Network-wide forecasted traffic data -- 3.2 Data sampling methods -- 3.2.1 Simple random sampling method -- 3.2.1.1 Sample size -- 3.2.1.2 Data sampling analysis -- 3.2.2 Systematic random sampling method -- 3.2.3 Stratified random sampling method -- 3.2.3.1 Sample size -- 3.2.3.2 Data sampling analysis -- 3.2.4 Cluster sampling method -- 3.2.4.1 Sample size -- 3.2.4.2 Data sampling analysis -- 3.2.5 Combined sampling -- 3.3 Data collection techniques -- 3.3.1 Passenger demand data collection -- 3.3.2 Truck demand data collection -- 3.3.3 Pavement data collection -- 3.3.3.1 Pavement segment delineation -- 3.3.3.2 Surface condition data collection -- 3.3.3.3 Pavement structural capacity data collection -- 3.3.4 Bridge condition data collection -- 3.3.5 Traffic control and safety hardware data collection -- 3.3.5.1 Traffic sign and pavement marking data collection -- 3.3.5.2 Traffic lighting illumination level data collection -- 3.3.6 Travel time data collection -- 3.3.6.1 Conventional travel time data collection -- 3.3.6.2 Real-time traffic data collection -- 3.3.7 Transit performance data collection -- 3.3.7.1 Speed-and-delay survey -- 3.3.7.2 Passenger volume and load count -- 3.3.7.3 Passenger boarding and alighting counts -- 3.4 Data collection frequency -- 3.5 Data quality assurance -- 3.5.1 Quality standards -- 3.5.2 Quality assurance -- 3.6 Data integration -- 3.6.1 Data integration process -- 3.6.2 Data transformations -- 3.6.3 Transformation between linear reference systems -- 3.6.4 Transformation between GPS and LRS -- 3.6.5 Data integration techniques -- 3.7 Database development and management -- 3.7.1 Database planning, design, and construction -- 3.7.1.1 Data standards -- 3.7.1.2 Metadata and data dictionary -- 3.7.1.3 Requirements.
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3.7.1.4 Testing and implementation -- 3.7.1.5 Database evaluation -- 3.7.2 Data modeling -- 3.7.3 New requirements for database management -- 3.7.3.1 Storage capacity -- 3.7.3.2 Heterogeneous data -- 3.7.3.3 Bad data and missing data -- Problems -- 4. Transportation facility performance modeling -- 4.1 General -- 4.1.1 Characteristics of facility performance measures and models -- 4.1.2 Facility condition deterioration and service life expectancy -- 4.2 Performance model types -- 4.2.1 Condition deterioration model types -- 4.2.1.1 Regression models -- 4.2.1.2 Econometric models -- 4.2.1.3 Markov models -- 4.2.1.4 Reliability-based models -- 4.2.1.5 Ordered probability models -- 4.2.1.6 Bayesian models -- 4.2.1.7 Nonparametric binary recursive partitioning method -- 4.2.1.8 Artificial intelligence models -- 4.2.2 Service life expectancy model types -- 4.2.2.1 Regression models -- 4.2.2.2 Parametric survival models -- 4.2.2.3 Semi-parametric survival models -- 4.2.2.4 Neural network models -- 4.3 Model estimation techniques -- 4.3.1 Preliminary data analysis -- 4.3.2 Classical regression model assumptions -- 4.3.3 OLS estimation -- 4.3.4 ML estimation -- 4.3.5 Model validation -- 4.3.6 Model predictability evaluation -- 4.4 Pavement performance modeling -- 4.4.1 Pavement types -- 4.4.2 Pavement distresses -- 4.4.3 Pavement condition indices -- 4.4.3.1 Index scales -- 4.4.3.2 Typical index types -- 4.4.4 Pavement performance models -- 4.4.4.1 AASHTO pavement condition deterioration model -- 4.4.4.2 George pavement condition deterioration models -- 4.4.4.3 SHRP distress-based deterioration models -- 4.4.4.4 ARRB pavement condition deterioration model -- 4.4.4.5 Pavement routine maintenance and rehabilitation interval tradeoff model -- 4.4.4.6 Pavement preventive and corrective maintenance tradeoff models -- 4.5 Bridge performance modeling.
