When intelligent transportation systems sensing meets edge computing: Vision and challenges

X Zhou, R Ke, H Yang, C Liu - Applied Sciences, 2021 - mdpi.com
The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

A new method for calculating failure probability of landslide based on ANN and a convex set model

SH Li, XH Luo, LZ Wu - Landslides, 2021 - Springer
Calculating the failure probability of a landslide is important in engineering related to
geological process and geomorphological evolution. Strength parameters of a soil (ie …

[HTML][HTML] Integrated ANN-Bayes-based travel time prediction modeling for signalized corridors with probe data acquisition paradigm

W Lin, H Wei, D Nian - Expert systems with applications, 2022 - Elsevier
Travel time is a major information in support of Transportation System Management and
Operations (TSMO). Accurate travel time information extracted from probe data sources …

[HTML][HTML] Time-varying weight coefficients determination based on fuzzy soft set in combined prediction model for travel time

H Li, S Xiong - Expert Systems with Applications, 2022 - Elsevier
Precise prediction of travel time is a valuable reference for traffic participants to make travel
choices and is important for the development of intelligent transportation systems (ITS) …

Heterogenous Trip Distance‐Based Route Choice Behavior Analysis Using Real‐World Large‐Scale Taxi Trajectory Data

Y Deng, M Li, Q Tang, R He… - Journal of Advanced …, 2020 - Wiley Online Library
Most early research on route choice behavior analysis relied on the data collected from the
stated preference survey or through small‐scale experiments. This manuscript focused on …

Vehicle routing Problem for cold chain logistics based on data fusion technology to predict travel time

Q Bai, Y Yuan, X Fu, Z Zhou - Operational Research, 2024 - Springer
Cold chain logistics requires low-temperature transportation, which consumes more energy
and has higher distribution costs than ordinary logistics. Moreover, as the scale of cities …

The analysis of regional ice and snow tourist destinations under back propagation neural network

F Wang - Heliyon, 2024 - cell.com
This study aims to analyze the evolutionary characteristics and development levels of
regional ice and snow tourist destinations by integrating the Back Propagation Neural …

Spatial–Temporal Analysis of Vehicle Routing Problem from Online Car-Hailing Trajectories

X Feng, J Yu, Z Kan, L Zhou, L Tang… - … International Journal of …, 2023 - mdpi.com
With the advent of the information age and rapid population growth, the urban transportation
environment is deteriorating. Travel-route planning is a key issue in modern sustainable …

Mining Route Set Distribution Range and Affecting Factor Threshold Based on Global Positioning System Data

Y Deng, S Yan, X Hu, P Zhang - Transportation Research …, 2021 - journals.sagepub.com
Traditional route generation algorithms may result in many routes that few drivers choose in
reality, whereas other route generation algorithms need to determine thresholds for route set …

Modeling and Development of Operation Guidelines for Leader-Follower Autonomous Truck-Mounted Attenuator Vehicles

X Hu, Q Tang - arXiv preprint arXiv:2104.06507, 2021 - arxiv.org
Mobile and slow moving operations, such as striping, sweeping, bridge flushing and pothole
patching, are critical for efficient and safe operation of the highway transportation system. A …