Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review
Accurate clearance time prediction for road incident would be helpful to evaluate the
incident impacting range and provide route guiding strategy according to the predicted …
incident impacting range and provide route guiding strategy according to the predicted …
[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 …
Multi-modal combined route choice modeling in the MaaS age considering generalized path overlapping problem
D Li, M Yang, CJ Jin, G Ren, X Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the MaaS (Mobility as a Service) age, the alternatives of route choice for a trip will not be
the single mode paths, but the combined routes utilizing more than one travel mode in the …
the single mode paths, but the combined routes utilizing more than one travel mode in the …
The whole day path planning problem incorporating mode chains modeling in the era of mobility as a service
Y Song, D Li, Q Cao, M Yang, G Ren - Transportation Research Part C …, 2021 - Elsevier
The growing popularity of Mobility as a Service (MaaS) has led researchers to realize that it
can be used for the optimal management of the transportation system of a city. This study is …
can be used for the optimal management of the transportation system of a city. This study is …
Semi-supervised route choice modeling with sparse Automatic vehicle identification data
Abstract Massive and passive Automatic Vehicle Identification (AVI) data provides samples
of whereabouts and movements of vehicles, which is a potential source of information for …
of whereabouts and movements of vehicles, which is a potential source of information for …
[HTML][HTML] Mining public opinion on transportation systems based on social media data
D Li, Y Zhang, C Li - Sustainability, 2019 - mdpi.com
Public participation plays an important role of traffic planning and management, but it is a
great challenge to collect and analyze public opinions for traffic problems on a large scale …
great challenge to collect and analyze public opinions for traffic problems on a large scale …
Asymmetric closed-form route choice models: Formulations and comparative applications
Among the discrete choice contexts discussed in the transportation literature, route choice is
particularly challenging, for which several model structures with different assumptions were …
particularly challenging, for which several model structures with different assumptions were …
Household hurricane evacuation plan adaptation in response to estimated travel delay provided prior to departure
Households have access to real-time travel information via different media. However, the
effects of predeparture information about travel delays on households' evacuation plans …
effects of predeparture information about travel delays on households' evacuation plans …
[HTML][HTML] Exploring the role of spatial cognition in predicting urban traffic flow through agent-based modelling
Urban systems are highly complex and non-linear in nature, defined by the behaviours and
interactions of many individuals. Building on a wealth of new data and advanced simulation …
interactions of many individuals. Building on a wealth of new data and advanced simulation …
Utility-based route choice behavior modeling using deep sequential models
GPS-based navigation systems have played crucial roles to improve transportation system
performances. A limitation of such route guidance systems is that their route …
performances. A limitation of such route guidance systems is that their route …