Mohammad Miralinaghi

• Doctor of Philosophy
• Assistant Professor at Illinois Institute of Technology

Construction of refueling stations in a traffic network is a major step toward the promotion of hydrogen fuel vehicles in the metropolitan areas. This research provides a framework for the refueling demand uncertainty and the effect of travelers' deviation to refuel considerations in the network. First, considering the refueling demand uncertainty...

This study designs a robust multi-period tradable credit scheme (TCS) to incentivize travelers to shift from internal combustion engine vehicles (ICEVs) to zero-emissions vehicles (ZEVs) over a long-term planning horizon to reduce vehicular emissions. The need for robust design arises because of uncertainty in forecasting travel demand over a plann...

Construction projects are often associated with partial or full road closures, which result in user costs in terms of delay, discomfort, and inconvenience and community disruptions in terms of reduced business productivity. A number of research projects have addressed the problem of scheduling construction projects based on a variety of stakeholder...

This study investigates the impact of a tradable credit scheme (TCS) on managing morning commute congestion by considering commuters' value-of-time and schedule delay heterogeneities, and loss aversion behavior in purchasing credits. It illustrates that total value of traded credits and credit price approach zero as commuters' loss sensitivity incr...

One of the major causes of non-recurrent traffic congestion in urban areas is the implementation of transport infrastructure projects on city roads. The seeming ubiquity of work zones in cities causes road user frustration and safety hazards, and public relations problems for the transport agency. For this reason, transport agencies seek strategic...

This paper proposes a decision-making framework for a multiple-period planning of electric vehicle (EV) charging station development. In this proposed framework, transportation planners seek to implement a phased provision of electric charging stations as well as repurposing gas stations at selected locations. The developed framework is presented a...

Growth in urban population, travel, and motorization continue to cause an increased need for urban projects to expand road capacity. Unfortunately, these projects also cause travel delays, emissions, driver frustration, and other road user adversities. To alleviate these ills, road agencies often face two work zone design choices: close the road fu...

The rising demand for electric vehicles (EVs), motivated by their environmental benefits, is generating an increased need for EV charging infrastructure. Also, it has been recognized that the adequacy of such infrastructure helps promote EV use. Therefore, to facilitate EV adoption, governments seek guidance on continued investments in EV charging...

The widespread adoption of electric vehicles (EVs) can help attain economic and environmental sustainability by reducing oil dependency and greenhouse gas emissions. However, several issues need to be addressed before EVs can become a popular vehicle choice among the general public. A key issue is the perpetual reduction in EV battery capacity caus...

City infrastructure agencies routinely implement road projects that address various elements of urban infrastructure. The majority of these projects are short‐term in nature (e.g., utility repair), as they are completed in a few hours within 8:00 a.m. to 5:00 p.m. of a workday. The implementation of these projects during working hours, in spite of...

The smartphone has become nearly indispensable in people’s daily lives. Prevalent smartphone usage can be observed on various occasions, even during walking. However, pedestrians’ perception of their surroundings may decline because they are absorbed by using the smartphone. The behavior of pedestrians using smartphones while walking at transit sta...

Purpose Perception has been identified as the main cause underlying most autonomous vehicle related accidents. As the key technology in perception, deep learning (DL) based computer vision models are generally considered to be black boxes due to poor interpretability. These have exacerbated user distrust and further forestalled their widespread dep...

In the last decade, deep learning (DL) approaches have been used successfully in computer vision (CV) applications. However, DL-based CV models are generally considered to be black boxes due to their lack of interpretability. This black box behavior has exacerbated user distrust and therefore has prevented widespread deployment DLCV models in auton...

Operators of personal transport units (PTUs) face the challenge of intelligently balancing the locational demand and supply of PTUs in order to mitigate surpluses or deficits at PTU pickup stations. To accomplish this goal, operators need to be able to reliably predict the spatial distribution of PTU demand and to optimize the distributional alloca...

