Cluster analysis of day-to-day traffic data in networks

Zhang, Pengji; Ma, Wei; Qian, Sean

doi:10.1016/j.trc.2022.103882

Cited by 9 publications

(2 citation statements)

References 18 publications

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“…Zhang et al started from the macro perspective of transportation demand management (TDM) and then transformed TDM into classical state space analysis using the theory of supply-demand interaction and finally, analyzed the micro route travel cost under TDM by introducing a state-dependent regional practice formation function [205]. Zhang et al have used clustering algorithms to analyze the non-objectivity of micro travel under the premise of macro traffic flow distribution [206]. Subsequently, Xiao et al have proposed the basic behavior pattern of "arrive-stay-leave (ASL)" for individuals based on urban regional travel heat maps and have interpreted the heat map from a macro perspective using multi-head attention networks.…”

Section: Deep Integration Of Micro Travel Decision-making and Macro T...mentioning

confidence: 99%

Urban Day-to-Day Travel and Its Development in an Information Environment: A Review

Nai,

Yang,

et al. 2024

Sustainability

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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. Moreover, with the advent of the information age, intelligent connected vehicles, smartphones, and other types of intelligent terminals have placed urban day-to-day travel systems in an information environment. In such an environment, the travel decision-making processes of travelers are significantly affected, making it even more difficult to give theoretical explanations for urban day-to-day travel systems. Considering that analyzing urban day-to-day travel patterns in an information environment is of great significance for governing the constantly developing and changing urban travel system and, thus, of great importance for the sustainable development of cities, this paper gives a systematic review of the theoretical research on urban day-to-day travel and its development in an information environment over the past few decades. More specifically, the basic explanation of an information environment for urban day-to-day travel is given first; subsequently, the theoretical development of micro decision-making related to individual day-to-day travelers in an information environment is discussed, and the theoretical development related to changes in urban macro traffic flow, which can be recognized as the aggregation effect formed by individual micro decision-making, is also discussed; in addition, the development of understanding different types of traffic information that travelers may obtain in an information environment is discussed; finally, some important open issues related to the deep impact of information environment on urban day-to-day travel systems that require further research are presented. These valuable research directions include using information methods to fit day-to-day travel patterns of cities and implementing macro and micro integrated modeling for urban day-to-day travel systems based on complex system dynamics and even quantum mechanics.

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Section: Deep Integration Of Micro Travel Decision-making and Macro T...mentioning

confidence: 99%

Urban Day-to-Day Travel and Its Development in an Information Environment: A Review

Nai,

Yang,

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…With different daily traffic patterns from day to day (e.g., Zhang et al, 2022), we aim to reconstruct these systematic flows using long and short-term recurrent temporal patterns as building blocks. Due to the dependencies between estimating systematic variations and the statistical properties of random variation, we require a method that is able to infer both from historical data.…”

Section: Methodsmentioning

confidence: 99%