Federal Highway Administration (FHWA) Connected and Automated Vehicles (CAV) Analysis, Modeling, and Simulation (AMS) Program: Connected, Automated, and Electric: Modeling Traffic and Traveler Choice Considering the Three Mega-Trends
Grahn, R., Wang, P., Asare, S., & Wunderlich, K. (2024). Federal Highway Administration (FHWA) Connected and Automated Vehicles (CAV) Analysis, Modeling, and Simulation (AMS) Program: Connected, Automated, and Electric: Modeling Traffic and Traveler Choice Considering the Three Mega-Trends (Report No. FHWA-JPO-24-145). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/78521
Grahn, Rick, Peiwei Wang, Sampson Asare, and Karl Wunderlich. Federal Highway Administration (FHWA) Connected and Automated Vehicles (CAV) Analysis, Modeling, and Simulation (AMS) Program: Connected, Automated, and Electric: Modeling Traffic and Traveler Choice Considering the Three Mega-Trends. Report no. FHWA-JPO-24-145. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2024. https://rosap.ntl.bts.gov/view/dot/78521.
Grahn, Rick, et al. Federal Highway Administration (FHWA) Connected and Automated Vehicles (CAV) Analysis, Modeling, and Simulation (AMS) Program: Connected, Automated, and Electric: Modeling Traffic and Traveler Choice Considering the Three Mega-Trends. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2024, Report no. FHWA-JPO-24-145, ROSA P. https://rosap.ntl.bts.gov/view/dot/78521.
The rapid development and deployment of traveler connectivity, automated vehicle (AV), and electric vehicle (EV) technologies are changing the way people use and interact with the transportation system. These behavioral shifts are impacting the accuracy of standard AMS tools due to more complex decision-making processes, new mobility service models, and new interactions with traditional transportation infrastructure. This analysis aims to identify current and potential future behavior changes resulting from traveler connectivity, AVs, and EVs in isolation and when operating together in both cooperative and conflicting settings. Such findings will then be used to identify high-impact future research directions related to the integration of changing travel behaviors into AMS tools and frameworks to model transportation systems in the mega-trend era.
Automated vehicle (AV) technologies promise numerous benefits to highway capacity and stability through improved reaction times and optimized decision
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Grahn, R., Wang, P., Asare, S., & Wunderlich, K. (2024). Federal Highway Administration (FHWA) Connected and Automated Vehicles (CAV) Analysis, Modeling, and Simulation (AMS) Program: Connected, Automated, and Electric: Modeling Traffic and Traveler Choice Considering the Three Mega-Trends (Report No. FHWA-JPO-24-145). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/78521
Grahn, Rick, Peiwei Wang, Sampson Asare, and Karl Wunderlich. Federal Highway Administration (FHWA) Connected and Automated Vehicles (CAV) Analysis, Modeling, and Simulation (AMS) Program: Connected, Automated, and Electric: Modeling Traffic and Traveler Choice Considering the Three Mega-Trends. Report no. FHWA-JPO-24-145. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2024. https://rosap.ntl.bts.gov/view/dot/78521.
Grahn, Rick, et al. Federal Highway Administration (FHWA) Connected and Automated Vehicles (CAV) Analysis, Modeling, and Simulation (AMS) Program: Connected, Automated, and Electric: Modeling Traffic and Traveler Choice Considering the Three Mega-Trends. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2024, Report no. FHWA-JPO-24-145, ROSA P. https://rosap.ntl.bts.gov/view/dot/78521.
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