Road project scheduling and contract bundling are two separate concepts that profoundly influence project delivery consequences to key stakeholders. Therefore, agencies espouse initiatives for contract bundling (to reduce project costs) and project scheduling (to reduce user delay costs). Bundling combined with scheduling could potentially yield be...

Trade‐off analysis, one of the key tenets of multi‐objective optimization for the project selection problem in Transportation Asset Management (TAM), can help decision‐makers quantify and comprehend the consequences of different resource allocations in terms of the multiple measures of system performance. In analyzing TAM trade‐offs, it is vital to...

Trade-off analysis, one of the key tenets of multi-objective optimization for the project selection problem in transportation asset management (TAM), can help decision-makers quantify and comprehend the consequences of different resource allocations in terms of the multiple measures of system performance. In analyzing TAM trade-offs, it is vital to...

A key challenge facing cities of today is the persistent and growing urban congestion that has significant adverse effects on economic productivity, emissions, driver frustration, and quality of life. The concept of smart cities, which can revolutionize the management of metropolitan transportation operations and infrastructure, shows great promise...

Transportation sector is a major source of traffic congestion and greenhouse gas (GHG) emissions in urban areas. This study aims to design the system optimal (SO) traffic management policy, i.e. multi-period tradable credit scheme (MPTCS), for urban transportation infrastructure. Under this scheme, the central authority (CA) seeks to minimize the t...

Abstract There is a growing body of literature on optimal strategies for electric vehicle (EV) infrastructure deployment. As such, a comprehensive review of the literature is helpful to understand the current research trajectory. This talk focuses on two aspects related to charging infrastructure deployment. The first aspect is related to recent t...

6 This study focuses on a tradable credit scheme (TCS)-based multi-period equilibrium modeling 7 framework to address the planning problem of a central authority which seeks to minimize the 8 vehicular emissions in a traffic network over a planning horizon. In this context, the multi-period 9 TCS equilibrium conditions consist of traffic and market...

Study is designing the optimal locations for AFVs in a given transportation network considering intra-city trips. Intra-city trips not a concern because the AFV driving range is comparable to that of conventional vehicles. Model includes a staircase marginal cost function for the user costs and agency (construction) costs. The staircase function qu...

The growing recognition of negative impacts of vehicular emissions on global warming and public health is one of the main factors that led transportation policymakers to devise congestion/pollution mitigation strategies. However, in order to attain the best perception of potential results of implementing these policies, it would be essential to und...

In this paper, we consider the problem of locating refueling stations in a transportation network via mathematical programming. The proposed model is applicable for several alternative fuel types and is particularly suitable for hydrogen fuel. We assume that a central planner, a hydrogen manufacturer or a government agency, determines the locations...

This paper presents a cluster-based joint modeling approach to investigating heterogeneous travelers' behavior toward trip mode and departure time choices by considering those choices as a joint decision. First, a two-step clustering algorithm was applied to classify travelers into six distinct clusters to account for the heterogeneity in their dec...

Over the last decades, several approaches have been proposed in the literature to incorporate users' perceptions of travel costs, their bounded rationality, and risk-taking behaviors into network equilibrium modeling for traffic assignment problem. While theoretically advanced, these models often suffer from high complexity and computational cost a...

This study proposes the concept of multi-period tradable credit scheme (TCS) for a planning context. In it, travelers determine their actions in terms of consumption or sale of credits in the current period or transfer to future periods. In the first scheme, travelers can transfer credits to future periods without penalty. In the second scheme, the...

In this paper, a new traffic assignment model is proposed based on fuzzy equilibrium condition where perceived travel times of users are assumed to follow fuzzy values. First, a new method is proposed to determine membership function based on link congestion levels using probabilistic models. Then, a new index is presented based on percentage of us...

Construction of renewable energy refueling stations in a transportation network is a major step toward the promotion of alternative fuel vehicles among the customers. In this thesis, we aim to determine the locations of refueling stations in a transportation network through mathematical modeling. Two optimization models are established with a cent...