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4.5.1 Bridge types -- 4.5.2 Bridge element condition ratings -- 4.5.3 Bridge performance models -- 4.5.3.1 Markov bridge element condition transition models -- 4.5.3.2 BRP bridge element condition deterioration models -- 4.6 Traffic control and safety hardware performance modeling -- 4.6.1 Traffic control and safety hardware categories, components, and performance -- 4.6.2 Traffic sign retroreflectivity deterioration models -- 4.6.3 Lighting illuminance deterioration model -- 4.6.4 Traffic signal head deterioration model -- 4.6.5 Pavement marking retroreflectivity deterioration models -- 4.6.6 Concrete barrier deterioration models -- 4.7 Multimodal facility performance assessment -- 4.7.1 Transit condition rating -- 4.7.2 Rail track condition rating and modeling -- 4.7.3 Inland waterway condition rating -- 4.7.4 Bikeway condition rating -- 4.7.5 Pedestrian walkway condition rating -- Problems -- 5. Transportation impacts modeling -- 5.1 Transportation agency cost modeling -- 5.1.1 General -- 5.1.1.1 Short- and long-run costs -- 5.1.1.2 Marginal cost and economies of scale -- 5.1.1.3 Methods of measurements -- 5.1.1.4 External and total social costs -- 5.1.2 Highway agency costs -- 5.1.2.1 Highway agency cost estimation methods -- 5.1.2.2 Highway agency cost models -- 5.1.3 Transit agency costs -- 5.1.3.1 Transit accounting costs -- 5.1.3.2 Transit engineering costs -- 5.1.3.3 Transit operating costs with user inputs -- 5.1.4 Non-motorized transportation agency costs -- 5.1.4.1 Bike facility costs -- 5.1.4.2 Pedestrian facility costs -- 5.1.4.3 Traffic calming facility costs -- 5.2 Transportation user cost modeling -- 5.2.1 Vehicle operating costs -- 5.2.1.1 Vehicle energy consumption -- 5.2.1.2 Tire cost -- 5.2.1.3 Vehicle maintenance and repair -- 5.2.1.4 Vehicle depreciation value -- 5.2.2 Vehicle travel time.
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5.2.2.1 Travel time estimation using instantaneous speed-density-flow static models -- 5.2.2.2 Travel time estimation using space-averaged static models -- 5.2.2.3 Travel time estimation using time-averaged static models -- 5.2.2.4 Travel time estimation using dynamic models -- 5.2.2.5 Additional travel time due to intersection delays -- 5.2.2.6 Additional travel time due to parking search -- 5.2.2.7 Short-run travel time cost -- 5.2.2.8 Long-run travel time cost -- 5.2.3 Vehicle crashes -- 5.2.3.1 Safety performance model types -- 5.2.3.2 SPFs for highway segments -- 5.2.3.3 SPFs for highway intersections -- 5.2.3.4 Vehicle crash prediction -- 5.2.4 Vehicle air emissions -- 5.2.4.1 Vehicle air pollutant types -- 5.2.4.2 Vehicle emission factors -- 5.2.4.3 Vehicle air emission models -- 5.2.5 Vehicle noise emissions -- 5.2.5.1 Noise level measurements -- 5.2.5.2 Traffic noise sources -- 5.2.5.3 Traffic noise models -- 5.2.5.4 Traffic noise costs -- 5.3 Transportation indirect impacts modeling -- 5.3.1 Land use impacts -- 5.3.1.1 Land use impacts on transportation -- 5.3.1.2 Transportation impacts on land use -- 5.3.1.3 Monetization of land use impacts -- 5.3.2 Economic development impacts -- 5.3.2.1 Economic impacts dimensions -- 5.3.2.2 Economic impact types -- Problems -- 6. Transportation needs assessment -- 6.1 General -- 6.2 Physical transportation facility needs assessment -- 6.2.1 Threshold condition levels for pavement treatments -- 6.2.2 Threshold condition levels for bridge treatments -- 6.2.3 Threshold condition levels for traffic control and safety hardware treatments -- 6.2.4 Threshold condition levels for multimodal facility treatments -- 6.3 Transportation usage needs assessment -- 6.3.1 Threshold performance levels for vehicle operating costs -- 6.3.2 Threshold performance levels for mobility.
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6.3.3 Threshold performance levels for highway traffic safety.
Additional Edition:
ISBN 1-138-74821-8
Language:
English
Keywords:
Electronic books.
