BATAAN HEROES’ COLLEGE
Bachelor of Science in Civil Engineering
PRINCIPLES OF TRANSPORTATION ENGINEERING
JOURNAL ARTICLE
SUBMITTED TO:
ENGR. JETHRO NOEL GALLARDO
SUBMITTED BY:
MENDOZA, ALESANDRA CAMILLA
MONSALES, MARK JUN
NUGUID, MARIANNE JANE
PAULO, EDITHA MARIZ
PEREZ, MICHAELA NORMALYN
SAMANIEGO, ROMMEL ANGELO
SANTOS, GENELYN
SINSAY, ROWELL
TABUGAN, MHAISY JOYCE
JANUARY 07, 2023
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TABLE OF CONTENTS
I.
II.
III.
IV.
V.
VI.
VII.
Objectives ………………………………………………………………… 1
Research Gap ……………………………………………………………... 1
Methodology ……………………………………………………………… 1
Results and discussion ……………………………………………………. 2
Conclusion …………………………………………………………………2
Recommendation …………………………………………….
References …………………………………………………….
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Title:
Authors:
Year:
I.
A novel traffic conflict risk measure considering the effect of vehicle weight
Y. Wang, H. Tu, N.N. Sze et al.
2021
OBJECTIVES
Vehicle weight determines the force of impact in a collision and, therefore,
the risk of injury to the occupants of the vehicle. It is common for heavy vehicles
to be involved in severe crashes overall despite the fact that they comprise a
relatively small proportion of all registered motor vehicles. However, the existing
traffic conflict risk prediction and assessing models rarely take into account vehicle
weight due to the lack of the needed information. Moreover, despite the fact that
collisions are the most significant indication of traffic conflict, it takes a long time
to gather adequate data for statistical inference given how uncommon and
unexpected collisions are. It is essential to develop the adequate traffic safety risk
indicators that can reduce the potential conflict risk, especially when considering
the real-time traffic characteristics, in order to evaluate the efficiency of engineering
and traffic regulations in improving the safety performance. As a result, in several
circumstances with regards to traffic volume and traffic composition such as the
proportion of heavy vehicles in the traffic stream, conflict risk prediction between
the methods with and without integrating the vehicle weight are compared. The aim
of this study is too suggestive the corrective engineering measures, such as variable
message signs, speed limits, and ramp metering, which can reduce the risks of realtime accidents on highways, particularly in undesirable weather and environmental
conditions, with due consideration of vehicle composition and crash safety of
vehicles.
II.
RESEARCH GAP
The portion of a heavy vehicle in the traffic stream is conclusively correlated
with the overall crash density and crash ferocity. It is allocated to characteristics as
well as to the road environment, vehicle dimensions, and driving tests. The Weighin-Motion (WIM), a method of a vehicle sensing that isn't disruptive and can
identify and keep track of a moving vehicle's features. WIM can quantify the
characteristics such as vehicle speed, gross employing a dynamic tire pressure
sensor implanted beneath the pavement, vehicle weight, and the number of axles of
passing cars surface. In addition, a WIM technology is broadly useful for the
operation and preservation of a transport infrastructures together with motorways,
bridges, and tunnels. WIM is efficient in estimating the vehicular speed and vehicle
weight in a non-disruptive method using a dynamic tire pressure sensor installed
beneath the alley surface. However, based on the related literature that we have
assessed, we have determined that there are still questions, complications, and gaps
that need to be resolve. In particular, we want to seek and examine the novel traffic
conflict risk measure considering the effect of vehicle weight.
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III.
METHODOLOGY
The method that used in this study is a novel risk measure for the conclusion
of the traffic conflict risk map, whereas the impact of vehicle weight is proposed
with the benefits of diversified traffic flow characteristics and also the vehicle
weight information that applied a Weigh-in-Motion (WIM) technique. On the other
hand, the Weight- incorporated risk level (WRL) and weight integrated risk level
(WIRL) are determined to assess the traffic conflict risk at an immediate and over
a definite time period by expansion the conventional traffic conflict risk measures
as well as the time-to-collision (TTC) and altered potential collision energy (PCE).
In addition, the microscopic traffic simulation model is used to evaluate the risk
map for traffic conflicts along a portion of highway with a partial lane closure.
IV.
RESULTS AND DISCUSSION
In this study, the temporal distributions of a traffic conflict even with and
without considering the vehicle weight at a particular area that have WIM sensors
are calculated. A microscopic traffic system model utilizing the cellular automaton
(CA) method is used to model the traffic conflict risk map over a highway segment.
In specific, a bottleneck started by a limited lane closure which is frequent by reason
of recurrent (in other words, highway maintenance work) and non- recurrent (means
traffic incidents) events is simulated. Moreover, the estimation outcome of the risk
of possible traffic conflict when vehicle weight is contemplated are cohered to those
pragmatic testimonies, both based on distinct information at a precise location with
WIM sensors installed and also, the space- time risk map that found on the
microscopic traffic simulation model, as correlated in using a standard risk
indicator.
V.
CONCLUSION
Analyzing the study, the time-to-collision (TTC) has been determined as an
effective risk indicator. It can recognize as useful and applicable for the real- time
conflict risk prediction and analyzation. On the other hand, the vehicle weight
which is inevitable to the energy dispersion in a vehicle collision and crash outcome
is infrequently considered in the common studies on the traffic conflict risk since it
is bounded to the accessibility of required information. Furthermore, the two novel
risk indicators which is the WRL and WIRL are consider that the vehicle weight are
proposed. Based on the extensive traffic characteristic information obtained
that using the WIM technique, the risk of potential traffic conflicts during a certain
time period is estimated. In addition, the possible traffic conflicts risk map along a
highway segment is determined using a microscopic traffic simulation model based
on CA approach since the detailed data on the vehicle type with the respect to
number of axles, vehicle weight, vehicular speed available, contrast in the traffic
flow level and traffic composition are considered in the transient distributions of
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traffic conflict risks based on time-to-collision (TTC) and the set of weight- based
indicators.
VI.
RECOMMENDATION
VIII. REFERENCE
Y. Wang, H. Tu, N.N. Sze et al. (2021). A novel traffic conflict risk measure considering the
effect of vehicle weight. