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Publications (60)
Water level prediction is an essential task in inland water transportation and infrastructure operation. In recent years, the level of uncertainty in the water level variation has increased significantly due to the climate change. Therefore, the need to develop more robust and accurate models for multi-station daily water level prediction along the...
The complexity and changefulness of inland navigation environment in space and time makes it hard to guarantee the applicability and accuracy of existing ship speed models. In this paper, a novel method for inland ship speed modelling under complex and changeful navigation environment is proposed. Firstly, an unsupervised machine learning algorithm...
The information about ships’ fuel consumption is critical for condition monitoring, navigation planning, energy management and intelligent decision-making. Detailed analysis, modelling and optimisation of fuel consumption can provide great support for maritime management and operation and are of significance to water transportation.
In this study,...
Modeling and analysis of the statistical patterns of vessel interarrival time is a crucial research area for port planning and is also the basis of port capacity analysis and simulation-related works using theoretical queuing methods. This study seeks to identify probabilistic models of vessel interarrival time for a single berth. Two generalized q...
Vessel traffic flow (VTF) is crucial for navigation safety, navigation efficiency, and port planning. In this paper, we analyze the structure and behavior of VTF in terms of both static and dynamic aspects according to the characteristics of ship motion. Moreover, the microscopic and macroscopic characteristics of VTF are analyzed according to the...
Traffic control and safety hardware such as traffic signs, lighting, signals, pavement markings, guardrails, barriers, and crash cushions form an important and inseparable part of highway infrastructure affecting safety performance. Significant progress has been made in recent decades to develop safety performance functions and crash modification f...
Understanding the characteristics of vessel traffic flow is crucial in maintaining navigation safety, efficiency, and overall waterway transportation management. Factors influencing vessel traffic flow possess diverse features such as hierarchy, uncertainty, nonlinearity, complexity, and interdependency. To reveal the impact mechanism of the factor...
Container shipments of Port of Tianjin, China (2009–2014).
S1 Table summaries number of container ships and container throughputs and container ship average loads of Port of Tianjin, china for period 2009–2014.
(DOCX)
This paper introduces a new double standard model (DSM), along with a genetic algorithm (GA), for solving the emergency medical service (EMS) vehicle allocation problem that ensures acceptable service reliability with limited vehicle resources. Without loss of generality, the model is formulated to address emergency services to human injuries cause...
This article contains processed data relevant to research conducted in “A double standard model for allocating limited emergency medical service vehicle resources ensuring service reliability” [1]. The crash counts were sorted out from comprehensive crash records of over one thousand major signalized intersections in the city of Chicago from 2004 t...
Developing adequate ship domain models may significantly benefit vessel navigation safety. In essence, navigation safety is collectively affected by the navigable waterway condition, the size and shape of the ship, and operators' skills. The existing ship domains mainly use constant values for the model input parameters, making them incapable of ha...
Intersection signal timing optimization is expected to affect both traffic mobility and safety. However, in safety impacts analysis, the existing studies mainly focus on estimating changes in vehicle crashes without addressing the influence of pedestrian related crashes. This study aims to simultaneously assess the overall impacts of vehicle and pe...
Red light running at signalized intersections is a major safety concern in the United States. Statistics show that approximately 45 percent of crashes at intersections caused by red-light running result in severe injuries and fatalities, while only approximately 30 percent of all other types of intersection crashes cause injuries or fatalities. Ove...
Ensuring safety of the users, while improving traffic mobility, is the primary objective of a transportation agency managing a highway system within the constraints of budget and resources. This calls for enhanced analytical methods, models, and tools for highway safety improvements. The analytical tools dealing with traffic and safety hardware inc...
Transportation planning is multidimensional, complex, and dynamic in nature. The decision-making process often involves multiple stakeholders with conflicting preferences. Effective decision outcomes can only be reached by explicitly addressing such conflicts. Over the last several decades, optimization techniques have been used for project-selecti...
This research aims to determine the reasonable scale of toll highways in China by considering factors including effects of non-debt investments; agency costs of construction, maintenance, and system operations; user travel time costs; debt repayment; and toll revenue generation. A bilevel optimization model is proposed, in which the lower-level opt...
This study examines mode choice behavior for intercity business and personal/recreational trips. It uses multinomial logit and nested logit methods to analyze revealed preference data provided by travelers along the Yong-Tai-Wen multimodal corridor in Zhejiang, China. Income levels are found to be positively correlated with mode share increases for...
Emergency medical service (EMS) providers participating in vehicle crash-induced incident management aim to offer as wide and efficient coverage as possible to meet the demand for incident responses effectively; however, the design and provision of efficient and cost-effective services are tough issues faced by emergency management authorities. Thi...
A new methodology is introduced for project selection that explicitly addresses issues of achieving maximized overall project benefits by selecting a subcollection of candidate projects for possible implementation at a given budget level while controlling the total risk of the expected project benefits within an acceptable lower bound. The covarian...
This study introduces a new methodology for signal timing optimization that is carried out by adjusting green splits of a.m. peak, p.m. peak, and rest of the day timing plans for each signalized intersection in the urban street network without changing the existing cycle length and signal coordination to minimize total vehicle and pedestrian delays...
Trade-off analysis, one of the key elements of transportation asset management (TAM), helps decision makers to not only quantify how different resource allocations affect system performance but also investigate the trade-off relationships between cost and performance measures and between different performance measures. In the fast-growing field of...
This study introduces a new methodology for signal timing optimization that is carried out by adjusting green splits of a.m. peak, p.m. peak, and rest of the day timing plans for each signalized intersection in the urban street network without changing the existing cycle length and signal coordination to minimize total vehicle and pedestrian delays...
A new methodology is introduced for project selection that explicitly addresses issues of achieving maximized overall project benefits by selecting a subcollection of candidate projects for possible implementation at a given budget level while controlling the total risk of the expected project benefits within an acceptable lower bound. The covarian...
This paper introduces an Empirical Bayesian (EB) before-after analysis method for assessing the effects of highway shoulder paving on safety performance. In the first step, multi-year data on field-observed crash frequencies for highway segments with pavement resurfacing and shoulder paving (Type I treatment) and highway segments with pavement resu...
A new methodology is proposed to address issues of networkwide effects of highway projects and interdependencies of jointly implementing multiple projects to support optimal investment decisions. Specifically, a multicommodity minimum cost network (MMCN) model is introduced to help obtain link-based traffic volumes, vehicle compositions, and speeds...
This paper applies a binary logistic analysis method for assessing impacts of modal shifts from automobiles, normal buses, and nonmotorized vehicles caused by bus rapid transit (BRT) deployments using survey data collected on six representative BRT corridors in China. The traveler's demographic and socioeconomic attributes (gender, age) and trip-re...
A new methodology for transportation project evaluation and selection explicitly addresses issues of networkwide impacts of a project and interdependencies of multiple projects. The methodology consists of two key elements: a multicommodity minimum-cost network model to estimate networkwide benefits of a single project or multiple interdependent pr...
Engineers continually seek effective techniques for preserving highway infrastructure. Using data from the specific pavement study#5 of the long-term pavement performance (LTPP) programme's western region, this article evaluated the performance of eight flexible pavement rehabilitation treatments. Aggregate and disaggregate post-treatment performan...
This paper introduces and applies an Empirical Bayesian (EB) analysis methodology for assessing highway shoulder paving impacts using Illinois data. Adding new outside paved shoulders is found to be more effective than widening existing paved shoulders and repaving the same width of paved shoulders. Shoulder paving is most effective for multilane h...
Most of current intersection vehicle crash models are calibrated using global regression analysis methods that are often inaccurate in crash predictions as some localized crash contributing effects are not explicitly addressed. This paper employs the Geographically-Weighted Regression (GWR) technique to calibrate statistical models for predicting i...
This paper presents a methodology for a benefit cost analysis of improving the conditions of highway segment safety hardware over its life cycle. In the framework, a safety index is established for assessing the risks of vehicle crashes on a highway segment. These risks are associated with the safety-related attributes of the segment, which include...
Park-and-ride facilities are of major importance to the attractiveness and operation of modern transit systems because travelers tend to prefer public transportation when they are able to combine the use of these facilities with their private vehicles. Among those elements examined when developing/operating a park-and-ride facility is the pricing p...
Purpose
The paper aims to review current practices of road safety audits worldwide, investigate the perceptions of experts on highway work zone safety in the USA and issues of adopting work zone safety audits in the country, and propose a framework for developing guidelines for implementing work zone safety audits for safety improvements.
Design/m...
A heuristic approach is developed for systemwide highway project selection. It can assess changes in total project benefits using different project implementation options under budget uncertainty and identify the best option to achieve maximized total benefits. The proposed approach consists of a stochastic model formulated as the zero/one integer...
A methodology is proposed for project-level life-cycle cost analysis of highway intersection safety hardware improvements. It incorporates a disaggregated risk-based approach for computing the safety index that could be used to assess intersection vehicle crash risks affected by the conditions of intersection safety hardware such as signs, signals,...
Transportation management policies and practices are currently experiencing evolving trends such as funding limitations, aging facilities, greater travel demand, increased number of visible stakeholders, and higher user expectations. As a result, transportation agencies currently grapple with how to best incorporate a wide range of performance crit...
One of the key steps in the highway investment decision-making process is to conduct project evaluation. The existing project level life-cycle cost analysis approaches for estimating project benefits maintain limited capacity of probabilistic risk assessments of input factors such as highway agency costs, traffic growth rates, and discount rates. H...
Of the overall benefits of a highway project, only a portion may be quantifiable in dollar values and the remaining in nondollar values. To facilitate project comparisons, both portions of project benefits need to be converted into commensurable values. Such conversion can be achieved by using multicriteria value functions that can be derived throu...
One of the key tasks in highway investment decision making is to conduct project selection. The existing optimization models for project selection concerning an entire highway system do not address the issue of budget uncertainty, limiting their ability to produce truly optimal results. This paper presents a stochastic optimization model that expli...
This paper introduces a new methodology for highway investment decision making under uncertainty that uses Shackle's model for uncertainty-based project benefit analysis and system optimization for project selection. Shackle's model overcomes limitations of the risk-based life-cycle cost analysis approach by using degree of surprise as a measure of...
A methodology is proposed for life-cycle cost analysis of highway intersection safety hardware improvements. It incorporates a disaggregated risk-based approach for safety index computation that could assess the impacts of intersection safety hardware conditions on vehicle crash risks. It then uses the concept of consumer surplus to compute the max...
One of the key steps in the highway investment decision-making process is to conduct project evaluation. The existing project level life-cycle cost analysis approaches for estimating project benefits maintain limited capacity of probabilistic risk assessments of input factors such as highway agency costs, traffic growth rates, and discount rates. H...
This paper introduces binary recursive partitioning (BRP) as a method for estimating bridge deck deterioration and treats it as a classification and decision problem. The proposed BRP method is applied to the Indiana bridge inventory database containing 25 years of detailed information on approximately 5,500 bridges on state-maintained highways. Cl...
This paper presents a case study for optimizing decisions on the best combination of preventive maintenance (PM) treatments and timings to be applied in the resurfacing life-cycle (interval between resurfacing events), for a given highway pavement section. In the optimization procedure, the paper incorporates key infrastructure management concepts...
Federal, state, and local transportation agencies are faced by issues of steady increase in travel demand, deterioration of physical asset conditions, public demand for government accountability, and pressure of constrained budget. Responding to these challenges, transportation agencies have started to advance asset management concepts that cover a...
This paper introduces application of Shackle's model for highway project evaluation under uncertainty. Shackle's model overcomes limitations of existing risk-based approaches for project evaluation by: (1) using degree of surprise as a measure of uncertainty instead of probability distribution, (2) introducing a priority index to jointly evaluate e...
Bridge managers have a duty to monitor and update the costs of bridge preservation activities and to implement cost-effective actions that are in the best interests of taxpayers. This paper presents details of replacement cost modeling for each bridge component (superstructure, substructure, approach, and other costs) for bridges with concrete slab...
Bridge managers have a duty to monitor and update the costs of bridge preservation activities and to implement cost-effective actions that are in the best interests of taxpayers. This paper presents details of replacement cost modeling for each bridge component (superstructure, substructure, approach, and other costs) for bridges with concrete slab...
The Transportation Science and Logistics (TSL) Section Dissertation Prize Competition is the oldest and most prestigious competition for doctoral dissertations in the transportation science and logistics area. The 2004 TSL dissertation prize committee consisted of Professor Ravi Ahuja (University of Florida), Professor Amy Cohn (Michigan University...
A methodology is proposed for multicriteria decision making involving trade-off analyses between candidate projects as well as project selection and programming in highway asset management under certainty, risk, and uncertainty. A set of system goals in highway asset management structure was first identified, and relative weights of the system goal...
Transportation has been one of the essential areas within civil engineering since its early days. In commemoration of the 150th anniversary of ASCE, this paper presents a review of developments in research, education, and practice in transportation engineer-ing. The review is based primarily on the issues of the Journal of Transportation Engineerin...
This paper describes the concept of a marginal cost method for quantitatively assessing the relative share of load and non-load factors for pavement routine maintenance expenditures. A set of statistical models has been formulated using an aggregate pavement performance approach to relate pavement routine maintenance expenditures with load and vari...
Conclusion 66.1 Introduction The United States has nearly 4 million miles of highways and streets and more than 550,000 bridges of at least a 20-ft span. Constituting the largest government-owned asset in the country, highways are associated with annual investment levels exceeding $1 trillion [FHWA and AASHTO, 1996]. Transportation agencies at all...
A marginal cost method for quantitative assessment of the load- and non-load-related shares of pavement rehabilitation expenditures is described. A set of ordinary least-squares models was formulated by an aggregate approach. The study revealed that the shares of pavement rehabilitation expenditures attributable to load factors depend on pavement t...
