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Traffic accident severity prediction based on interpretable deep learning model 基于可解释深度学习模型的交通事故严重性预测
Pub Date : 2024-09-13 DOI: 10.1080/19427867.2024.2398336
Yulong Pei, Yuhang Wen, Sheng Pan
Accurately predicting traffic accident severity is crucial for road safety. However, existing studies lack interpretability in revealing the relationship between accident severity and key factors. ...
准确预测交通事故的严重程度对道路安全至关重要。然而,现有研究在揭示事故严重程度与关键因素之间的关系方面缺乏可解释性。...
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引用次数: 0
Exploring the effect of built environment on spatiotemporal evolution of traffic congestion using a novel GTWR model: a case study of Hefei, China 利用新型 GTWR 模型探索建筑环境对交通拥堵时空演变的影响:中国合肥案例研究
Pub Date : 2024-09-08 DOI: 10.1080/19427867.2024.2396773
Huiwen Liu, Weihua Zhang, Shiguang Wang, Zeyang Cheng, Liyang Wei, Wenjuan Huang
Understanding the impact of the built environment on traffic congestion can provide reliable references for alleviating traffic congestion. Previous research has explored traffic congestion evoluti...
了解建筑环境对交通拥堵的影响可以为缓解交通拥堵提供可靠的参考。以往的研究对交通拥堵的演变进行了探讨。
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引用次数: 0
Network effects from the provision of charging stations in the market diffusion of electric vehicles 在电动汽车市场普及过程中提供充电站的网络效应
Pub Date : 2024-09-05 DOI: 10.1080/19427867.2024.2398323
Xiaoling Liu, Xu Guo, Xiaohua Sun, Helen Song-Turner
This study investigates the long-term effects of charging station construction on electric vehicle (EV) diffusion, considering different deployment approaches and scales. Using China as a case stud...
本研究调查了充电站建设对电动汽车(EV)推广的长期影响,并考虑了不同的部署方法和规模。以中国为例,研究了充电站建设对电动汽车(EV)推广的长期影响。
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引用次数: 0
A human-in-the-loop ensemble fusion framework for road crash prediction: coping with imbalanced heterogeneous data from the driver-vehicle-environment system 用于道路碰撞预测的人在环集合融合框架:应对来自驾驶员-车辆-环境系统的不平衡异构数据
Pub Date : 2024-09-03 DOI: 10.1080/19427867.2024.2392063
Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Abdel Majid Ed-Dahbi, Othmane El Meslouhi, Mustapha Kardouchi, Moulay Akhloufi, Nusrat Jahan
Road accidents are an inevitable aspect of daily life, and predicting crashes is crucial for minimizing disruptions and advancing intelligent transportation technologies. This study aims to design ...
道路交通事故是日常生活中不可避免的一个方面,预测交通事故对于最大限度地减少交通中断和推进智能交通技术的发展至关重要。本研究旨在设计...
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引用次数: 0
Toward mainstreaming care activities in transportation: a time use and mobility segmentation approach 将护理活动纳入交通主流:时间利用和流动性细分方法
Pub Date : 2024-08-31 DOI: 10.1080/19427867.2024.2393536
Sebastián Henríquez, Juan Antonio Carrasco, Sebastián Astroza
This paper assesses the importance of incorporating care dimensions into activity-travel segmentation to understand daily life mobility strategies. The data came from six neighbourhoods in Concepci...
本文评估了将护理维度纳入活动-旅行细分以了解日常生活移动策略的重要性。数据来自康塞普西的六个社区。
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引用次数: 0
Analyzing the transfer duration of public transport passengers using classification and regression tree-multiple-Cox proportional hazards (CART-Multi-Cox) model 利用分类和回归树-多重-Cox 比例危险(CART-Multi-Cox)模型分析公共交通乘客的换乘持续时间
Pub Date : 2024-08-23 DOI: 10.1080/19427867.2024.2391168
Lei Gong, Pengfei Han, Tian Lei, Baicheng Li, Qin Luo, Cheng Zhu
Transfer behavior is a critical factor influencing the travel efficiency of public transportation passengers. To address the potential group heterogeneity, the present work developed an integrated ...
换乘行为是影响公共交通乘客出行效率的关键因素。为解决潜在的群体异质性问题,本研究开发了一种综合的...
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引用次数: 0
Exploring factors affecting the injury severity of highway-rail grade crossing crashes during the COVID-19 pandemic 探究 COVID-19 大流行期间影响公路铁路道口碰撞事故伤害严重程度的因素
Pub Date : 2024-08-22 DOI: 10.1080/19427867.2024.2392062
Qiaoqiao Ren, Min Xu
The outbreak of COVID-19 pandemic could alter the injury severity pattern of highway-rail grade crossing (HRGC) crashes. To compare factors affecting injury severities before and during the pandemi...
COVID-19大流行的爆发可能会改变公路-铁路道口(HRGC)碰撞事故的伤害严重程度模式。为了比较在COVID-19疫情爆发前和爆发期间影响受伤严重程度的因素,我们采用了以下方法。
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引用次数: 0
An empirical study on train choice preferences of high-speed railway passengers: the case of Nanning-Guangzhou railway and Nanning-Beihai railway 高速铁路乘客列车选择偏好实证研究:以南宁-广州铁路和南宁-北海铁路为例
Pub Date : 2024-08-22 DOI: 10.1080/19427867.2024.2391662
Dongsheng Gao, Xiaoqiang Zhang, Yun Yang
This paper presents a systematic investigation of the train choice preference heterogeneity of High-Speed Railway (HSR) passengers under market segmentation to understand their train choice compreh...
本文对细分市场下高铁乘客的列车选择偏好异质性进行了系统研究,以了解他们的列车选择偏好。
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引用次数: 0
En-route recharging scheduling strategy for electric trucks serving inter-terminal container transportation 集装箱码头间运输电动卡车的途中充电调度策略
Pub Date : 2024-08-19 DOI: 10.1080/19427867.2024.2389609
Yuxiong Ji, Pengliang Cao, Kum Fai Yuen, Yujing Zheng, Yu Shen
Container ports are increasingly deploying electric trucks (ETs) for inter-terminal transportation (ITT). However, en-route recharging activities, which reduce ITT efficiency, are necessary for ETs...
集装箱港口越来越多地采用电动卡车(ET)进行码头间运输(ITT)。然而,途中充电活动会降低 ITT 的效率,是电动卡车的必要条件...
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引用次数: 0
Improved time series models for the prediction of lane-change intention 预测变道意向的改进时间序列模型
Pub Date : 2024-07-22 DOI: 10.1080/19427867.2024.2379702
Hongrui Zhang, Yonggang Wang, Shengrui Zhang, Jingtao Li, Qushun Wang, Bei Zhou
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引用次数: 0
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Transportation Letters
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