Implications of the Emergence of Autonomous Vehicles and Shared Autonomous Vehicles: A Budapest Perspective

被引:6
作者
Shatanawi, Mohamad [1 ]
Meszaros, Ferenc [1 ]
机构
[1] Budapest Univ Technol & Econ, Dept Transport Technol & Econ, Muegyet Rkp 3, H-1111 Budapest, Hungary
关键词
autonomous vehicles; traffic flow; dynamic traffic assignment; macro-modeling; Visum; shared mobility; ASSIGNMENT; CONGESTION; DEMAND; POLICY;
D O I
10.3390/su141710952
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The introduction of autonomous vehicles (AVs) and shared autonomous vehicles (SAVs) is projected to enhance network performance and accessibility. The future share distribution of AV and SAV is not yet apparent, nor is which of these two future transport modes will become dominant. Therefore, this research deploys a simulation-based dynamic traffic assignment using Visum software to investigate the impact of varying the share distribution of AVs and SAVs on Budapest's network performance and consumer surplus in three projected future traffic scenarios for the years 2030 and 2050 compared to the Base scenario for 2020. The three future scenarios are presented and characterized by different penetration rates of AVs and SAVs to reflect the uncertainty in the market share of these future cars as follows: Mix-Traffic scenario for 2030, and AV-Focused and SAV-Focused scenarios for 2050. The results revealed that the emergence of AVs and SAVs would improve the overall network performance, and better performance was observed with increasing the share distribution of SAVs. Similarly, the consumer surplus increased in all future scenarios, especially with increasing the share distribution of AVs. Consequently, the advent of AVs and SAVs will improve traffic performance and increase consumer surplus, benefiting road users and authorities.
引用
收藏
页数:19
相关论文
共 44 条
[1]  
ADAC, 2018, EV MOB, P45
[2]  
Ahmed A., 2015, Integration of Real-time Traffic State Estimation and Dynamic Traffic Assignment with Applications to Advanced Traveller Information Systems," phd
[3]  
[Anonymous], 2011, DYNAMIC TRAFFIC ASSI
[4]  
Autovista Group, STAT AUT LEG EUR
[5]   The sustainable mobility paradigm [J].
Banister, David .
TRANSPORT POLICY, 2008, 15 (02) :73-80
[6]   Forecasting Americans' long-term adoption of connected and autonomous vehicle technologies [J].
Bansal, Prateek ;
Kockelman, Kara M. .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2017, 95 :49-63
[7]  
Berki Z, 2015, 2015 INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), P356, DOI 10.1109/MTITS.2015.7223279
[8]   Management of a Shared Autonomous Electric Vehicle Fleet Implications of Pricing Schemes [J].
Chen, T. Donna ;
Kockelman, Kara M. .
TRANSPORTATION RESEARCH RECORD, 2016, (2572) :37-46
[9]   Carsharing's life-cycle impacts on energy use and greenhouse gas emissions [J].
Chen, T. Donna ;
Kockelman, Kara M. .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2016, 47 :276-284
[10]   Optimal assignment for the single-household shared autonomous vehicle problem [J].
Cokyasar, Taner ;
Larson, Jeffrey .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2020, 141 :98-115