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Open access

ISSN: 2046-0430
CN: CN31-2204/U
e-ISSN: 2046-0449

An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

•Instant delivery operations are inherently characterized by dynamics and uncertainties.•Task buffering and dynamic batching strategies are proposed to tackle the demand uncertain and reduce the delivery...

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Factoring in temporal variations of public transit-based healthcare accessibility and equity

Access to healthcare services using public transportation (PT-based healthcare accessibility) is a crucial aspect in achieving healthcare equity as it affects individuals’ ability to receive healthcare....

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State space model detection of driving fatigue considering individual differences and time cumulative effect

Fatigue is an important cause of traffic crashes, and effective fatigue detection models can reduce these crashes. Research has found large differences in fatigued driving performance from driver to...

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Does the minimization of the average vehicle delay and the minimization of the average number of stops mean the same at the signalized intersections?

Signal timings at signalized intersections are frequently optimized by considering commonly used vehicle delay models. It is generally believed that reducing the average number of stops can also decrease...

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Design of flexible pavements through fuzzy inference system with genetic algorithm optimized rule base

In this paper, a novel method for the design of flexible pavements is elaborated. The method is based on fuzzy inference system with genetic algorithm (GA) aided optimized rule base. The model is founded...

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An approach of localizing MOVES to estimate emission factors of trucks

•Truck emission factors are important but difficult to estimate using current models.•Converting engine parameters to vehicle speed to address driving cycle differences.•Matching emission outcomes rather...

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Application of Conditional Deep Generative Networks (CGAN) in empirical bayes estimation of road crash risk and identifying crash hotspots

The conditional generative adversarial network (CGAN) is used in this paper for empirical Bayes (EB) analysis of road crash hotspots. EB is a well-known method for estimating the expected crash frequency...

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Do existing split failure metrics accurately reflect pedestrian operation at signalized intersections?

•An association between pedestrian delay and GOR or ROR5 was examined.•High-resolution data was used from the ATSPMs database.•There is very weak to no relationship between pedestrian delay and the...

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Contributing factors to right-turn crash severity at signalized intersections: An application of econometric modeling

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Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridor

In this study, we developed a real-time connected vehicle (CV) speed advisory application that uses public cloud services and tested it on a simulated signalized corridor for different roadway traffic...

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A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection

Multi-source track-to-track association (TTTA), which identifies trajectories from multiple sensors or data sources of the same dynamic vehicle, is an important data fusion technique widely applied...

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The influence of roadway characteristics and built environment on the extent of over-speeding: An exploration using mobile automated traffic camera data

Over-speeding is a pivotal factor in fatal traffic crashes globally, necessitating robust speed management strategies to augment road safety. In 2021, the National Highway Traffic Safety Administration...

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The economic burden of road traffic accidents and injuries: A small island perspective

The existing evidence on the economic burden of road accidents on GDP focused mainly on developed countries. This paper addresses an important gap in the literature by investigating into the impact...

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A weakly-supervised deep learning model for end-to-end detection of airfield pavement distress

Accurate and timely surveying of airfield pavement distress is crucial for cost-effective airport maintenance management. Deep learning (DL) approaches, leveraging advancements in computer science and...

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Examining causal factors of traffic conflicts at intersections using vehicle trajectory data

Conflict severity is the outcome of complex interactions between roadway and environmental characteristics, and vehicle motion. Understanding how and to what extent a vehicle is influenced by roadway...

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Discovering latent themes in aviation safety reports using text mining and network analytics

Aviation accidents, referring to unexpected and undesirable events involving aircraft, often cause great damage to property and human life. Learning from historical accidents is pivotal for improving...

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An empirical study on the stochastic long-term travel demands of a large-scale metro network

The widely-existed uncertainty of origin–destination (OD) demand in transportation networks has attracted extensive attention. Most characterizations or modeling of stochastic OD demands in networks...

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Data-driven statewide prioritization of corridors for signal retiming projects

While the introduction of emerging technologies has substantially improved the way traffic signals are operated, most agencies still rely on the traditional approach of retiming, which is typically...

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Quantifying the impacts of right-turn-on-red, exclusive turn lanes and pedestrian movements on the efficiency of urban transportation networks

Previous studies demonstrated that restricting left turning movements can enhance transportation network efficiency. However, this strategy can lead to significant increases in the volume of right-turn...

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Predictive models for road traffic sign: Retroreflectivity status, retroreflectivity coefficient, and lifespan

This study addresses the critical safety issue of declining retroreflectivity values of road traffic signs, which can lead to unsafe driving conditions, especially at night. The paper aims to predict...

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Measurement of public acceptance of TDM policies using combination of public policy acceptance (PPA) and value belief norm (VBN) approach

One strategy to overcome the problem of imbalance between the demand and supply of road transportation that causes congestion is to apply transport demand management (TDM). TDM is a series of transportation...

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Efficient implementation of a wavelet neural network model for short-term traffic flow prediction: Sensitivity analysis

•Prediction of traffic flow under weekdays and weekends.•Wavelet neural networks are found to provide the best fit.•DWT provides greater flexibility to understand the behavior of traffic in the time-frequency...

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Vehicle carbon emission estimation for urban traffic based on sparse trajectory data

•Proposed a vehicle carbon emission estimation method for sparse trajectory data.•Sparse trajectory data includes data with different sampling frequencies.•Proposed a trajectory reconstruction method...

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Neural network surrogate models for aerodynamic analysis in truck platoons: Implications on autonomous freight delivery

•Proposed a generalized surrogate model for different truck platoon configurations.•Fuel saving is up to 10% autonomous truck platooning.•Compared autonomous truck delivery vs. conventional trucking...

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Mechanical response and numerical simulation of liquid soil abutment backfill

•It is proposed to backfill the abutment back of the underpass of the airport with liquid soil, and its specific mix proportion is given.•The three-dimensional finite element model of the underpass...

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