Microscopic Modeling of the Effects of Autonomous Vehicles on Motorway Performance
Mesionis, George ; Brackstone, Mark and Gravett, Natalie LU
(2020)
In Transportation Research Record
2674(11).
p.697-707
- Abstract
- Autonomous vehicles (AVs) have been the subject of extensive research in recent years and are expected to completely transform the operation of transport networks and revolutionize the automotive industry in the coming decades. Modeling detailed interactions among vehicles with varying levels of penetration rates is essential for evaluating the potential effects. One such investigation is being performed within the ‘HumanDrive’ Project in the U.K. This work has required the development of a behavioral model that incorporates microscopic level interactions and has been based on a pre-existing adaptive cruise control and lane-changing model that has been adapted to better replicate the limitations of AVs and allow the investigation of... (More)
- Autonomous vehicles (AVs) have been the subject of extensive research in recent years and are expected to completely transform the operation of transport networks and revolutionize the automotive industry in the coming decades. Modeling detailed interactions among vehicles with varying levels of penetration rates is essential for evaluating the potential effects. One such investigation is being performed within the ‘HumanDrive’ Project in the U.K. This work has required the development of a behavioral model that incorporates microscopic level interactions and has been based on a pre-existing adaptive cruise control and lane-changing model that has been adapted to better replicate the limitations of AVs and allow the investigation of differing levels of intelligence or assertiveness. The model has been implemented on the M1 Motorway near Sheffield in the U.K. This has allowed the investigation of the effects of AVs on the operation of a real network under various traffic conditions where the overall effects may be revealed, both as advantages to AV drivers, and potentially disadvantages to non-AV traffic. Additionally, it has been possible to examine how these affect junction operations and net emissions. Preliminary results have allowed us to quantify the positive effects of AVs which increase with the penetration. However, it is clear that there are points of inflection where benefits start to slow. It is at these (high) penetration rates that initial operational assumptions may become increasingly stretched and additional infrastructure and cooperative systems are likely to have to become prevalent. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2efe3786-55f7-48ed-8ea1-cce6eef6745d
- author
- Mesionis, George
; Brackstone, Mark
and Gravett, Natalie
LU
- publishing date
- 2020-09-10
- type
- Contribution to journal
- publication status
- published
- in
- Transportation Research Record
- volume
- 2674
- issue
- 11
- pages
- 697 - 707
- publisher
- SAGE Publications
- external identifiers
-
- scopus:85096194827
- ISSN
- 0361-1981
- DOI
- 10.1177/0361198120949243
- project
- HumanDrive
- language
- English
- LU publication?
- no
- id
- 2efe3786-55f7-48ed-8ea1-cce6eef6745d
- date added to LUP
- 2025-09-16 10:24:17
- date last changed
- 2025-09-17 12:19:47
@article{2efe3786-55f7-48ed-8ea1-cce6eef6745d,
abstract = {{Autonomous vehicles (AVs) have been the subject of extensive research in recent years and are expected to completely transform the operation of transport networks and revolutionize the automotive industry in the coming decades. Modeling detailed interactions among vehicles with varying levels of penetration rates is essential for evaluating the potential effects. One such investigation is being performed within the ‘HumanDrive’ Project in the U.K. This work has required the development of a behavioral model that incorporates microscopic level interactions and has been based on a pre-existing adaptive cruise control and lane-changing model that has been adapted to better replicate the limitations of AVs and allow the investigation of differing levels of intelligence or assertiveness. The model has been implemented on the M1 Motorway near Sheffield in the U.K. This has allowed the investigation of the effects of AVs on the operation of a real network under various traffic conditions where the overall effects may be revealed, both as advantages to AV drivers, and potentially disadvantages to non-AV traffic. Additionally, it has been possible to examine how these affect junction operations and net emissions. Preliminary results have allowed us to quantify the positive effects of AVs which increase with the penetration. However, it is clear that there are points of inflection where benefits start to slow. It is at these (high) penetration rates that initial operational assumptions may become increasingly stretched and additional infrastructure and cooperative systems are likely to have to become prevalent.}},
author = {{Mesionis, George and Brackstone, Mark and Gravett, Natalie}},
issn = {{0361-1981}},
language = {{eng}},
month = {{09}},
number = {{11}},
pages = {{697--707}},
publisher = {{SAGE Publications}},
series = {{Transportation Research Record}},
title = {{Microscopic Modeling of the Effects of Autonomous Vehicles on Motorway Performance}},
url = {{http://dx.doi.org/10.1177/0361198120949243}},
doi = {{10.1177/0361198120949243}},
volume = {{2674}},
year = {{2020}},
}