Optimal deployment of autonomous vehicle lanes with endogenous market penetration
This paper develops a mathematical approach to optimize a time-dependent deployment
plan of autonomous vehicle (AV) lanes on a transportation network with heterogeneous …
plan of autonomous vehicle (AV) lanes on a transportation network with heterogeneous …
Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains
This paper proposes a methodology to generate a robust logistics plan that can mitigate
demand uncertainty in humanitarian relief supply chains. More specifically, we apply robust …
demand uncertainty in humanitarian relief supply chains. More specifically, we apply robust …
[HTML][HTML] Autonomous vehicles wheel wander: Structural impact on flexible pavements
K Georgouli, C Plati, A Loizos - Journal of Traffic and Transportation …, 2021 - Elsevier
Autonomous vehicles (AVs), including trucks, are already available and their adoption is
coming at a rapid pace. Despite the fact that this new transportation technology will travel on …
coming at a rapid pace. Despite the fact that this new transportation technology will travel on …
A review of sustainable network design for road networks
Abstract The Network Design Problem (NDP) is a strategical decision-making problem in
planning, designing, and managing road networks with the aim to make efficient use of …
planning, designing, and managing road networks with the aim to make efficient use of …
Assess the impacts of different autonomous trucks' lateral control modes on asphalt pavement performance
With ongoing massive investment in the field of autonomous vehicles, fully autonomous self-
driving vehicles are set to become a reality soon. Despite the benefits in traffic safety and …
driving vehicles are set to become a reality soon. Despite the benefits in traffic safety and …
End-to-end learning of user equilibrium with implicit neural networks
This paper intends to transform the transportation network equilibrium modeling paradigm
via an “end-to-end” framework that directly learns travel choice preferences and the …
via an “end-to-end” framework that directly learns travel choice preferences and the …
Bridge seismic retrofit program planning to maximize postearthquake transportation network capacity
The bridge network, as part of the critical civil infrastructure, is susceptible to natural and
man-made hazards. It is essential that the network retains its traffic-carrying capacity after a …
man-made hazards. It is essential that the network retains its traffic-carrying capacity after a …
Incorporating cost uncertainty and path dependence into treatment selection for pavement networks
This paper proposes a new probabilistic treatment path dependence (PTPD) model for
budget allocation within pavement network management problems. During the evaluation of …
budget allocation within pavement network management problems. During the evaluation of …
Cyber-physical system architecture for automating the mapping of truck loads to bridge behavior using computer vision in connected highway corridors
Bridges are critical components of highways ensuring traffic can efficiently travel over
obstructions such as bodies of water, valleys, and other roads. Ensuring bridges are in …
obstructions such as bodies of water, valleys, and other roads. Ensuring bridges are in …
Post-earthquake modelling of transportation networks
L Chang, AS Elnashai… - Structure and infrastructure …, 2012 - Taylor & Francis
Transportation networks are critical civil infrastructures susceptible to natural hazards such
as earthquakes. It is essential to understand and model the travel demand in emergency …
as earthquakes. It is essential to understand and model the travel demand in emergency …