Real‐time road traffic forecasting using regime‐switching space‐time models and adaptive LASSO
Smart transportation technologies require real‐time traffic prediction to be both fast and
scalable to full urban networks. We discuss a method that is able to meet this challenge …
scalable to full urban networks. We discuss a method that is able to meet this challenge …
Accounting for dynamic speed limit control in a stochastic traffic environment: A reinforcement learning approach
This paper proposes a novel dynamic speed limit control model accounting for uncertain
traffic demand and supply in a stochastic traffic network. First, a link based dynamic network …
traffic demand and supply in a stochastic traffic network. First, a link based dynamic network …
Nonlinear multivariate time–space threshold vector error correction model for short term traffic state prediction
T Ma, Z Zhou, B Abdulhai - Transportation Research Part B …, 2015 - Elsevier
Abstract We propose Time–Space Threshold Vector Error Correction (TS-TVEC) model for
short term (hourly) traffic state prediction. The theory and method of cointegration with error …
short term (hourly) traffic state prediction. The theory and method of cointegration with error …
Bottleneck and queuing analysis: Calibrating volume–delay functions of travel demand models
LF Huntsinger, NM Rouphail - Transportation research …, 2011 - journals.sagepub.com
This paper discusses the link performance functions used in travel demand models with a
focus on the strengths and weaknesses of the most commonly used volume–delay functions …
focus on the strengths and weaknesses of the most commonly used volume–delay functions …
Quantifying travel time variability at a single bottleneck based on stochastic capacity and demand distributions
Travel time reliability, an essential factor in traveler route and departure time decisions,
serves as an important quality of service measure for dynamic transportation systems. This …
serves as an important quality of service measure for dynamic transportation systems. This …
Applying problem-oriented and project-based learning in a transportation engineering course
M Li, A Faghri - Journal of professional issues in engineering …, 2016 - ascelibrary.org
A growing consensus in the literature on how to improve the quality of learning suggests that
adaptions to problem-based learning (PBL) methods could firstly improve learning …
adaptions to problem-based learning (PBL) methods could firstly improve learning …
Analysis of a stochastic switching model of freeway traffic incidents
This paper introduces a model for freeway traffic dynamics under stochastic capacity-
reducing incidents, and provides insights for freeway incident management by analyzing …
reducing incidents, and provides insights for freeway incident management by analyzing …
Identifying and classifying highway bottlenecks based on spatial and temporal variation of speed
R Jose, S Mitra - Journal of Transportation Engineering, Part A …, 2018 - ascelibrary.org
In this paper, we develop a novel approach to identify bottlenecks on highways using probe
data collected by commercial global positioning system (GPS) fleet management devices …
data collected by commercial global positioning system (GPS) fleet management devices …
Effect of on-ramp demand and flow distribution on capacity at merge bottleneck locations
Past research acknowledged the impact of ramp vehicles on the occurrence of a breakdown
event, but little has been done to quantify the effect of the ramp vehicles on the resulting …
event, but little has been done to quantify the effect of the ramp vehicles on the resulting …
Quantification of motorway capacity variation: influence of day type specific variation and capacity drop
Many road authorities work with static values for road capacities, while it has been proven
that capacity is not a fixed quantity. At the same time, there is an increasing need for …
that capacity is not a fixed quantity. At the same time, there is an increasing need for …