Papers by Mashrur Chowdhury
Transportation Research Record, Jul 31, 2019
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arXiv (Cornell University), Dec 6, 2017
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Transportation Research Record, 2017
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IEEE Transactions on Intelligent Transportation Systems, Jun 1, 2015
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International journal of transportation, Aug 31, 2016
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Iet Intelligent Transport Systems, Oct 11, 2016
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Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
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arXiv (Cornell University), Nov 29, 2017
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Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
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Transportation Research Board 94th Annual MeetingTransportation Research Board, 2015
Dwindling revenue sources force transportation engineers to implement less durable solutions to d... more Dwindling revenue sources force transportation engineers to implement less durable solutions to distribute limited resources to the most critical and competing maintenance and development projects. However, implementing less durable solutions often increases the infrastructure life cycle costs. Several recent studies have found that a significant portion of truck traffic operates with weights above legal weight limits, which are not considered in current pavement design practices. These overweight trucks cause accelerated pavement deterioration. In this study, authors investigated the deterioration of pavements to quantify relative pavement damage attributed to overweight trucks compared to trucks within legal weight limits. In South Carolina, weigh-in-motion data revealed that 8.3% trucks were either axle overweight or gross vehicle overweight. To accommodate these 8.3% overweight trucks, which are not considered in the current equivalent single axle load (ESAL) based design method, the hot-mix asphalt (HMA) base layer thickness should be increased by 1% to 6% depending on the roadway functional class. The mechanistic-empirical pavement design guide (MEPDG)-based analysis showed that all types of pavement distress increase with increasing truck gross vehicle weight. Among all distress types, fatigue cracking (top-down and bottom-up) was more sensitive to overweight trucks (up to the typical overweight permit limit) compared to rutting and international roughness index (IRI). Similarly, cracking was more sensitive to trucks loaded above typical overweight permit limit (i.e., superload) compared to rutting or IRI. To maximize the infrastructure service life and minimize life cycle costs, transportation agencies should consider accelerated pavement deterioration due to overweight trucks in pavement design.
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arXiv (Cornell University), Nov 29, 2017
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Journal of Infrastructure Systems, Sep 1, 2016
AbstractOf all roadway vehicles, trucks inflict the greatest deterioration to pavements and bridg... more AbstractOf all roadway vehicles, trucks inflict the greatest deterioration to pavements and bridges owing to their heavy gross weights and axle loads. States issue permits to trucks beyond legal weight limits and collect fees to compensate for additional damage. To study the extent to which state departments of transportation (DOTs) have allowed passage of overweight loads, the first objective of this paper was to characterize overweight load permit practices among all U.S. states, and the second objective was to identify stakeholders’ perspectives on how to modernize current overweight permit practices. Through an analysis of existing fee policies, this research has characterized the state of the practice in permit fees for overweight loads on public roadways, and evaluated these practices. The subsequent data showed a wide array of policies on overweight permitting, such that a single interstate overweight freight trip might encounter several diverse overweight permitting policies. Although the range of...
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ACM Journal on Autonomous Transportation Systems
In this paper, we theoretically develop and numerically validate an asymmetric linear bilateral c... more In this paper, we theoretically develop and numerically validate an asymmetric linear bilateral control model (LBCM), in which the motion information (e.g., position and speed) from the immediate leading and following vehicles are weighted differently. The novelty of the asymmetric LBCM is that using this model all the follower vehicles in a platoon can adjust their acceleration and deceleration to closely follow a constant desired time gap to improve platoon operational efficiency while maintaining local and string stability. We theoretically analyze the local stability of the asymmetric LBCM using the condition for asymptotic stability of a linear time-invariant system and prove the string stability of the asymmetric LBCM using a space gap error attenuation approach. Then, we evaluate the efficacy of the asymmetric LBCM by simulating a closely coupled cooperative adaptive cruise control (CACC) platoon of fully automated trucks in various non-linear acceleration and deceleration st...
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ArXiv, 2017
Annual Average Daily Traffic (AADT) is an important parameter used in traffic engineering analysi... more Annual Average Daily Traffic (AADT) is an important parameter used in traffic engineering analysis. Departments of Transportation (DOTs) continually collect traffic count using both permanent count stations (i.e., Automatic Traffic Recorders or ATRs) and temporary short-term count stations. In South Carolina, 87% of the ATRs are located on interstates and arterial highways. For most secondary highways (i.e., collectors and local roads), AADT is estimated based on short-term counts. This paper develops AADT estimation models for different roadway functional classes with two machine learning techniques: Artificial Neural Network (ANN) and Support Vector Regression (SVR). The models aim to predict AADT from short-term counts. The results are first compared against each other to identify the best model. Then, the results of the best model are compared against a regression method and factor-based method. The comparison reveals the superiority of SVR for AADT estimation for different road...
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This research used microscopic simulation to evaluate operational performance and feasibility of ... more This research used microscopic simulation to evaluate operational performance and feasibility of signal priority for connected vehicles (CV) at a signalized intersection. CVs with signal priority were simulated with penetration levels ranging from 10% to 100% as well as with various combinations of directions being allowed to request priority. These scenarios were compared to optimized signal timings without any priority to determine the effectiveness of the system in terms of average delay. It was discovered that CV with signal priority experienced less delay than non-CV for all priority direction scenarios studied up to a certain penetration level. When all directions and major street movements in both directions are allowed to request priority, the advantage for CVs was statistically significant up to 20% CV penetration. When priority was only allowed to be requested in the direction of highest flow, CVs experienced lower delay at a statistically significant level up to 40% CV pe...
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Transportation Research Record: Journal of the Transportation Research Board, 2019
The prediction of high-resolution hourly traffic volumes of a given roadway is essential for tran... more The prediction of high-resolution hourly traffic volumes of a given roadway is essential for transportation planning. Traditionally, automatic traffic recorders (ATR) are used to collect these hourly volume data. These large datasets are time-series data characterized by long-term temporal dependencies and missing values. Regarding the temporal dependencies, all roadways are characterized by seasonal variations that can be weekly, monthly or yearly, depending on the cause of the variation. Traditional time-series forecasting models perform poorly when they encounter missing data in the dataset. To address this limitation, robust, recurrent neural network (RNN)-based, multi-step-ahead forecasting models are developed for time-series in this study. The simple RNN, the gated recurrent unit (GRU) and the long short-term memory (LSTM) units are used to develop the forecasting models and evaluate their performance. Two approaches are used to address the missing value issue: masking and im...
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IEEE Transactions on Intelligent Transportation Systems, 2019
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Papers by Mashrur Chowdhury