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    Estimation of Mobile Emissions Reduction from Using Electronic Tolls

    Source: Journal of Transportation Engineering, Part A: Systems:;2001:;Volume ( 127 ):;issue: 004
    Author:
    Anthony A. Saka
    ,
    Dennis K. Agboh
    ,
    Simon Ndiritu
    ,
    Richard A. Glassco
    DOI: 10.1061/(ASCE)0733-947X(2001)127:4(327)
    Publisher: American Society of Civil Engineers
    Abstract: The Baltimore Metropolitan Area is classified as a severe nonattainment area under the Clean Air Act Amendments of 1990. Consequently, it operates on a stringent emissions budget and is mandated to embark on mitigation measures. The area has been aggressively implementing emissions control and transportation demand management programs. One of the newest emissions control schemes in the Baltimore Metropolitan Area is the deployment of electronic toll collection (ETC) technology, locally known as M-Tag, at the three toll facilities (the Fort McHenry, Baltimore Harbor, and Key Bridge toll plazas). The ETC deployment, which began in the spring of 1999, has already enjoyed a significant market penetration. The objectives of the study described herein are twofold. First, use a microscopic simulation model to simulate the existing traffic situations at the Fort McHenry Tunnel toll facility, which is the largest toll plaza in the state of Maryland. Observed field data were used to validate simulation results. Second, capture the benefits inherent in the use of ETC technology by undertaking a comparative analysis of pre-ETC and post-ETC scenarios. The primary measures of effectiveness used are (1) increased throughput and hence reduced wait time at the toll plazas; and (2) reduced mobile emissions [hydrocarbon (HC), carbon monoxide (CO), and nitrogen oxide (NO
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      Estimation of Mobile Emissions Reduction from Using Electronic Tolls

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    https://yetl.yabesh.ir/yetl1/handle/yetl/37359
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorAnthony A. Saka
    contributor authorDennis K. Agboh
    contributor authorSimon Ndiritu
    contributor authorRichard A. Glassco
    date accessioned2017-05-08T21:04:04Z
    date available2017-05-08T21:04:04Z
    date copyrightAugust 2001
    date issued2001
    identifier other%28asce%290733-947x%282001%29127%3A4%28327%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/37359
    description abstractThe Baltimore Metropolitan Area is classified as a severe nonattainment area under the Clean Air Act Amendments of 1990. Consequently, it operates on a stringent emissions budget and is mandated to embark on mitigation measures. The area has been aggressively implementing emissions control and transportation demand management programs. One of the newest emissions control schemes in the Baltimore Metropolitan Area is the deployment of electronic toll collection (ETC) technology, locally known as M-Tag, at the three toll facilities (the Fort McHenry, Baltimore Harbor, and Key Bridge toll plazas). The ETC deployment, which began in the spring of 1999, has already enjoyed a significant market penetration. The objectives of the study described herein are twofold. First, use a microscopic simulation model to simulate the existing traffic situations at the Fort McHenry Tunnel toll facility, which is the largest toll plaza in the state of Maryland. Observed field data were used to validate simulation results. Second, capture the benefits inherent in the use of ETC technology by undertaking a comparative analysis of pre-ETC and post-ETC scenarios. The primary measures of effectiveness used are (1) increased throughput and hence reduced wait time at the toll plazas; and (2) reduced mobile emissions [hydrocarbon (HC), carbon monoxide (CO), and nitrogen oxide (NO
    publisherAmerican Society of Civil Engineers
    titleEstimation of Mobile Emissions Reduction from Using Electronic Tolls
    typeJournal Paper
    journal volume127
    journal issue4
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)0733-947X(2001)127:4(327)
    treeJournal of Transportation Engineering, Part A: Systems:;2001:;Volume ( 127 ):;issue: 004
    contenttypeFulltext
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