This part of the review aims to reduce the start-up burden of data collection and descriptive analytics for statistical modeling and route optimization of risk associated with motor …
L Xiao, M Wang, W Schakel, B van Arem - Transportation research part C …, 2018 - Elsevier
Abstract Cooperative Adaptive Cruise Control (CACC) systems have the potential to increase roadway capacity and mitigate traffic congestion thanks to the short following …
In this study, a new s-shaped three-parameter (S3) traffic flow model is proposed to represent the relationships between three fundamental variables (ie, flow, speed, and …
X Qu, J Zhang, S Wang - Transportation research part B: methodological, 2017 - Elsevier
In this research, we apply a new calibration approach to generate stochastic traffic flow fundamental diagrams. We first prove that the percentile based fundamental diagrams are …
X Qu, S Wang, J Zhang - Transportation Research Part B: Methodological, 2015 - Elsevier
The speed-density or flow-density relationship has been considered as the foundation of traffic flow theory. Existing single-regime models calibrated by the least square method …
C Xu, P Liu, W Wang, Z Li - Accident Analysis & Prevention, 2012 - Elsevier
The primary objective of this study is to divide freeway traffic flow into different states, and to evaluate the safety performance associated with each state. Using traffic flow data and crash …
Additional consumption of fuel in an intense traffic condition is inevitable. Excess fuel consumption may be avoided, if an optimal driving strategy is implemented subject to the …
Z Liu, C Lyu, Z Wang, S Wang, P Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To estimate the accurate fundamental relationship in traffic flow, this paper proposes a novel framework that extends classical fundamental diagram (FD) models to incorporate more …
J Zhao, P Liu, C Xu, J Bao - Accident Analysis & Prevention, 2021 - Elsevier
The primary objective of this study was to evaluate the impacts of traffic states on crash risk in the vicinities of Type A weaving segments. A deep convolutional embedded clustering …