CAREER: An Integrated Transportation Network Reliability Analysis Framework

职业：综合交通网络可靠性分析框架

• 批准号: 0134161
• 负责人: Anthony Chen
• 金额: $ 37.5万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0134161&HistoricalAwards=false
• 关键词: CAREER; Integrated; Transportation; Network; Reliability

Experience with earthquakes has provided compelling evidence of transportation infrastructure's critical role in restoring normalcy as well as the need for reliable transportation systems under natural or man-made disasters. Nonetheless, reliability analysis has received very little attention in transportation research. Moreover, increased economic activity and improved quality of life have placed a higher value on reducing congestion. Road travelers in the 21st century would prefer a more reliable transportation system with a higher level of confidence of arriving at their destination on schedule. Transportation network reliability analysis will play an important role in the planning, design and management of transportation facilities and networks particularly in developed countries and/or mega-cities.The research plan entails developing an integrated transportation network reliability analysis framework. This integrated analysis framework involves modeling, evaluation, design, algorithm development, and implementation. The modeling includes estimating the maximum capacity of a transportation network and developing stochastic route choice models that account for both the traveler perception error as well as the uncertainty of network travel times. The evaluation component involves the assessment of transportation reliability measures: travel time reliability is concerned with the probability that a trip between a given origin-destination pair can be made within a given time interval and a specified level-of-service, and capacity reliability is concerned with the probability that the network capacity can accommodate a certain volume of traffic demand at a required service level. The design component addresses roadway network designed reliability and cost-effectiveness and includes investigating the role of information and learning in travel decisions. Finally, algorithms will be developed and implemented that will render the framework operational and successful. The education plan focuses on two important tasks: (1) enhancing the undergraduate program to better prepare our students for engineering/technology careers in the 21st century, and (2) developing a graduation transportation curriculum and teaching program with emphasis in systems modeling. These objectives will be achieved by (a) providing hands-on, team experience through computer lab exercises to our students to promote active and collaborative learning, (b) exposing promising students at the undergraduate level to research opportunities in transportation, (c) building a graduate curriculum and teaching program that emphasizes systems modeling, and (d) developing a transportation research seminar to provide an informal forum for students to discuss a wide range of topics related to transportation issues that do not necessarily fit into the course curriculum. In addition to the above educational activities, the PI will integrate research into teaching by bringing in new insights and results generated by this CAREER project into both undergraduate and graduate courses, to broaden the students' educational experience based on the research plan, and to recruit and retain traditionally under-represented students to the transportation program.

地震的经验提供了令人信服的证据，证明交通基础设施在恢复正常方面的关键作用，以及在自然或人为灾害下需要可靠的交通系统。然而，可靠性分析在交通运输研究中很少受到重视。此外，经济活动的增加和生活质量的提高使减少拥堵变得更加重要。21世纪的公路旅行者更喜欢更可靠的交通系统，更有信心按时到达目的地。交通网可靠性分析将在交通设施和交通网的规划、设计和管理方面发挥重要作用，特别是在发达国家和/或特大城市。该研究计划需要开发一个综合交通网络可靠性分析框架。这个集成的分析框架包括建模、评估、设计、算法开发和实现。建模包括估计交通网络的最大容量和发展随机路线选择模型，该模型考虑了旅客感知误差和网络旅行时间的不确定性。评估部分涉及对运输可靠性措施的评估：旅行时间可靠性涉及在给定的时间间隔和指定的服务水平之间在给定的出发地和目的地对之间进行旅行的概率，而容量可靠性涉及网络容量能够在要求的服务水平上容纳一定数量的交通需求的概率。设计部分涉及道路网络设计的可靠性和成本效益，包括调查信息和学习在出行决策中的作用。最后，算法将被开发和实现，这将使框架的操作和成功。教育计划侧重于两项重要任务：(1)加强本科课程，使我们的学生更好地为21世纪的工程/技术职业做好准备；(2)开发毕业交通课程和教学计划，重点是系统建模。这些目标将通过以下方式实现：(a)通过计算机实验室练习为学生提供动手的团队经验，以促进积极和协作的学习；(b)为有前途的本科生提供交通运输方面的研究机会；(c)建立强调系统建模的研究生课程和教学计划。(d)举办交通研究研讨会，为学生提供一个非正式的论坛，讨论与交通问题有关的广泛话题，这些话题不一定适合本课程的课程。除了上述教育活动外，PI还将通过将CAREER项目产生的新见解和成果引入本科和研究生课程，将研究与教学结合起来，在研究计划的基础上拓宽学生的教育经验，并招募和留住传统上代表性不足的学生参加交通项目。