NDLI: Analysing driving efficiency of mandatory lane change decision for autonomous vehicles

Content Provider	IET Digital Library
Author	Cao, Peng Xu, Zhandong Fan, Qiaochu Liu, Xiaobo
Abstract	Mandatory lane change (MLC) is a critical step in formulating global route of an autonomous vehicle on the urban road network. Improper MLC decisions on arterial roads could jeopardise efficiency (travel cost) and reliability (possibility of failed lane change). However, the existing research studies seldom investigate the optimal MLC decision at the planning level to maximise the reliability-based driving efficiency. This research aims at addressing two core strategic decision variables (MLC decision point on the road and maximum waiting time before giving up MLC). A series of simulation experiments for various scenarios are conducted for an arterial road to reveal their relationship. The results indicate that both identified decision variables inherently affect travel time spent on this road and the rate of failed MLCs, and a trade-off exists between arterial travel time and the rate of failed MLCs. Based on the simulation analysis, an analytical lane-level link performance (LLP) function is formulated to assess the impacts of MLC decisions on driving efficiency. The analysis validates that the optimal MLC strategic decision (MLC decision position and maximum waiting time) can be determined by maximising LLP function. It is promising to apply the proposed LLP function in lane-level routing algorithm in the future.
Starting Page	506
Ending Page	514
Page Count	9
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 3, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5253
Journal	IET Intelligent Transport Systems
Publisher Date	2018-10-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Analytical Lane-level Link Performance Function Arterial Road Arterial Travel Time Autonomous Vehicle Combinatorial Mathematics Core Strategic Decision Variables Critical Step Driving Efficiency Existing Research Studies Failed Lane Change Failed MLCs Global Route Improper MLC Decisions Lane-level Routing Algorithm Mandatory Lane Change Decision Maximum Waiting Time MLC Decision Point MLC Decision Position Optimal MLC Decision Optimal MLC Strategic Decision Optimisation Technique Planning Level Reliability Reliability-based Road Traffic Simulation Analysis Simulation Experiments Statistics System Theory Application in Transportation Traffic Engineering Computing Travel Cost Urban Road Network
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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