Identification of dynamic traffic crash risk for cross-area freeways based on statistical and machine learning methods

Y Yang, K He, Y Wang, Z Yuan, Y Yin, M Guo - Physica A: Statistical …, 2022 - Elsevier
Freeway traffic safety should be given great attention due to the frequent and serious
consequences that arise from freeway traffic crashes. With the possibility of obtaining high …

Dynamic data-driven local traffic state estimation and prediction

C Antoniou, HN Koutsopoulos, G Yannis - Transportation Research Part C …, 2013 - Elsevier
Traffic state prediction is a key problem with considerable implications in modern traffic
management. Traffic flow theory has provided significant resources, including models based …

A review on level of service analysis of urban streets

PK Bhuyan, MS Nayak - Transport Reviews, 2013 - Taylor & Francis
The paper presents a classification and analysis of the results achieved using various tools
for the estimation of level of service (LOS) of urban streets. The basic premise of urban …

Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data

K Zhang, D Sun, S Shen, Y Zhu - Journal of Transport and Land Use, 2017 - JSTOR
With the development of in-vehicle data collection devices, GPS trajectory has become a
priority source to identify traffic congestion and understand the operational states of road …

Spatiotemporal analysis of bluetooth data: Application to a large urban network

PA Laharotte, R Billot, E Come… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
The emergence of new technologies allows better monitoring of traffic conditions and
understanding of urban network dynamics. Bluetooth technology is becoming widespread …

Classifying the traffic state of urban expressways: A machine-learning approach

Z Cheng, W Wang, J Lu, X Xing - … Research Part A: Policy and Practice, 2020 - Elsevier
The classification of the urban traffic state and its application is an important part of
intelligent transportation systems (ITS), which can not only help traffic managers grasp the …

[HTML][HTML] Traffic congestion prediction based on Hidden Markov Models and contrast measure

JF Zaki, A Ali-Eldin, SE Hussein, SF Saraya… - Ain Shams Engineering …, 2020 - Elsevier
Traffic congestion is an important socio-economic problem that swelled in the last few
decades. It affects the social mobility of people, length of trips, quality of life, and the …

The impact of the COVID-19 pandemic on OD flow and airport networks in the origin country and in Northeast Asia

PF Kuo, IGB Putra, FA Setiawan, TH Wen… - Journal of Air Transport …, 2022 - Elsevier
The ongoing COVID-19 pandemic has posed a global threat to human health. In order to
prevent the spread of this virus, many countries have imposed travel restrictions. This difficult …

Analyzing traffic patterns on street segments based on GPS data using R

E Necula - Transportation Research Procedia, 2015 - Elsevier
Nowadays GPS enabled devices are widely spread between drivers making the collection of
GPS data more accessible. So there is an opportunity to infer useful patterns and trends. In …

Processes and events in the center: a taxi trajectory-based approach to detecting traffic congestion and analyzing its causes

Y He, B Hofer, Y Sheng, Y Yin, H Lin - International Journal of …, 2023 - Taylor & Francis
ABSTRACT A novel approach is introduced for the detection of the location and direction of
traffic congestion using GPS data from taxis. This approach uses a dynamic model that …