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| 1 | Influence of highway construction projects on economic development: an empirical assessment显示文摘 | Konstantina Gkritza Kumares C. Sinha Samuel Labi Fred L. Mannering | 2008 | The Annals of Regional Science2008，，3： | 1 |
| 2 | Influence of highway construction projects on economic development: an empirical assessment显示文摘 | Konstantina Gkritza Kumares C Sinha Samuel Labi | 2008 | Annals of Regional Science2008，，9： | 1 |
| 3 | Analysis of long-term effectiveness of thin hot-mix asphaltic concrete overlay treatments显示文摘 | Labi Samuel Lamptey Geoffrey Konduri Sravanthi etal | 2005 | Transportation Research Record2005，，5： | 1 |
| 4 | Effectiveness of Highway Pavement Seal Coating Treatments显示文摘 | SAMUEL LABI KUMARES C SINHA | 2004 | Journal of Transportation Engineering2004，，1： | 1 |
| 5 | Influence of highway construction projects on economic development:an empirical assessment显示文摘 | Konstantina Gkriza Kumares C Sinha Samuel Labi | | 0，，3： | 1 |
| 6 | Effectiveness of Highway Pavement Seal Coating Treatments显示文摘 | Samuel Labi Kumares C Sinha | 2004 | Journal of Transportation Engineering2004，，1： | 1 |
| 7 | Development and testing of an image transformer for explainable autonomous driving systems显示文摘Purpose–Perception has been identified as the main cause underlying most autonomous vehicle related accidents.As the key technology in perception,deep learning(DL)based computer vision models are generally considered to be black boxes due to poor interpretability.These have exacerbated user distrust and further forestalled their widespread deployment in practical usage.This paper aims to develop explainable DL models for autonomous driving by jointly predicting potential driving actions with corresponding explanations.The explainable DL models can not only boost user trust in autonomy but also serve as a diagnostic approach to identify any model deficiencies or limitations during the system development phase.Design/methodology/approach–This paper proposes an explainable end-to-end autonomous driving system based on“Transformer,”a state-ofthe-art self-attention(SA)based model.The model maps visual features from images collected by onboard cameras to guide potential driving actions with corresponding explanations,and aims to achieve soft attention over the image’s global features.Findings–The results demonstrate the efficacy of the proposed model as it exhibits superior performance(in terms of correct prediction of actions and explanations)compared to the benchmark model by a significant margin with much lower computational cost on a public data set(BDD-OIA).From the ablation studies,the proposed SA module also outperforms other attention mechanisms in feature fusion and can generate meaningful representations for downstream prediction.Originality/value–In the contexts of situational awareness and driver assistance,the proposed model can perform as a driving alarm system for both human-driven vehicles and autonomous vehicles because it is capable of quickly understanding/characterizing the environment and identifying any infeasible driving actions.In addition,the extra explanation head of the proposed model provides an extra channel for sanity checks to guarantee that the model learns the ideal causal relationships.This provision is critical in the development of autonomous systems. | Jiqian Dong Sikai Chen Mohammad Miralinaghi Tiantian Chen Samuel Labi | 2022 | Journal of Intelligent and Connected Vehicles2022，5，3： | 0 |
| 8 | Multi-objective optimization in highway pavement maintenance and rehabilitation project selection and scheduling:A state-of-the-art review显示文摘The motivation for cost-effective management of highway pavements is evidenced not only by the massive expenditures associated with these activities at a national level but also by the consequences of poor pavement condition on road users.This paper presents a state-of-the-art review of multi-objective optimization(MOO)problems that have been formulated and solution techniques that have been used in selecting and scheduling highway pavement rehabilitation and maintenance activities.First,the paper presents a taxonomy and hierarchy for these activities,the role of funding sources,and levels of jurisdiction.The paper then describes how three different decision mechanisms have been used in past research and practice for project selection and scheduling(historical practices,expert opinion,and explicit mathematical optimization)and identifies the pros and cons of each mechanism.The paper then focuses on the optimization mechanism and presents the types of optimization problems,formulations,and objectives that have been used in the literature.Next,the paper examines various solution algorithms and discusses issues related to their implementation.Finally,the paper identifies some barriers to implementing multi-objective optimization in selecting and scheduling highway pavement rehabilitation and maintenance activities,and makes recommendations to overcome some of these barriers. | Mohammadhosein Pourgholamali Samuel Labi Kumares C.Sinha | 2023 | Journal of Road Engineering2023，3，3： | 0 |
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