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    Safety Evaluation of an Adaptive Signal Control Technology Using an Empirical Bayes Approach 

    Source: Journal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 004:;page 04022008
    Author(s): John H. Kodi; Angela E. Kitali; Thobias Sando; Priyanka Alluri; Raj Ponnaluri
    Publisher: ASCE
    Abstract: Adaptive signal control technology (ASCT) is a traffic management strategy that optimizes signal timing based on actual traffic demand. Although meant to improve the operational performance of signalized intersections, ...
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    Quantifying the Safety Benefits of Transit Signal Priority Using Full Bayes Before–After Study 

    Source: Journal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 148 ):;issue: 001:;page 04021102
    Author(s): MD Sultan Ali; Angela E. Kitali; John Kodi; Priyanka Alluri; Thobias Sando
    Publisher: ASCE
    Abstract: Transit signal priority (TSP) is a strategy that prioritizes the movement of transit vehicles through a signalized intersection to minimize transit delay and improve travel time reliability. Although the operational benefits ...
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    Examining the Influence of Work Zones on the Propensity of Secondary Crashes 

    Source: Journal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 009:;page 04022061
    Author(s): Angela E. Kitali; Henrick J. Haule; Priyanka Alluri; Thobias Sando
    Publisher: ASCE
    Abstract: Work zones are essential to maintaining and upgrading highways. The constrained driving environment in work zones tends to disturb the normal traffic flow, leading to reductions in speed and road capacity. These conditions ...
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    Analyzing Pedestrian Fatality Risk in a Developing Country: Empirical Assessment with Insights from Dar es Salaam, Tanzania 

    Source: Journal of Transportation Engineering, Part A: Systems:;2023:;Volume ( 149 ):;issue: 009:;page 04023081-1
    Author(s): Henry P. Sawaki; John H. Kodi; Angela E. Kitali; Emmanuel Kidando; Geophrey Mbatta
    Publisher: ASCE
    Abstract: Pedestrian safety is a critical societal concern, especially in low-income countries, as pedestrian crashes increase worldwide. Among other road users, pedestrians are most vulnerable to severe injury and mortality in ...
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    Applying Probabilistic Model to Quantify Influence of Rainy Weather on Stochastic and Dynamic Transition of Traffic Conditions 

    Source: Journal of Transportation Engineering, Part A: Systems:;2019:;Volume (0145):;issue:005
    Author(s): Emmanuel Kidando;Angela E. Kitali;Sia M. Lyimo;Thobias Sando;Ren Moses;Valerian Kwigizile;Deo Chimba
    Publisher: American Society of Civil Engineers
    Abstract: This study used a time-varying Markov chain (TMC) assumption to develop an empirical probabilistic model that evaluates the influence of rainy weather and traffic volume on the dynamic transition of traffic conditions. The ...
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    Applying Probabilistic Model to Quantify Influence of Rainy Weather on Stochastic and Dynamic Transition of Traffic Conditions 

    Source: Journal of Transportation Engineering, Part A: Systems:;2019:;Volume ( 145 ):;issue: 005
    Author(s): Emmanuel Kidando; Angela E. Kitali; Sia M. Lyimo; Thobias Sando; Ren Moses; Valerian Kwigizile; Deo Chimba
    Publisher: American Society of Civil Engineers
    Abstract: This study used a time-varying Markov chain (TMC) assumption to develop an empirical probabilistic model that evaluates the influence of rainy weather and traffic volume on the dynamic transition of traffic conditions. The ...
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    Prediction of Traffic Incident Clearance Duration Using Neural Network for Multimodal Data Distribution 

    Source: Journal of Transportation Engineering, Part A: Systems:;2024:;Volume ( 150 ):;issue: 009:;page 04024052-1
    Author(s): Emmanuel Kidando; Meshack Mihayo; Jimoku H. Salum; Boniphace Kutela; Angela E. Kitali; Priyanka Alluri; Thobias Sando
    Publisher: American Society of Civil Engineers
    Abstract: Traffic incidents adversely affect the safety and mobility of our transportation network. As such, accurate prediction of incident duration is critical in developing strategies and deploying resources to quickly clear ...
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    Safety Evaluation of High-Occupancy Toll Facilities Using Bayesian Networks 

    Source: Journal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 147 ):;issue: 005:;page 04021018-1
    Author(s): Angela E. Kitali; Emmanuel Kidando; Boniphace Kutela; Cecilia Kadeha; Priyanka Alluri; Thobias Sando
    Publisher: ASCE
    Abstract: High-occupancy toll (HOT) lanes have increasingly been adopted as a strategy to reduce congestion. While numerous studies have focused on the operations of HOT facilities, little is known about their safety performance. ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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