Optimal investment in driving automation: Individual vs. cooperative sensing

Mehdi Nourinejad, Sina Bahrami and Yafeng Yin

Transportation Research Part B: Methodological, 2023, vol. 174, issue C

Abstract: Connected automated vehicles (CAVs) use sensors to scan their surrounding environment in order to make safe and efficient motion decisions. The richness of a CAV’s vision depends on the configuration of on-board sensors and the ability of CAVs to share data with nearby vehicles. High-end sensors provide quality data, allowing CAVs to rely on their own sensors through individual sensing, and to become independent of other vehicles. In contrast, sensor data sharing enhances the collective vision of CAVs through cooperative sensing. This study investigates the trade-offs in the values and costs of individual versus cooperative sensing, and it proposes optimal investment strategies for short- and long-term planning. Exploiting the setting of a CAV-exclusive corridor, we propose two nonlinear programs to determine optimal investment in corridor capacity in the long-term, and to maximize social welfare in the short-term through road pricing. Capacity analysis shows disjointed investments in individual and cooperative sensing, first in the former until sensors reach a desired resolution, and then in the latter. Social welfare analysis shows travelers are granted a reward in certain settings, encouraging flows that achieve cooperative sensing. Such rewards are not observed in human-driven vehicle settings that cannot benefit from cooperative sensing.

Keywords: Connected automated vehicles; Sensor configuration; Cooperative sensing; Sensing policy (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0191261523000942
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transb:v:174:y:2023:i:c:s0191261523000942

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.trb.2023.06.001

Access Statistics for this article

Transportation Research Part B: Methodological is currently edited by Fred Mannering

More articles in Transportation Research Part B: Methodological from Elsevier
Bibliographic data for series maintained by Catherine Liu ().