SAV Operations on a Bus Line Corridor: Travel Demand, Service Frequency, and Vehicle Size

Before shared automated vehicles (SAVs) can be widely adopted, they are anticipated to be implemented commercially in confined regions or fixed routes where the benefits of automation can be realized. SAVs have the potential to operate in a traditional transit corridor, replacing conventional transit vehicles, and have frequent interactions with riders and other vehicles sharing the same right of way. This paper microsimulates SAVs’ operation on a 6.5-mile corridor to understand how vehicle size and attributes of such SAV-based transit affect traffic, transit riders, and system costs. The SUMO (Simulation of Urban MObility) platform is employed to model microscopic interactions among SAVs, transit passengers, and other traffic. Results show that the use of smaller, but more frequent, SAVs leads to reduced passenger waiting times but increased vehicle travel times. More frequent services of smaller SAVs do not, in general, significantly affect general traffic due to shorter dwell times. Overall, using smaller SAVs instead of the large 40-seat SAVs can reduce system costs by up to 4% while also reducing passenger waiting times, under various demand levels and passenger loading factors. However, the use of 5-seat SAVs does not always have the lowest system costs.

[1]  Michael Hyland,et al.  Dynamic autonomous vehicle fleet operations: Optimization-based strategies to assign AVs to immediate traveler demand requests , 2018, Transportation Research Part C: Emerging Technologies.

[2]  Kara M. Kockelman,et al.  Operations of a Shared, Autonomous Electric Vehicle Fleet: Implications of Vehicle & Charging Infrastructure Decisions , 2016 .

[3]  Jinhua Zhao,et al.  Transit-oriented autonomous vehicle operation with integrated demand-supply interaction , 2018, Transportation Research Part C: Emerging Technologies.

[4]  Richard A. Retting,et al.  Influence of Traffic Signal Timing on Red-Light Running and Potential Vehicle Conflicts at Urban Intersections , 1997 .

[5]  Stefan Krauss,et al.  MICROSCOPIC MODELING OF TRAFFIC FLOW: INVESTIGATION OF COLLISION FREE VEHICLE DYNAMICS. , 1998 .

[6]  Daniel J. Fagnant,et al.  Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations , 2015 .

[7]  Susan Shaheen,et al.  Automated Vehicles, On-Demand Mobility, and Environmental Impacts , 2015 .

[8]  Xiaoyu Guo,et al.  Performance Analyses of Information-Based Managed Lane Choice Decisions in a Connected Vehicle Environment , 2020 .

[9]  Louis A. Merlin Comparing Automated Shared Taxis and Conventional Bus Transit for a Small City , 2017 .

[10]  Kara M. Kockelman,et al.  Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation , 2016 .

[11]  Kara M. Kockelman,et al.  Use of Shared Automated Vehicles for First-Mile Last-Mile Service: Micro-Simulation of Rail-Transit Connections in Austin, Texas , 2020 .

[12]  H. M. Abdul Aziz,et al.  Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation , 2018, International Conference on Transportation and Development 2018.

[13]  Jeongseok Seo,et al.  Toward a Comfortable Driving Experience for a Self-Driving Shuttle Bus , 2019, Electronics.

[14]  Joschka Bischoff,et al.  CONGESTION EFFECTS OF AUTONOMOUS TAXI FLEETS , 2018, Transport.

[15]  Jianshan Zhou,et al.  Modeling chain collisions in vehicular networks with variable penetration rates , 2016 .

[16]  Daniel Krajzewicz,et al.  Recent Development and Applications of SUMO - Simulation of Urban MObility , 2012 .

[17]  Andreas A. Malikopoulos,et al.  Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems , 2019, IEEE Intelligent Transportation Systems Magazine.

[18]  Long T. Truong,et al.  Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures , 2018 .

[19]  Yong Wang,et al.  Evaluating the Impacts of Bus Stop Design and Bus Dwelling on Operations of Multitype Road Users , 2018, Journal of Advanced Transportation.

[20]  Pitu B. Mirchandani,et al.  A REAL-TIME TRAFFIC SIGNAL CONTROL SYSTEM: ARCHITECTURE, ALGORITHMS, AND ANALYSIS , 2001 .

[21]  Kay W. Axhausen,et al.  Cost-based analysis of autonomous mobility services , 2017 .

[22]  Khaled Hamad,et al.  Quantifying Impacts of Connected and Autonomous Vehicles on Traffic Operation using Micro-simulation in Dubai, UAE , 2019, VEHITS.

[23]  Kara M. Kockelman,et al.  The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-Based Model Scenarios , 2014 .

[24]  Yu Shen,et al.  Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore , 2018, Transportation Research Part A: Policy and Practice.

[25]  Jakob Erdmann,et al.  SUMO’s Lane-Changing Model , 2015 .

[26]  Felix Becker,et al.  Cost-based analysis of autonomous mobility services , 2017 .

[27]  Kara M. Kockelman,et al.  Operations of Shared Autonomous Vehicle Fleet for Austin, Texas, Market , 2015 .

[28]  Joseph Y. J. Chow,et al.  Spectrum of Public Transit Operations: From Fixed Route to Microtransit , 2020 .

[29]  Lalita Sen,et al.  Human Transit: How Clearer Thinking about Public Transit Can Enrich Our Communities and Our Lives , 2014 .

[30]  Jarrett Walker,et al.  Human Transit: How Clearer Thinking About Public Transit Can Enrich Our Communities and Our Lives , 2011 .

[31]  Emilio Frazzoli,et al.  Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore , 2014 .

[32]  Susan Shaheen,et al.  Shared Automated Vehicles: Review of Business Models , 2017 .

[33]  Hani S. Mahmassani,et al.  Joint design of multimodal transit networks and shared autonomous mobility fleets , 2020, Transportation Research Part C: Emerging Technologies.

[34]  Hani S. Mahmassani,et al.  Joint Design of Multimodal Transit Networks and Shared Autonomous Mobility Fleets , 2019 .

[35]  K. Kockelman,et al.  Management of a Shared Autonomous Electric Vehicle Fleet: Implications of Pricing Schemes , 2016 .

[36]  V. Thamizh Arasan,et al.  Influence of Bus Stops on Flow Characteristics of Mixed Traffic , 2005 .

[37]  Tong Chen,et al.  Management of a shared, autonomous, electric vehicle fleet : vehicle choice, charging infrastructure & pricing strategies , 2015 .

[38]  S. Jara-Díaz,et al.  Urban Bus Transport: Open All Doors for Boarding , 2013 .

[39]  Cliff B. Jones,et al.  A tracking system , 1998 .

[40]  Kara M. Kockelman,et al.  Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation , 2017, Transportation.

[41]  Lin He,et al.  Challenges and Innovative Solutions in Urban Rail Transit Network Operations and Management: China’s Guangzhou Metro Experience , 2016 .