[HTML][HTML] The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the …
An examination of model validation practices in the peer-reviewed transportation literature
published between 2014 and 2018 reveals that 92% of studies reported goodness-of-fit …
published between 2014 and 2018 reveals that 92% of studies reported goodness-of-fit …
Boundedly rational route choice behavior: A review of models and methodologies
Perfect rationality (PR) has been widely used in modeling travel behavior. As opposed to
PR, bounded rationality (BR) has recently regained researchers' attention since it was first …
PR, bounded rationality (BR) has recently regained researchers' attention since it was first …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning
Vacant taxi drivers' passenger seeking process in a road network generates additional
vehicle miles traveled, adding congestion and pollution into the road network and the …
vehicle miles traveled, adding congestion and pollution into the road network and the …
Two-sided deep reinforcement learning for dynamic mobility-on-demand management with mixed autonomy
Autonomous vehicles (AVs) are expected to operate on mobility-on-demand (MoD)
platforms because AV technology enables flexible self-relocation and system-optimal …
platforms because AV technology enables flexible self-relocation and system-optimal …
Bridging the user equilibrium and the system optimum in static traffic assignment: a review
V Morandi - 4OR, 2024 - Springer
Solving the road congestion problem is one of the most pressing issues in modern cities
since it causes time wasting, pollution, higher industrial costs and huge road maintenance …
since it causes time wasting, pollution, higher industrial costs and huge road maintenance …
Similarity analysis of frequent sequential activity pattern mining
Activity pattern classification is extensively studied using multi-person single-day mobile
traces. However, human mobility exhibits intra-personal variability and thus single-day …
traces. However, human mobility exhibits intra-personal variability and thus single-day …
Clearing the path to transcend barriers to walking: Analysis of associations between perceptions and walking behaviour
Walkability is much studied, but the relative importance of perceptions and motivations is still
not consensual. This study took a holistic approach to examine the comparative importance …
not consensual. This study took a holistic approach to examine the comparative importance …
Using GPS-data to determine optimum electric vehicle ranges: A Michigan case study
Fuel-switching personal transportation from gasoline to electricity offers many advantages,
including lower noise, zero local air pollution, and petroleum-independence. But alleviations …
including lower noise, zero local air pollution, and petroleum-independence. But alleviations …
Reinforcement learning of route choice considering traveler's preference
X Long, J Mao, Z Qiao, P Li, W He - Transportation Letters, 2023 - Taylor & Francis
Travelers always perform some preference during the decision-making process. The
preference will affect the decision results and can be improved by continuously learning. In …
preference will affect the decision results and can be improved by continuously learning. In …