[HTML][HTML] How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data
Improving the travel ratio of public transportation (PTR) is important for realizing low-carbon
transportation and sustainable city development. However, limited by data resolution and …
transportation and sustainable city development. However, limited by data resolution and …
[HTML][HTML] AGNP: Network-wide short-term probabilistic traffic speed prediction and imputation
Abstract The data-driven Intelligent Transportation System (ITS) provides great support to
travel decisions and system management but inevitably encounters the issue of data …
travel decisions and system management but inevitably encounters the issue of data …
A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets
Ride-sourcing services are increasingly popular because of their ability to accommodate on-
demand travel needs. A critical issue faced by ride-sourcing platforms is the supply-demand …
demand travel needs. A critical issue faced by ride-sourcing platforms is the supply-demand …
Incorporating personalization and bounded rationality into stochastic transit assignment model
The use of smartphone applications (apps) to acquire real-time information for trip planning
has become and progressively continues becoming a more instinctive behavior among …
has become and progressively continues becoming a more instinctive behavior among …
Using frequency domain analysis to elucidate travel time reliability along congested freeway corridors
Travel time reliability (TTR) is an essential measure of service for traffic performance
management, especially for congested freeway corridors. This paper proposes a systematic …
management, especially for congested freeway corridors. This paper proposes a systematic …
Integrating probabilistic tensor factorization with Bayesian supervised learning for dynamic ridesharing pattern analysis
In the era of transportation big data, the analysis of mobility patterns generally involves large
quantities of datasets with high-dimensional variables recording individual travelers' …
quantities of datasets with high-dimensional variables recording individual travelers' …
Urban Day-to-Day Travel and Its Development in an Information Environment: A Review
W Nai, Z Yang, D Li, L Liu, Y Fu, Y Guo - Sustainability, 2024 - mdpi.com
Urban day-to-day travel systems generally exist in various types of cities. Their modeling is
difficult due to the uncertainty of individual travelers in micro travel decision-making …
difficult due to the uncertainty of individual travelers in micro travel decision-making …
[HTML][HTML] Analyzing the effects of congestion on planning time index–Grey models vs. random forest regression
Travel time and its predictability level are important factors influencing travel behavior and
the role of traffic congestion as an important factor in the unreliability of travel time is …
the role of traffic congestion as an important factor in the unreliability of travel time is …
[HTML][HTML] Evaluation and improvement of the urban transportation networks resilience in short-term non-recurring traffic congestion: a novel graph connectivity-based …
MA Gorji, M Akbarzadeh… - Transportation Engineering, 2022 - Elsevier
Work or study purpose trips usually make up most intercity trips during peak hours. Being at
a destination at a specific time is one of the characteristics of such trips, and the occurrence …
a destination at a specific time is one of the characteristics of such trips, and the occurrence …
Autonomous or controlled self-regulation, that is the question: A self-determination perspective on the impact of commuting on employees' domain-specific functioning
The few studies that have considered psychological processes during the commute have
drawn an ambiguous picture, with some emphasizing the negative and others the positive …
drawn an ambiguous picture, with some emphasizing the negative and others the positive …