[HTML][HTML] Estimation of annual average daily traffic (AADT) data for low-volume roads: a systematic literature review and meta-analysis

E Baffoe-Twum, E Asa, B Awuku - Emerald Open Research, 2023 - emerald.com
Background: The annual average daily traffic (AADT) data from road segments are critical for
roadway projects, especially with the decision-making processes about operations, travel …

Kriging method application and traffic behavior profiles from local radar network database: A proposal to support traffic solutions and air pollution control strategies

JA Pinto, P Kumar, MF Alonso, WL Andreao… - Sustainable Cities and …, 2020 - Elsevier
Vehicles are commonly the main source of outdoor air pollution in urban areas and
vehicular emission inventory is a tool to identify the emissions contribution from mobile …

An empirical Bayes approach to quantifying the impact of transportation network companies (TNCs) operations on travel demand

Y Choi, S Guhathakurta, A Pande - … Research Part A: Policy and Practice, 2022 - Elsevier
Assessing the impacts of new and disruptive technologies on the transportation system is
crucial for planners and policymakers. This study offers an innovative method for estimating …

Statistical analysis of area‐wide alcohol‐related driving crashes: a spatial econometric approach

TU Saeed, R Nateghi, T Hall… - Geographical …, 2020 - Wiley Online Library
The article analyzes area‐wide alcohol‐related driving crash rates, with an emphasis on
neighborhood effects, edge effects, and spatial effects arising from shared roadways that …

[HTML][HTML] Transit ridership modeling at the bus stop level: Comparison of approaches focusing on count and spatially dependent data

SF Marques, CS Pitombo - Applied spatial analysis and policy, 2023 - Springer
Boarding and alighting modeling at the bus stop level is an important tool for operational
planning of public transport systems, in addition to contributing to transit-oriented …

Ridership estimation along bus transit lines based on kriging: Comparative analysis between network and Euclidean distances

SF Marques, CS Pitombo - Journal of Geovisualization and Spatial …, 2021 - Springer
The classical travel demand modelling overlooks an important factor normally found in the
interest variables: spatial autocorrelation. Recent research recognises and includes this …

A Modified Inverse Distance Weighting Method for Interpolation in Open Public Places Based on Wi‐Fi Probe Data

D Wang, L Li, C Hu, Q Li, X Chen… - Journal of Advanced …, 2019 - Wiley Online Library
Urban open places with a public service function (eg, urban parks) are likely to be populated
in peak hours and during public events. To mitigate the risk of overcrowding and even …

A spatial analysis of risk factors associated with road collisions in Ciudad Juarez, Mexico and using a geographically weighted regression approach

V Hernández - Applied Geography, 2024 - Elsevier
This study examined changes in the spatial patterns and determinants of road collisions in
Ciudad Juarez, Mexico in 2019 and 2020, encompassing the initial period of COVID-19 …

Spatial analysis of the possible first Serbian Conurbation

A Valjarević, D Filipović, D Živković, N Ristić… - Applied Spatial Analysis …, 2021 - Springer
After the breakup of the former Republic of Yugoslavia, the number of inhabitants in newly
formed state of Serbia has been in constant decrease. On the other hand, the number of …

Car‐following trajectory data imputation with adversarial convolutional neural network

D Zhao, Y Zhang, W Wang, X Hua… - IET Intelligent Transport …, 2023 - Wiley Online Library
Missing values in the vehicle trajectory data undermine its application in traffic modelling
and simulation. Traditional methods for missing data imputation rely on neighbor points of …