<div class="section abstract"><div class="htmlview paragraph">This study evaluates the performance of alternative powertrains for Class 8 heavy-duty trucks under various real-world driving conditions, cargo loads, and operating ranges. Energy consumption, greenhouse gas emissions, Levelized Cost Driving (LCOD) were assessed different powertrain technologies in 2024, 2035, 2050, considering anticipated technological advancements. The analysis employed simulation models that...

Electric vehicle routing problems can be particularly complex when recharging must performed mid-route. In some applications such as the e-commerce parcel delivery truck routing, however, mid-route may not necessary because of constraints on capacities and maximum allowed time for delivery. this study, we develop a mixed-integer optimization model that exactly solves time-constrained capacitated problem, especially interest to vehicles. We compare our solution method with an existing...

Classification of vehicles into distinct groups is critical for a number applications including freight and commodity flow modeling, pavement management design, tolling, air quality monitoring, intelligent transportation systems. The main goal this paper to demonstrate how data from Light Detection Ranging (LiDAR) sensors could be leveraged distinguish between specific types truck trailers beyond what generally possible by the traditional vehicle classification (e.g., piezoelectric inductive...

Drone delivery, once thought of as fictitious, is becoming a reality with the efforts both forward-looking enterprises and supportive government policies. This emerging mode e-commerce delivery raises many concerns. One important concern energy efficiency direct drones compared conventional trucks at regional systems level. In this study, we develop apply methods to quantify impacts drone then assess these compare them truck delivery. To study problem, an optimization model that determines...

Rapid technological progress and innovation in the areas of vehicle connectivity, automation electrification, new modes shared alternative mobility, advanced transportation system demand supply management strategies, have motivated numerous questions studies regarding potential impact on key performance equity metrics. Several these development may or not a synergistic outcome overall benefits such as reduction congestion travel times. In this study, use an end-to-end modeling workflow...

One of the limitations agent-based simulations when modeling human behavior is lack appropriate input data to move from theoretical practical. The appropriateness ranges relevant individuals (granularity) identifying percentages a population that abide by certain characteristics or behavior. In some instances about these may be assumed placed under based on probability distribution within simulation. This paper briefs current research efforts pertaining use social media provide empirical...

Based on a three-month toll transaction data set that includes an anonymized unique identifier for each vehicle, this paper presents in-depth analysis of traffic volumes and tolls the I-66 High-Occupancy Toll (HOT) express lanes in Northern Virginia. The identifiers allow quantification how frequently vehicle travels through corridor. Vehicles observed selected time intervals are categorized into frequent non-frequent groups based total number trips made by vehicle. For morning commute,...

As the number of variables and entities included in a simulation model increase, it becomes more difficult to initialize due (a) increasing input that are required (b) difficulty finding, retrieving, assigning initial values variables, especially Human Social Cultural Behavior Modeling. result, initialization process is generally time consuming error prone which motivates need for semi-automated approaches wherever possible. In this paper, we propose approach initializing challenging...

For the past few years, several studies have focused on identifying a vehicle’s trajectory with smartphone data. However, these predominantly used GPS coordinate information for that purpose. Considering known limitations of GPS, such as connectivity issues at urban canyons and underpasses, low precision localization, high power consumption smartphones while is in use, this paper focuses developing alternative methods an intersection sensor data other than to minimize dependency. In...

We propose an efficient truck trip chaining method to model freight fleet electrification using agent-based simulation tool simulate passenger and tours. The estimated trajectories are used estimate vehicle energy consumption emissions. electricity demand suggests that vehicles have a significantly higher due adoption larger fleet. Therefore, the efforts would not affect grid, but its rates, along with electrification, cause issues.

In recent years, GPS data on truck movements have become much more available, leading researchers and practitioners to leverage these sources generate a wealth of information related OD flows. this study large amount used investigate characteristics freight transportation in particularly land uses vehicle classes. Aiming realize the flows Chicago Metropolitan Agency Planning (CMAP) region. The are primarily gain insight into nature urban goods movement distribution retail goods. main...

Modeling external and empty freight trips helps in better planning scheduling of transportation operations. This can lead to more effective route planning, load consolidation, overall optimization networks. In this study truck modeled using Freight Analysis Framework (FAF) Highway Performance Measurement System (HPMS) data with generating trip outputs from POLARIS agent-based simulation framework. The model then applied the Austin metropolitan area, Texas, USA. estimated single multi-unit...

Freight truck electrification for last-mile delivery is one of the most important research topics to reduce dependency on fossil fuel operations. Although a battery electric still has limitations daily operations with lower driving ranges and higher purchasing cost than conventional truck, electrified trucks total energy usage noise routes. In this paper, we propose fleet-mix multi-shift vehicle routing problem joint implementation fleet off-hour in urban e-commerce systems. Every assumed...

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Freight transportation is one of the largest contributors to sector's greenhouse gases (GHG) and noise pollution. The adverse effects industry are not distributed equally due large spatial disparities, with minority low-income populations more prone live near freight-related facilities truck routes. However, equity analysis focusing on freight transport limited since empirical requires costly data collection processes, in large-scale areas challenging. principal objective this study conduct...

Electric vehicle routing problems can be particularly complex when recharging must performed mid-route. In some applications such as the e-commerce parcel delivery truck routing, however, mid-route may not necessary because of constraints on capacities and maximum allowed time for delivery. this study, we develop a mixed-integer optimization model that exactly solves time-constrained capacitated problem, especially interest to vehicles. We compare our solution method with an existing...

The principal objective of this study is to evaluate the impact freight electrification in Atlanta - Chattanooga region. We use a set modeling tools estimate effect electrifying vehicles under different penetration rates and vehicle technologies improvement levels for entire An agent-based simulation tool integrating travel demand network operations simulations used model passenger truck tours. Trajectory information then obtain speed profiles, greenhouse gas (GHG) emissions electricity are...