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Joint optimization of fixed route bus networks and complementary paratransit service areas 联合优化固定线路公交网络和辅助公交服务区
Pub Date : 2024-02-28 DOI: 10.1080/19427867.2024.2320499
Daniel Rodriguez-Roman, José López-Martínez, Alberto M. Figueroa-Medina
An optimization-based approach is proposed for the joint design of fixed-route bus networks and the service areas of complementary paratransit services. Complementary paratransit systems provide tr...
本文提出了一种基于优化的方法,用于联合设计固定路线公交网络和互补性辅助交通服务的服务区域。互补性辅助交通系统为乘客提供...
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引用次数: 0
Exploring the travel behavioral differences for the elderly mobility on public transit 探索老年人乘坐公共交通出行的行为差异
Pub Date : 2024-02-28 DOI: 10.1080/19427867.2024.2321730
Shin-Hyung Cho, Shin Hyoung Park, Sangho Choo
Developing an integrated transportation system has required strategies to improve mobility in public transportation networks. This study aims to construct a route choice model incorporating heterog...
发展综合交通系统需要有改善公共交通网络流动性的策略。本研究旨在构建一个路线选择模型,该模型结合了公共交通网络的异质性和流动性。
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引用次数: 0
Qualitatively and quantitatively explore injury severity of light motor vehicle drivers involved in heavy goods vehicle crashes 定性和定量研究轻型汽车驾驶员在重型货车碰撞事故中受伤的严重程度
Pub Date : 2024-02-27 DOI: 10.1080/19427867.2024.2306009
Fulu Wei, Peixiang Xu, Yongqing Guo, Zhenyu Wang
Crashes involving heavy goods trucks (HGVs) are of significant concern as it poses a higher risk of fatality to light motor vehicles (LMVs). The study constructs three Deep Forest models with diffe...
涉及重型载货卡车(HGV)的碰撞事故引起了人们的极大关注,因为它对轻型机动车(LMV)构成了更高的死亡风险。本研究构建了三个深林模型,这些模型具有不同的...
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引用次数: 0
Enhanced forecasting of online car-hailing demand using an improved empirical mode decomposition with long short-term memory neural network 利用改进的经验模式分解与长短期记忆神经网络加强网约车需求预测
Pub Date : 2024-02-08 DOI: 10.1080/19427867.2024.2313832
Jiaming Liu, Xiaoya Tang, Haibin Liu
The study on forecasting demand for online car-hailing holds substantial implications for both online car-hailing platforms and government agencies responsible for traffic management. This research...
关于网约车需求预测的研究对网约车平台和负责交通管理的政府机构都有重大意义。这项研究...
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引用次数: 0
Effectiveness of unconventional anti-texting messages displayed on dynamic message signs 动态信息标志上显示的非常规反文字信息的效果
Pub Date : 2024-02-05 DOI: 10.1080/19427867.2024.2313291
Irtiza Rafid Khan, Kirti Mahajan, Vishal C. Kummetha, Steven D. Schrock, Alexandra Kondyli
Dynamic message signs (DMS) are widely adopted to display traffic and safety information. This study investigated the effectiveness of behavioral safety messages, including 10 unconventional anti-t...
动态信息标志(DMS)被广泛用于显示交通和安全信息。本研究调查了行为安全信息的有效性,包括 10 种非常规的反交通事故信息。
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引用次数: 0
A review of bike volume prediction studies 自行车容量预测研究综述
Pub Date : 2024-01-30 DOI: 10.1080/19427867.2024.2310831
Md Mintu Miah, Kate Kyung Hyun, Stephen P Mattingly
No previous research provided a comprehensive review of the bicycle volume estimation techniques assessing the current research gaps in data and modeling makes it challenging to understand the most...
以前的研究没有对自行车量估算技术进行全面回顾,评估数据和建模方面的现有研究缺口使得了解自行车量估算技术中最重要的技术具有挑战性。
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引用次数: 0
Are men from Mars, women from Venus? Investigating the determinants behind the intention to use fully automated taxis 男人来自火星,女人来自金星吗?调查全自动出租车使用意向背后的决定因素
Pub Date : 2024-01-30 DOI: 10.1080/19427867.2024.2310336
Yonghan Zhu, Marijn Janssen, Chengyan Pu
Acceptance by customers is key to the success of shared autonomous vehicles (SAVs). However, only a small group of early technology-savvy customers currently use such vehicles, while the general po...
客户的接受程度是共享自动驾驶汽车(SAVs)成功的关键。然而,目前只有一小部分早期精通技术的客户在使用这类车辆,而普通消费者对共享自动驾驶汽车的接受度却很低。
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引用次数: 0
Integrated Transit-Oriented Development (TOD) with suburban rail network design problem for maximizing profits 以公交为导向的综合开发(TOD)与郊区铁路网设计问题,以实现利润最大化
Pub Date : 2024-01-23 DOI: 10.1080/19427867.2024.2304999
Xinmei Chen, Chen Dong, Siyu Tao, Qiyuan Peng, Jie Liu
Driven by the transit-oriented development (TOD) policy for rail stations, this study focuses on the network design of rapid suburban railways and the TOD zone design of corresponding suburban rail...
在轨道站点公交导向发展(TOD)政策的推动下,本研究重点关注市郊快速轨道的网络设计以及相应市郊轨道的 TOD 区域设计。
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引用次数: 0
Exploring the design of reward functions in deep reinforcement learning-based vehicle velocity control algorithms 探索基于深度强化学习的车辆速度控制算法中的奖励函数设计
Pub Date : 2024-01-17 DOI: 10.1080/19427867.2024.2305018
Yixu He, Yang Liu, Lan Yang, Xiaobo Qu
The application of deep reinforcement learning (DRL) techniques in intelligent transportation systems garners significant attention. In this field, reward function design is a crucial factor for DR...
深度强化学习(DRL)技术在智能交通系统中的应用备受关注。在这一领域,奖励函数设计是 DRL 的关键因素。
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引用次数: 0
Research on shared parking allocation considering the heterogeneity of parking slot providers’ temporary parking demand 考虑停车位提供者临时停车需求异质性的共享停车位分配研究
Pub Date : 2024-01-10 DOI: 10.1080/19427867.2024.2303225
Qiaoru Li, Juanjuan Cheng, Liang Chen
Studies on the allocation of parking demand during the sharing period primarily focus on public parking users, ignoring parking slot providers’ temporary parking demand with heterogeneity. Therefor...
关于共享期间停车需求分配的研究主要集中在公共停车用户上,忽略了停车位提供者的异质性临时停车需求。因此...
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引用次数: 0
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Transportation Letters
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