HIGHWAY ENGINEERING

By S. ELZAM

TABLE OF CONTENTS CHAPTER DEVELOPMENT STATUS AND GLOBAL COMPETITION TRENDS ANALYSIS OF MAGLEV TRANSPORTATION TECHNOLOGY BASED ON PATENT DATA ? ABSTRACT ? INTRODUCTION ? MAGLEV PATENT DATA SOURCES AND SEARCH RESULTS ? ANALYSIS OF MAGLEV PATENT DATA SEARCH RESULTS ? CONCLUSIONS AND SUGGESTIONS ? REFERENCES CHAPTER A REVIEW ON MOBILE AND SENSOR NETWORKS INNOVATIONS IN INTELLIGENT TRANSPORTATION SYSTEMS ? CHALLENGES THAT CAN BE SOLVED BY ITS ? RESEARCH ON WSN FOR ITS ? ITS SOLUTIONS IN MARKET ? CONCLUSION ? ACKNOWLEDGEMENTS URBAN AND TRANSPORT PLANNING, ENVIRONMENTAL EXPOSURES AND HEALTH-NEW CONCEPTS, METHODS AND TOOLS TO IMPROVE HEALTH IN CITIES ? BACKGROUND ? METHODS ? RESULTS AND DISCUSSION ? CONCLUSIONS THE IMPACT OF VIOLATIONS OF BICYCLES AND PEDESTRIANS ON VEHICLE EMISSIONS AT SIGNALIZED INTERSECTIONS ? MATERIALS AND METHODS ? CASE STUDY ? ACKNOWLEDGMENTS ANALYSIS OF FACTORS AFFECTING A DRIVER’S DRIVING SPEED SELECTION IN LOW ILLUMINATION ? RESEARCH METHODS ? RESULTS ? DISCUSSION ? LIMITATIONS PREDICTING CRASH FREQUENCY FOR URBAN EXPRESSWAY CONSIDERING COLLISION TYPES USING REAL-TIME TRAFFIC DATA ? DATA COLLECTION AND PREPARATION ? MODELLING ? PERFORMANCE EVALUATION OF PREDICTION ? AUTHORS’ CONTRIBUTIONS EMERGING VEHICLE TECHNOLOGIES & THE SEARCH FOR URBAN MOBILITY SOLUTIONS ? LANDSCAPE OF EMERGING VEHICLE BASED TECHNOLOGIES ? POTENTIAL BENEFITS OF AUTOMATED VEHICLE USE IN WASHINGTON METRO: AN ILLUSTRATIVE REVIEW ? RISKS AND CHALLENGES ANALYSIS OF THE IMPACT OF TRAFFIC VIOLATION MONITORING ON THE VEHICLE SPEEDS OF URBAN MAIN ROAD: TAKING CHINA AS AN EXAMPLE ? METHODOLOGY ? DATA ANALYSIS AND RESULTS ? DISCUSSION AND CONCLUSIONS SOFT SPACE REGIONAL PLANNING AS AN APPROACH FOR INTEGRATED TRANSPORT AND LAND USE PLANNING IN SWEDEN – CHALLENGES AND WAYS FORWARD ? STRUCTURAL IMAGE FOR SKÅNE ? ASSESSMENT CRITERIA FOR ANALYSING THE INFLUENCE OF THE REGIONAL STRATEGY AREAS ON MUNICIPAL PLANNING ? GEOGRAPHICAL AND ADMINISTRATIVE CONTEXT OF THE CASE STUDY CHAPTER 10 A COMPUTATIONAL FRAMEWORK FOR REVEALING COMPETITIVE TRAVEL TIMES WITH LOW-CARBON MODES BASED ON SMARTPHONE DATA COLLECTION ? COMPUTATIONAL FRAMEWORK ? EXPERIMENT SETUP AND COLLECTED DATA IN THE CASE STUDY REGION ? EXPERIMENTAL RESULTS