Simulation-Based Impact of Connected Vehicles in Platooning Mode on Travel Time, Emissions and Fuel Consumption

被引：7

作者：

Validi, Aso ^{[1
]}

Olaverri-Monreal, Cristina ^{[1
]}

机构：

[1] Johannes Kepler Univ Linz, Chair Sustainable Transport Logist 4 0, Linz, Austria

来源：

2021 32ND IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) | 2021年

关键词：

D O I：

10.1109/IV48863.2021.9575899

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Several approaches have been presented during the last decades to reduce carbon pollution from transportation. One example is the use of platooning mode. This paper considers data obtained from daily trips to investigate the impact of platooning on travel time, emissions of CO2, CO, NOx and HC and fuel consumption on a road network in Upper Austria. For this purpose, we studied fuel combustion-based engines relying on the extension of the 3DCoAutoSim simulation platform. The obtained results showed that the platooning mode not only increased driving efficiency but also decreased the total emissions by reducing fuel consumption.

引用

页码：1150 / 1155

页数：6

共 19 条

[1]

Alam A. A., 2010, 2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC 2010), P306, DOI 10.1109/ITSC.2010.5625054

[2]

Artal-Villa L., 2019, P WORLDCIST 2019 CHA

[3]

Behrisch M., 2011, PROC 3 INT C ADV SYS, P63

[4] Microscopic Driver-Centric Simulator: Linking Unity3D and SUMO [J].

Biurrun-Quel, Carlos ;

Serrano-Arriezu, Luis ;

Olaverri-Monreal, Cristina .

RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, 2017, 569 :851-860

[5]

Edenhofer O., 2014, REPORT INTERGOVERNME

[6]

Gonçalves J, 2014, 2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), P2596, DOI 10.1109/ITSC.2014.6958106

[7]

Hussein A, 2018, IEEE INT C INTELL TR, P3014, DOI 10.1109/ITSC.2018.8569512

[8] Boosting Algorithms for Delivery Time Prediction in Transportation Logistics [J].

Khiari, Jihed ;

Olaverri-Monreal, Cristina .

20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2020), 2020, :251-258

[9]

Liu Y., 2020, MOBILE DELIVERY ROBO

[10]

Michaeler F, 2017, IEEE INT VEH SYM, P999, DOI 10.1109/IVS.2017.7995845

← 1 2 →