Value of Time estimation considering Automated Vehicle Impacts (VOTAVI)
考虑自动驾驶汽车影响的时间价值估算 (VOTAVI)
基本信息
- 批准号:532419418
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:
- 资助国家:德国
- 起止时间:
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Value of travel time, or interchangeably, value of time (VOT) has been a crucial instrument for travel demand modeling, travel behavior analytics, transport policy, and investment evaluation. With the introduction of autonomous modes, such as autonomous vehicles (AVs), but also autonomous Urban Air Mobility (UAM), the perception of VOT is fundamentally changed as AVs enable individuals the capability of performing multiple tasks while traveling. VOTAVI aims at defining a novel methodological framework for the estimation of VOT in the era of AVs, utilizing innovative data collection methods that would allow to explore more thoroughly the impact of latent personal characteristics on their choices. VOTAVI will systematically examine, based on a critical assessment of the current state of the art of value of timing research and offer innovative improvements that reflect emerging lifestyles, technological breakthroughs, and new mobility concepts in different activity contexts. The potential of receding from the travel time minimization paradigm in the era of autonomous vehicles requires the identification of the factors that influence perceptions on travel (including new sets of lifestyles, preferences, and behaviors). VOTAVI goal is twofold: a) provide an exploration of these factors by the creation of a series of surveys that would investigate the value of travel time in a novel use of both revealed preference (RP) and stated preference (SP); and b) explore the potential of novel data collection techniques to provide a more thorough investigation for the exploration of VOT changes. This investigation will be implemented through the development of both a web-based stated preference survey and a smartphone app. The developed instruments will allow assessing the potential impact of AVs on VOT perception by considering in-vehicle activity participation, individual personality traits, attitudinal towards AVs, and other conventional factors like transport mode, trip purpose, distance traveled and reliability. Based on the collected empirical data, the project will develop new methodologies using discrete choice models to investigate VOT under different scenarios of AVs. The project is organized into four work packages. WP1 is devoted to web-based SP experiments design and implementation for VOT estimation. WP2 contributes to smartphone application prototype development. WP3 is dedicated to RP/SP experiments using the smartphone-based app for both pilot studies and its wide deployment. WP4 is devoted to data analysis and model development for VOT estimation. We adopt flexible project management with overlaps between the WPs.
旅行时间价值(或可互换的时间价值(VOT))已成为出行需求建模,出行行为分析,交通政策和投资评估的重要工具。随着自主模式的引入,例如自主车辆(AV)以及自主城市空中交通(UAM),人们对VOT的看法发生了根本性的变化,因为AV使个人能够在旅行时执行多项任务。VOTAVI旨在定义一个新的方法框架,用于在AV时代估计VOT,利用创新的数据收集方法,可以更彻底地探索潜在的个人特征对他们选择的影响。VOTAVI将系统地研究,根据对计时研究价值的当前艺术状态的批判性评估,并提供创新的改进,反映新兴的生活方式,技术突破和不同活动环境中的新移动概念。在自动驾驶汽车时代,从旅行时间最小化范式中退出的潜力需要识别影响旅行感知的因素(包括新的生活方式,偏好和行为)。VOTAVI的目标是双重的:a)通过创建一系列调查来探索这些因素,这些调查将调查在显示偏好(RP)和陈述偏好(SP)的新用途中的旅行时间的价值;以及B)探索新数据收集技术的潜力,以提供对VOT变化的探索的更彻底的调查。这项调查将通过开发基于网络的陈述偏好调查和智能手机应用程序来实现。开发的工具将允许通过考虑车内活动参与,个人个性特征,对自动驾驶汽车的态度以及其他传统因素(如交通方式,出行目的,行驶距离和可靠性)来评估自动驾驶汽车对VOT感知的潜在影响。根据收集的经验数据,该项目将开发使用离散选择模型的新方法来研究不同AV场景下的VOT。该项目分为四个工作包。WP 1致力于基于Web的VOT估计SP实验的设计和实现。WP 2有助于智能手机应用程序原型开发。WP 3致力于使用基于智能手机的应用程序进行RP/SP实验,用于试点研究及其广泛部署。WP 4致力于VOT估算的数据分析和模型开发。我们采用灵活的项目管理,在工作计划之间有重叠。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Professor Dr. Constantinos Antoniou其他文献
Professor Dr. Constantinos Antoniou的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Professor Dr. Constantinos Antoniou', 18)}}的其他基金
TraMPa: Transportation Modeling Using Publicly Available Data: An Evolution for Model Input Data
TraMPa:使用公开数据进行交通建模:模型输入数据的演变
- 批准号:
415208373 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Research Grants
Dynamic vanpool services: Passenger preferences, operations modeling and simulation-based quantification of impacts
动态拼车服务:乘客偏好、运营建模和基于模拟的影响量化
- 批准号:
392047120 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Research Grants
相似国自然基金
SERS探针诱导TAM重编程调控头颈鳞癌TIME的研究
- 批准号:82360504
- 批准年份:2023
- 资助金额:32 万元
- 项目类别:地区科学基金项目
华蟾素调节PCSK9介导的胆固醇代谢重塑TIME增效aPD-L1治疗肝癌的作用机制研究
- 批准号:82305023
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于MRI的机器学习模型预测直肠癌TIME中胶原蛋白水平及其对免疫T细胞调控作用的研究
- 批准号:
- 批准年份:2022
- 资助金额:52 万元
- 项目类别:面上项目
结直肠癌TIME多模态分子影像分析结合深度学习实现疗效评估和预后预测
- 批准号:62171167
- 批准年份:2021
- 资助金额:57 万元
- 项目类别:面上项目
Time-lapse培养对人类胚胎植入前印记基因DNA甲基化的影响研究
- 批准号:
- 批准年份:2021
- 资助金额:0.0 万元
- 项目类别:省市级项目
萱草花开放时间(Flower Opening Time)的生物钟调控机制研究
- 批准号:31971706
- 批准年份:2019
- 资助金额:59.0 万元
- 项目类别:面上项目
Time-of-Flight深度相机多径干扰问题的研究
- 批准号:61901435
- 批准年份:2019
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
Finite-time Lyapunov 函数和耦合系统的稳定性分析
- 批准号:11701533
- 批准年份:2017
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
建筑工程计划中Time Buffer 的形成和分配 – 工程项目管理中的社会性研究
- 批准号:71671098
- 批准年份:2016
- 资助金额:48.0 万元
- 项目类别:面上项目
光学Parity-Time对称系统中破坏点的全光调控特性研究
- 批准号:11504059
- 批准年份:2015
- 资助金额:20.0 万元
- 项目类别:青年科学基金项目
相似海外基金
"Forens-OMICS" on Human Remains and Biological Fluids for Age-at-Death, Post-Mortem Interval and Time Since Deposition Estimation in Forensic Contexts
关于法医背景下人体遗骸和生物体液死亡年龄、死后间隔和沉积时间估计的“Forens-OMICS”
- 批准号:
MR/Y019989/1 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Fellowship
Development of a high-rate ultrasonic windspeed measurement method based on a generalization of time inverse method and wave number estimation using EKF
开发基于时间反演方法和 EKF 波数估计推广的高速超声波风速测量方法
- 批准号:
23K03880 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Scientific Research (C)
Tsunami early warning method based on the real-time estimation of coseismic sea-bottom displacements
基于同震海底位移实时估计的海啸预警方法
- 批准号:
22KJ0049 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for JSPS Fellows
Development of a residence time estimation method for geothermal fluids to enable sustainable utilization of geothermal resources
开发地热流体停留时间估计方法以实现地热资源的可持续利用
- 批准号:
23H01909 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Scientific Research (B)
NSF-BSF: Real-Time Robust Estimation and Stochastic Control for Dynamic Systems with Additive Heavy-Tailed Uncertainties
NSF-BSF:具有加性重尾不确定性的动态系统的实时鲁棒估计和随机控制
- 批准号:
2317583 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant
AMPS: Scalable Methods for Real-time Estimation of Power Systems under Uncertainty
AMPS:不确定性下电力系统实时估计的可扩展方法
- 批准号:
2229495 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant
NCS-FO: Uncovering Dynamics of Neural Activity of Subjective Estimation of Time
NCS-FO:揭示主观时间估计的神经活动动态
- 批准号:
2319518 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Continuing Grant
Estimation of Multivariate Distribution for Time Series Data
时间序列数据多元分布的估计
- 批准号:
23K18807 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Research Activity Start-up
Developing a dynamic modeling framework for surveillance, prediction, and real-time resource allocation to reduce health disparities during Covid-19 and future pandemics
开发用于监测、预测和实时资源分配的动态建模框架,以减少 Covid-19 和未来大流行期间的健康差距
- 批准号:
10584876 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Collaborative Research: Novel integration of direct measurements with numerical models for real-time estimation and forecasting of streamflow response to cyclical processes
合作研究:直接测量与数值模型的新颖集成,用于实时估计和预测水流对循环过程的响应
- 批准号:
2139649 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Standard Grant














{{item.name}}会员




