[HTML][HTML] Machine learning applied to road safety modeling: A systematic literature review
Road safety modeling is a valuable strategy for promoting safe mobility, enabling the
development of crash prediction models (CPM) and the investigation of factors contributing …
development of crash prediction models (CPM) and the investigation of factors contributing …
Modeling severity of motorcycle crashes with Dirichlet process priors
Motorcycles are becoming increasingly popular, especially in developing countries. This
increasing exposure, combined with the fact that they most likely result in injury crashes …
increasing exposure, combined with the fact that they most likely result in injury crashes …
[HTML][HTML] Predicting road crash severity using classifier models and crash hotspots
The rapid increase in traffic volume on urban roads, over time, has altered the global traffic
scenario. Additionally, it has increased the number of road crashes, some of which are …
scenario. Additionally, it has increased the number of road crashes, some of which are …
Applying hierarchical logistic models to compare urban and rural roadway modeling of severity of rear-end vehicular crashes
T Champahom, S Jomnonkwao… - Accident Analysis & …, 2020 - Elsevier
A rear-end crash is a widely studied type of road accident. The road area at the crash scene
is a factor that significantly affects the crash severity from rear-end collisions. These road …
is a factor that significantly affects the crash severity from rear-end collisions. These road …
Quantifying the safety benefits of transit signal priority using full Bayes before–after study
Transit signal priority (TSP) is a strategy that prioritizes the movement of transit vehicles
through a signalized intersection to minimize transit delay and improve travel time reliability …
through a signalized intersection to minimize transit delay and improve travel time reliability …
[HTML][HTML] Developing Florida-specific mobility enhancement factors (MEFs) and crash modification factors (CMFs) for TSM&O strategies
Transportation Systems Management and Operations (TSM&O) focus on improving the
safety and operational performance of the transportation network by integrating proven …
safety and operational performance of the transportation network by integrating proven …
[HTML][HTML] Travel Time Reliability Analysis Considering Bus Bunching: A Case Study in Xi'an, China
Y Zhang, H Xu, QC Lu, X Fan - Sustainability, 2022 - mdpi.com
Bus bunching occurring at stops has an unstable impact on bus travel time. In order to
evaluate urban bus travel time effectively, the travel time reliability (TTR) addressing bus …
evaluate urban bus travel time effectively, the travel time reliability (TTR) addressing bus …
Assessment of factors associated with travel time reliability and prediction: an empirical analysis using probabilistic reasoning approach
Significant efforts have been made in modeling a travel time distribution and establishing
measures of travel time reliability (TTR). However, the literature on evaluating the factors …
measures of travel time reliability (TTR). However, the literature on evaluating the factors …
Analyzing pedestrian fatality risk in a developing country: empirical assessment with insights from Dar es Salaam, Tanzania
Pedestrian safety is a critical societal concern, especially in low-income countries, as
pedestrian crashes increase worldwide. Among other road users, pedestrians are most …
pedestrian crashes increase worldwide. Among other road users, pedestrians are most …
[PDF][PDF] 二级公路交通流特征对事故严重程度的影响
戢晓峰， 吴亚欣， 袁华智， 杨文臣， 胡澄宇， 陆欢 - 中国公路学报, 2020 - researchgate.net
为有效管控二级公路的交通安全, 定量刻画二级公路事故严重程度与交通流特征之间的关系,
以元(谋)-双(柏) 公路为研究对象, 基于长期监测的交通事故数据及交通流数据 …
以元(谋)-双(柏) 公路为研究对象, 基于长期监测的交通事故数据及交通流数据 …