Page 72 - ASME DSCC 2015 Program

Technical Program

Intelligent Vehicle fuel Saving Technologies: Comparing Three Primary
ConTRIBuTED SESSIon
1-17-1 fA6 Intelligent Transportation Systems Categories of Methods
Emerson Burkhart B 10:00am–12:00pm Contributed regular paper. DSCC2015-9869
Danielle fredette, Junbo Jing, umit ozguner, The Ohio State University,
Session Chair: Swaroop V. Darbha, Texas A & M University Columbus, OH, United States
Session Co-Chair: fengjun Yan, McMaster University
In recent years, numerous control algorithms for connected and automated
vehicles have emerged which focus on modifying driving strategy in order
Human-aware Autonomous Control for Cooperative Adaptive Cruise
to reduce fuel usage. Referred to as ``dynamic eco-driving,’’ these technol-
Control (CACC) Systems
ogies have realized the possibility for additional fuel savings by utilizing
Contributed regular paper. DSCC2015-9625
information technologies rather than mechanics. The exact methodologies,
xujie Wang, yue Wang, Clemson University, Clemson, SC, United States
however, are diverse. Three primary categories of dynamic eco-driving
This paper discusses the design of a human-aware cooperative adaptive methodologies are identified and described: 1) ad-hoc methods, designed
cruise control (CACC) system that (i) takes into account driver comfort in for the purpose of saving fuel but not considering optimality, 2) classical
autonomous cruise control, and (ii) provides assistive corrections to avoid optimization methods, which use fuel usage modeling to solve an optimal
driver errors. To incorporate driver characteristics into system controller control problem forwards in time, whether numerically or analytically, and 3)
design, two self-learning algorithms are used to estimate driver’s preferred optimization by dynamic programming, in which a fuel usage-oriented cost
time headway. We then develop a human-like blending control for CACC function is minimized but solved backwards in time in discrete steps. Rep-
based on a model predictive control (MPC)-type method, which integrates resentatives from each of these categories are studied and implemented in
the driver comfort, traffic efficiency, and fuel economy criteria. Furthermore, simulation for comparison. Advantages and disadvantages of each relative
a driving assistance controller is developed to help human driver to maintain to multiple performance measures are discussed.
string stability in platoon. Simulation results show that (i) the human- like A RISE Controller for an Electric Convoy
CACC design can significantly improve driving experience, and (ii) with the Contributed regular paper. DSCC2015-9944
help of the assistive controller, string stability is satisfied for both exclusively
Matthew feemster, United States Naval Academy, Annapolis, MD, United
autonomous CACC and when the CACC switches to manual driving in a
States
platoon.
In this paper, the robust integral of the sign of the error (RISE) control meth-
A Detection and Warning System for unintended Acceleration
odology is employed to promote inter-spacing distance regulation within
Contributed regular paper. DSCC2015-9715
a leader-follower convoy system by directly compensating for the preced-
Hongtao Yu, Reza langari, Texas A&M University, College Station, TX, ing vehicle’s velocity behavior. The RISE technique was considered since
United States it offers the advantage of requiring less restriction/knowledge on/of the
This paper presents a data-driven method to detect vehicle problems preceding vehicle’s behavior (e.g., structure and/or frequency). Furthermore,
related to unintended acceleration (UA). A diagnostic system is formulated the RISE algorithm is combined with a headway distancing method to aid
by analyzing several specific vehicle events such as acceleration peaks and in promoting convoy stability and as a result requires only measurement of
generating corresponding mathematical models. The diagnostic algorithm the preceding vehicle’s position signal. Simulation results are provided for
was implemented in the Simulink/dSpace environment for validation. Major an electrically actuated convoy system that demonstrates the efficacy of the
factors that affect vehicles’ acceleration (e.g., changes of road incline grades proposed method.
and gear shifting) were included in the simulation. UA errors were added
Estimation of location and orientation from Range Measurements
randomly when human drivers drove virtual cars. The simulation results
Contributed regular paper. DSCC2015-9972
show that the algorithm succeeds in detecting abnormal acceleration.
Sai Krishna Kanth Hari, Texas A&M, TX, United States, Swaroop V. Darbha,
Texas A & M University, Southbury, CT, United States
Estimation of Location and Orientation from Range Measurements

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