TY - GEN
T1 - How Autonomous Vehicles May Affect Vehicle Emissions on Motorways
AU - Papantoniou, Panagiotis
AU - Kalliga, V.
AU - Antoniou, Constantinos
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Τhe objective of the present research is to investigate the vehicle emissions that may be produced in mixed traffic conditions of autonomous vehicles and human drivers on motorways. For this purpose, simulation scenarios will be developed in a specific part of Attiki Odos motorway, a modern motorway extending along 70 km, which constitutes the ring road of the greater metropolitan area of Athens and the backbone of the road network of the whole Attica prefecture. Attiki Odos is an urban motorway, with two separate directional carriageways, each consisting of 3 lanes and an emergency lane. For the purpose of the present research, peak hour traffic demand is estimated from 7:00 to 9:00, while both congested, as well as uncongested conditions will be simulated. To achieve this objective, five simulation scenarios are developed, including different percentages of automated and human driven vehicles (0%, 25%, 50%, 75% and 100% of AVs) while NOx and CO emissions are investigated in each scenario. Results indicate that Autonomous Vehicles have the potential to increase the emissions on the motorway. Additionally, the specific increase of emissions is estimated in all different scenarios of autonomous vehicles’ percentages in the mixed traffic scenarios.
AB - Τhe objective of the present research is to investigate the vehicle emissions that may be produced in mixed traffic conditions of autonomous vehicles and human drivers on motorways. For this purpose, simulation scenarios will be developed in a specific part of Attiki Odos motorway, a modern motorway extending along 70 km, which constitutes the ring road of the greater metropolitan area of Athens and the backbone of the road network of the whole Attica prefecture. Attiki Odos is an urban motorway, with two separate directional carriageways, each consisting of 3 lanes and an emergency lane. For the purpose of the present research, peak hour traffic demand is estimated from 7:00 to 9:00, while both congested, as well as uncongested conditions will be simulated. To achieve this objective, five simulation scenarios are developed, including different percentages of automated and human driven vehicles (0%, 25%, 50%, 75% and 100% of AVs) while NOx and CO emissions are investigated in each scenario. Results indicate that Autonomous Vehicles have the potential to increase the emissions on the motorway. Additionally, the specific increase of emissions is estimated in all different scenarios of autonomous vehicles’ percentages in the mixed traffic scenarios.
KW - Autonomous vehicles
KW - Emissions
KW - Motorway
KW - Traffic simulation
UR - http://www.scopus.com/inward/record.url?scp=85096423783&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-61075-3_29
DO - 10.1007/978-3-030-61075-3_29
M3 - Conference contribution
AN - SCOPUS:85096423783
SN - 9783030610746
T3 - Advances in Intelligent Systems and Computing
SP - 296
EP - 304
BT - Advances in Mobility-as-a-Service Systems - Proceedings of 5th Conference on Sustainable Urban Mobility, Virtual CSUM 2020
A2 - Nathanail, Eftihia G.
A2 - Adamos, Giannis
A2 - Karakikes, Ioannis
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th Conference on Sustainable Urban Mobility, CSUM 2020
Y2 - 17 June 2020 through 19 June 2020
ER -