A review of communication, driver characteristics, and controls aspects of cooperative adaptive cruise control (CACC)
Cooperative adaptive cruise control (CACC) systems have the potential to increase traffic
throughput by allowing smaller headway between vehicles and moving vehicles safely in a …
throughput by allowing smaller headway between vehicles and moving vehicles safely in a …
Integration of structural health monitoring and intelligent transportation systems for bridge condition assessment: Current status and future direction
SM Khan, S Atamturktur, M Chowdhury… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Recent catastrophic bridge failures clearly indicate the urgent need for improving interval-
based bridge inspection procedures that are qualitative and subjective in nature. Structural …
based bridge inspection procedures that are qualitative and subjective in nature. Structural …
Real-time traffic state estimation with connected vehicles
A novel framework is developed in this paper, to increase the real-time roadway traffic
condition assessment accuracy, which integrates connected vehicle technology (CVT) with …
condition assessment accuracy, which integrates connected vehicle technology (CVT) with …
Optimizing the performance of vehicle-to-grid (V2G) enabled battery electric vehicles through a smart charge scheduling model
A smart charge scheduling model is presented for potential (1) vehicle-to-grid (V2G)
enabled battery electric vehicle (BEV) owners who are willing to participate in the grid …
enabled battery electric vehicle (BEV) owners who are willing to participate in the grid …
An optimization‐based traffic diversion model during construction closures
A Memarian, JM Rosenberger… - … ‐Aided Civil and …, 2019 - Wiley Online Library
During major highway construction, when lanes or entire highway sections must be
temporarily closed, traffic managers would like to inform motorists of alternative routes …
temporarily closed, traffic managers would like to inform motorists of alternative routes …
Developing a real-time freeway incident detection model using machine learning techniques
M Motamed - 2016 - repositories.lib.utexas.edu
Real-time incident detection on freeways plays an important part in any modern traffic
management operation by maximizing road system performance. The US Department of …
management operation by maximizing road system performance. The US Department of …
Energy consumption reduction strategies for plug-in hybrid electric vehicles with connected vehicle technology in urban areas
P Bhavsar, Y He, M Chowdhury… - Transportation …, 2014 - journals.sagepub.com
Automobile manufacturers have introduced plug-in hybrid electric vehicles (PHEVs) to
reduce fossil fuel consumption. This paper details three optimization strategies that can be …
reduce fossil fuel consumption. This paper details three optimization strategies that can be …
Accelerated incident detection across transportation networks using vehicle kinetics and support vector machine in cooperation with infrastructure agents
This study presents a framework for highway incident detection using vehicle kinetics, such
as speed profile and lane changing behaviour, as envisioned in the vehicle-infrastructure …
as speed profile and lane changing behaviour, as envisioned in the vehicle-infrastructure …
Estimation of annual average daily traffic (AADT) and missing hourly volume using artificial intelligence
S Islam - 2016 - search.proquest.com
Abstract Annual Average Daily Traffic (AADT) is one of the most important traffic parameters
used in transportation engineering analysis. Moreover, each state Department of …
used in transportation engineering analysis. Moreover, each state Department of …
Real time freeway incident detection
M Motamed, R Machemehl - 2014 - rosap.ntl.bts.gov
The US Department of Transportation (US-DOT) estimates that over half of all congestion
events are caused by highway incidents rather than by rush-hour traffic in big cities. Real …
events are caused by highway incidents rather than by rush-hour traffic in big cities. Real …