[HTML][HTML] Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights

J Xing, W Wu, Q Cheng, R Liu - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …

Review of transit data sources: potentials, challenges and complementarity

L Ge, M Sarhani, S Voß, L Xie - Sustainability, 2021 - mdpi.com
Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …

CQDFormer: Cyclic Quasi-Dynamic Transformers for Hourly Origin-Destination Estimation

G Li, J Wu, Y He, D Li - Applied Sciences, 2023 - mdpi.com
Featured Application The methodology of this study enables real-time acquisition of dynamic
traffic demand from the most basic data (traffic counts) in the field of transportation, which in …

[HTML][HTML] Simple pre-post analysis overestimates the impacts of new public transit services on ridership: Evidence from a quasi-experimental study of new bus rapid …

J Lee, HJ Miller - Journal of Public Transportation, 2022 - Elsevier
abstract This paper empirically demonstrates the value of quasi-experimental study designs
to evaluate the direct impacts of new public transit services on ridership within its corridor …

Planning urban internal transport based on cell phone data

H Xu, J Zhao - Applied Sciences, 2022 - mdpi.com
Based on cell phone data, mining residents' travel characteristics and regional traffic
connection characteristics has become an important technology for urban road traffic …

Leveraging location-based data for assessing network-level traffic impact of lane management: A case study of Alex Fraser Bridge

E Ka, S Sharma, S Ukkusuri - Journal of Transportation Engineering …, 2022 - ascelibrary.org
Lane management is expected to alleviate traffic congestion and improve mobility on
roadways. Previous studies have mainly analyzed the impacts of lane management on the …

Influence of geographical determinants on the spatial distribution of positioning uncertainties in mobile phone location data

X Song, L Zhang, S Wang, Y Long, W Jiang… - Transactions in …, 2022 - Wiley Online Library
The increasing use of mobile phone location (MPL) data in mobility research has provided
many insights into people's travel behaviors. Despite these achievements, the spatial …

A deep reinforcement learning approach for real-time demand-responsive railway rescheduling to mitigate station overcrowding using mobile data

E Liu, Z Lin, JYT Wang, H Chen - arXiv preprint arXiv:2308.11849, 2023 - arxiv.org
Real-time railway rescheduling is a timely and flexible technique to automatically alter the
operation schedule in response to time-varying conditions. Current research lacks data …

Long-term forecasts of statewide travel demand patterns using large-scale mobile phone GPS data: A case study of Indiana

R Verma, E Ka, SV Ukkusuri - arXiv preprint arXiv:2404.13211, 2024 - arxiv.org
The growth in availability of large-scale GPS mobility data from mobile devices has the
potential to aid traditional travel demand models (TDMs) such as the four-step planning …

Combining combinatorial optimisation and planning to solve the non-recurrent traffic jam problem

Y Laalaoui - … Journal of Artificial Intelligence and Soft …, 2022 - inderscienceonline.com
In this paper, we solve the non-recurrent traffic jam problem. This problem includes n
stopped vehicles where all of them share the same destination. We divided the problem into …