Multiclass traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles
Compared to existing human-driven vehicles (HDVs), connected and autonomous vehicles
(CAVs) offer users the potential for reduced value of time, enhanced quality of travel …
(CAVs) offer users the potential for reduced value of time, enhanced quality of travel …
Optimal toll design problems under mixed traffic flow of human-driven vehicles and connected and autonomous vehicles
Compared to human-driven vehicles (HDVs), connected and autonomous vehicles (CAVs)
can drive closer to each other to enhance link capacity. Thereby, they have great potential to …
can drive closer to each other to enhance link capacity. Thereby, they have great potential to …
A hybrid large neighborhood search for the static multi-vehicle bike-repositioning problem
This paper addresses the multi-vehicle bike-repositioning problem, a pick-up and delivery
vehicle routing problem that arises in connection with bike-sharing systems. Bike-sharing is …
vehicle routing problem that arises in connection with bike-sharing systems. Bike-sharing is …
Large-scale multimodal transportation network models and algorithms-Part I: The combined mode split and traffic assignment problem
Modelling the combined mode split and traffic assignment (CMSTA) problem is essential to
capture the travelers' behaviors and predict the flow distribution in multimodal transportation …
capture the travelers' behaviors and predict the flow distribution in multimodal transportation …
Impact of connected and autonomous vehicle technology on market penetration and route choices
Before having a massive deployment of fully connected and autonomous vehicles (CAVs),
CAVs with different automation levels and human-driven vehicles (HVs) will coexist on roads …
CAVs with different automation levels and human-driven vehicles (HVs) will coexist on roads …
[HTML][HTML] Chemical reaction optimization for solving a static bike repositioning problem
In this paper, the single-vehicle static repositioning problem is studied. The objective of
repositioning is to minimize the weighted sum of unmet customer demand and operational …
repositioning is to minimize the weighted sum of unmet customer demand and operational …
Transportation network redundancy: Complementary measures and computational methods
Redundancy is vital for transportation networks to provide utility to users during disastrous
events. In this paper, we develop two network-based measures for systematically …
events. In this paper, we develop two network-based measures for systematically …
Sustainability SI: Optimal prices of electricity at public charging stations for plug-in electric vehicles
With an increasing deployment of plug-in electric vehicles, evaluating and mitigating the
impacts of additional electrical loads created by these vehicles on power distribution grids …
impacts of additional electrical loads created by these vehicles on power distribution grids …
Remote park-and-ride network equilibrium model and its applications
Existing park-and-ride (P&R) sites are usually located near a train/bus station where
construction and operation costs are considerably high. Thus, this paper proposes a new …
construction and operation costs are considerably high. Thus, this paper proposes a new …
A faster path-based algorithm with Barzilai-Borwein step size for solving stochastic traffic equilibrium models
Step size determination (also known as line search) is an important component in effective
algorithmic development for solving the traffic assignment problem. In this paper, we explore …
algorithmic development for solving the traffic assignment problem. In this paper, we explore …