Ling Wang
Tongji University
96 Papers
125 Citations
Ling Wang is an academic researcher from Tongji University. The author has contributed to research in topics: Computer science & Crash. The author has an hindex of 17, co-authored 80 publications. Previous affiliations of Ling Wang include Chinese Ministry of Education & University of Central Florida.
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Papers
Assessment of the safety benefits of vehicles’ advanced driver assistance, connectivity and low level automation systems
TL;DR: This research found that the CV&DA technologies could lead to the reduction of light vehicles' crashes and heavy trucks' crashes by at least 32.99% and 40.88%, respectively, based on the 2005-2008 GES Crash Records.
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Real-time crash prediction for expressway weaving segments
TL;DR: This study presents a multilevel Bayesian logistic regression model for crashes at expressway weaving segments using crash, geometric, Microwave Vehicle Detection System (MVDS) and weather data, and finds maximum length is found to be positively related to the crash risk at the 95% confidence interval.
143
Analysis of real-time crash risk for expressway ramps using traffic, geometric, trip generation, and socio-demographic predictors
TL;DR: This study analyzed the real-time crash risk for expressway ramps using traffic, geometric, socio-demographic, and trip generation predictors, and found that the socio- Demographic and trip Generation parameters have significant impact on the Real-Time crash risk.
111
Developing a grouped random parameters multivariate spatial model to explore zonal effects for segment and intersection crash modeling
TL;DR: In this article, a grouped random parameters multivariate spatial model is proposed to identify both observable zonal effects and unobserved heterogeneity at the zonal level by considering the heterogeneous and spatial correlations.
89
Optimization of dynamic relocation operations for one-way electric carsharing systems
Ling Wang,Qi Liu,Wanjing Ma +2 more
TL;DR: The results showed that the number of allocation tasks and distance for allocation have been greatly reduced because of the proposed methods, and the computing time can be reduced significantly with a small loss of accomplished tasks under the zoning scheme.
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