Xiaoning Zhang

Reward-driven mixed and stochastic equilibria for efficient and resilient traffic assignment

Hang Su, Xiaoning Zhang

Regulators adopt incentive strategies to guide urban travel behavior, but travelers deviate from system-optimal routes due to heterogeneous information access and perceptual biases. Traffic assignment quantifies such regulatory impacts on network flow, yet fixed user equilibrium-based research overlooks dynamic incentive penetration and …

cn (code pays fourni par la source)

Compensation pricing for private car crowdshipping under user equilibrium: a bi-level framework with Bayesian optimization

Yuxin Zheng, Xiaoning Zhang

cn (code pays fourni par la source)

HAM-MSTF: A hybrid attention-based model for multi-task spatio-temporal forecasting

Yu Lu, Xiaoning Zhang, Xiaojun Liang, Chunhua Yang et autres

cn (code pays fourni par la source)

Parking permit management in a corridor with electric vehicles considering parking restraint

Lechen Guan, Xiaoning Zhang

ABSTRACT In this paper, we investigate parking permit management in a many-to-one electric-vehicle (EV) corridor network in which each corridor is composed of a road-bottleneck path, a charging-bottleneck path and a parallel transit path. First, since the parking lot is available for …

cn (code pays fourni par la source)

Integrated Planning of Supply and Inventory Under Seasonal Demand Uncertainty

Tao Wu, Canrong Zhang, Weiwei Chen, Xiaoning Zhang

This study investigates several classes of integrated supply and inventory (SI) planning problems, addressing supplier selection with limited or unlimited capacities, distribution, and centralized or decentralized inventory planning for various products with uncertain demand. Our focus is on retailers specializing in fashion …

cn, us (code pays fourni par la source)

Causally Aware Spatiotemporal Multigraph Convolutional Network for Accurate and Reliable Traffic Prediction

Pingping Dong, Xiaolin Wang, Indranil Bose, Kam K.H. Ng et autres

Accurate and reliable prediction has profound implications for a wide range of applications, such as hospital admissions, inventory control, and route planning. In this study, we focus on an instance of spatiotemporal learning problems—traffic prediction—to demonstrate an advanced deep learning model developed …

hk, cn, fr (code pays fourni par la source)

Benders decomposition for stochastic facility location and production planning

Tao Wu, Jingwen Zhang, Canrong Zhang, Zhe Liang et autres

cn (code pays fourni par la source)

Code and Data Repository for Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction

Pingping Dong, Xiaolin Wang, Indranil Bose, Kam K.H. Ng et autres

The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction by Pingping Dong, Xiao-Lin Wang, …

Human sperm KSper is physiologically activated by intracellular pH alkalization and CatSper-mediated Ca2+ signaling

Hang Won Kang, Huafeng Wang, Jie Wu, Jiali Zhang et autres

The hyperpolarization of membrane potential (V m ) generated by the activation of sperm-specific K + channel (KSper) is considered as an important indicator for the evaluation of sperm fertilizing capacity. However, owing to the relatively low pH sensitivity and low Ca …

cn (code pays fourni par la source)

Analysis of Expressway Accident Casualty Severity Based on Driver Factors

Lei Shi, Yang Dun, L. S. Zhang, Lechen Guan et autres

As the lifeline of modern transportation, expressways always attract considerable attention regarding safety, with driver-related factors being the key contributors to the occurrence and severity of accidents. To explore the application potential of machine learning algorithms in this domain, this study first …

cn (code pays fourni par la source)

Random Forest Based Prediction of Casualties in Expressway Accidents

Lei Shi, Lechen Guan, Xiaoning Zhang

Expressways, as the core arteries of modern transportation networks, have significantly enhanced travel efficiency and logistics speed, vigorously promoting regional economic integration. However, their enclosed nature, high speeds, and complex traffic environments also markedly increase the risk of traffic accidents. Therefore, effectively …

us, cn (code pays fourni par la source)

Multi-Period operations optimization for passenger-freight shared transport: A game-theoretic approach

Yuxin Zheng, Jie Yang, Xiaoning Zhang

cn (code pays fourni par la source)