Micro-level safety risk assessment model for a two-lane heterogeneous traffic environment in a developing country: A comparative crash probability modeling approach.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of safety research"
DOI: 10.1016/j.jsr.2019.03.008
Abstract: INTRODUCTION There have been a number of studies that have led to the development of safety risk assessment models to quantify the probability of crash frequencies on roadway facilities (both at micro- and macro-levels), over… read more here.
Keywords: crash; risk; heterogeneous traffic; micro level ... See more keywords
Investigating spatiotemporal traffic dynamics toward conflict risk levels using trajectory data in heterogeneous traffic conditions.
Sign Up to like & getrecommendations! Published in 2025 at "Traffic injury prevention"
DOI: 10.1080/15389588.2025.2541269
Abstract: OBJECTIVE This study aimed to identify dynamic spatiotemporal traffic factors influencing conflict risk levels on National Highways under heterogeneous traffic conditions in India. The research addresses gaps by capturing vehicle interactions using high-resolution UAV-based trajectory… read more here.
Keywords: risk levels; risk; conflict risk; heterogeneous traffic ... See more keywords
H-CTM for simulating non-lane-based heterogeneous traffic*
Sign Up to like & getrecommendations! Published in 2019 at "Transportation Letters"
DOI: 10.1080/19427867.2017.1373439
Abstract: Abstract This paper developed a first-order deterministic macroscopic model H-CTM (heterogeneous cell transmission model) based on basic cell transmission model (CTM). The methodological calibration of the model considers the aggregate behavior of heterogeneous traffic under… read more here.
Keywords: lane based; traffic; non lane; heterogeneous traffic ... See more keywords
Effect of vehicular lateral gap models on heterogeneous traffic stream behavior
Sign Up to like & getrecommendations! Published in 2019 at "Transportation Letters"
DOI: 10.1080/19427867.2019.1611709
Abstract: ABSTRACT Vehicles moving in a heterogeneous traffic stream with no-lane-discipline maintain certain lateral gaps with the adjacent vehicles/objects. These gaps vary due to the static and dynamic behavior of vehicles, and the stochastic nature of… read more here.
Keywords: traffic; gap models; lateral gap; heterogeneous traffic ... See more keywords
Heterogeneous traffic flow modeling with drivers’ timid and aggressive characteristics
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Physics B"
DOI: 10.1088/1674-1056/abf7ae
Abstract: The driver’s characteristics (e.g., timid and aggressive) has been proven to greatly affect the traffic flow performance, whereas the underlying assumption in most of the existing studies is that all drivers are homogeneous. In the… read more here.
Keywords: timid aggressive; traffic; traffic flow; heterogeneous traffic ... See more keywords
Heterogeneous Traffic Offloading in Space-Air-Ground Integrated Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3135464
Abstract: While the 5-th generation of communication networks (5G) is taking its first deployment steps, high doubts still concern the fulfilment of the stringent requirements of its slices. To meet these complex requirements, robust access networks… read more here.
Keywords: traffic; heterogeneous traffic; air; link ... See more keywords
Lane-Level Heterogeneous Traffic Flow Prediction: A Spatiotemporal Attention-Based Encoder–Decoder Model
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2022.3224218
Abstract: Urban road traffic flow prediction is the key basis for the development of intelligent transportation systems. Lane-level heterogeneous traffic flow prediction will become a new and important challenge in the future development of intelligent transportation.… read more here.
Keywords: flow prediction; traffic; heterogeneous traffic; attention ... See more keywords
Pedestrian Trajectory Prediction in Heterogeneous Traffic Using Pose Keypoints-Based Convolutional Encoder-Decoder Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2020.3013254
Abstract: Future pedestrian trajectory prediction offers great prospects for many practical applications. Most existing methods focus on social interaction among pedestrians but ignore the factors that heterogeneous traffic objects (cars, dogs, bicycles, motorcycles, etc.) have significant… read more here.
Keywords: prediction; pedestrian trajectory; pose keypoints; heterogeneous traffic ... See more keywords
Cyclist Social Force Model at Unsignalized Intersections With Heterogeneous Traffic
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2016.2597744
Abstract: Cycling is a typical green traffic mode, and takes a growing part of urban traffic volume. Yet limited cyclist behavior models shed light on cases at unsignalized intersections with heterogeneous traffic, where bicycle behavior is… read more here.
Keywords: traffic; unsignalized intersections; intersections heterogeneous; heterogeneous traffic ... See more keywords
A Two-Step Scheduling Scheme for Age Optimization in Industrial Wireless Networks With Heterogeneous Traffic
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2025.3540480
Abstract: Age of Information (AoI) is a popular information freshness metric and is widely used to evaluate the real-time performance of industrial wireless networks (IWNs). In IWNs with heterogeneous traffic, there may be differentiated real-time requirements.… read more here.
Keywords: two step; wireless networks; industrial wireless; heterogeneous traffic ... See more keywords
Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3168879
Abstract: Traffic prediction methods on a single-source data have achieved excellent results in recent years, especially the Graph Convolutional Networks (GCN) based models with spatio-temporal dependency. In reality, various modes of urban transportation operate simultaneously. They… read more here.
Keywords: traffic prediction; convolutional networks; traffic; prediction ... See more keywords