Greater integration of advanced vehicle technologies is commonly discussed as a component of developing smart cities, potentially leading to a host of benefits. Final impacts of such benefits are uncertain, though, given research that illustrates induced travel by initial adopters of emerging vehicle technologies and services and mixed effects in transit use and active transportation. The locations within cities where interventions of advanced vehicle technologies are envisioned, geographic scope and extent of integration, and the characteristics of these areas are all likely to influence these effects, and these relationships have received limited investigative attention. To address this, we conducted a comprehensive review of proposals submitted by 78 midsized cities in the United States to create a typology that considers (1) the geographic scope of intervention and (2) the degree of integration of connected and automated vehicles, generating five distinct types of projects. Characteristics of the areas within cities identified for intervention are compared to those of their U.S. Metropolitan Statistical Area (MSA). We identified indicators of comprehensive planning efforts as they relate to sustainability and resilience outcomes in each city. Results show that areas identified by cities for advanced vehicle technology interventions differ in important ways from each city’s broader population that warrant attention relative to known demographic characteristics and behavior of early adopters of transportation technologies. There is also variation in project motivation and municipal planning indicators across typology classifications. These are essential considerations as smart city–aligned transportation interventions continue to develop. Key Words: automated vehicle, connected vehicle, smart city, typology.

通常，将先进车辆技术的更大集成作为发展智慧城市的一个组成部分，可能会带来很多好处。不过，鉴于研究表明新兴车辆技术和服务的初次采用者会诱导出行，以及在公交使用和主动运输中产生混合影响，因此此类收益的最终影响尚不确定。预想在城市中进行先进车辆技术干预的位置，地理范围和整合程度以及这些地区的特征都可能影响这些影响，并且这些关系受到的研究关注有限。为了解决这个问题，我们对美国78个中型城市提交的提案进行了全面审查，以创建一种类型学，该类型学考虑（1）干预的地理范围和（2）联网汽车和自动驾驶汽车的集成度，从而产生五种不同类型的项目。将确定要干预的城市区域的特征与其美国大都会统计区域（MSA）的特征进行比较。我们确定了综合规划工作的指标，因为它们与每个城市的可持续性和弹性结果相关。结果表明，城市确定的用于先进车辆技术干预的区域与每个城市的广大人口在重要方面存在显着差异，相对于已知的人口特征和运输技术的早期采用者的行为，每个城市都应引起注意。跨类型分类的项目动机和市政规划指标也有所不同。随着以智慧城市为导向的交通干预措施的不断发展，这些都是必不可少的考虑因素。关键词：自动驾驶汽车，联网汽车，智慧城市，类型学。