Zhuolin Li's research while affiliated with UNSW Sydney and other places

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Publications (2)

Descriptive statistics of the variables.
Rotated factor loading of all candidate variables.
Crash duration model estimation results.
Crash frequency model estimation results.
Comparing and Contrasting the Impacts of Macro-Level Factors on Crash Duration and Frequency
Article
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  • May 2022
Road traffic crashes cause social, economic, physical and emotional losses. They also reduce operating speed and road capacity and increase delays, unreliability, and productivity losses. Previous crash duration research has concentrated on individual crashes, with the contributing elements extracted directly from the incident description and recor...
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Fig. 1. Breakdown frequency and the average breakdown duration of SA3.
Descriptive statistics of network-related variables.
Rotated factor loadings of network structure variables.
AFT model estimation results.
Examining the Macro-level Factors Affecting Vehicle Breakdown Duration
Article
Full-text available
  • Apr 2021
A substantial part of traffic congestion is triggered by unplanned incidents such as crashes, breakdowns and hazards, reducing road capacity and increasing the delays, pollution, and productivity losses. Previous studies on incident duration have focussed on individual incidents and the influencing factors that could be obtained directly from the i...
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Citations

... In 2022, instead of using the variables extracted from incident descriptions and records, Chand et al. collected explanatory factors at a macro-level and used latent class models to estimate the crash duration and frequency for unobserved heterogeneity. The results showed that income, driver experience, and exposure are considered to have both positive and negative impacts on duration [23]. ...
Reference: Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data
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... It is a comprehensive diagram containing all the information required to estimate the microscopic and macroscopic characteristics of the traffic stream [37]. However, according to [38], many previous studies have not differentiated the road incident types, and studies that focus on the specific type of vehicle breakdown are rare. Furthermore, according to our literature review, there has not been study on how vehicle breakdown (including the towing process) impact traffic flow or how to evaluate this impact. ...
Reference: Multi-criteria Decision-making of Intelligent Vehicles under Fault Condition Enhancing Public-private Partnership
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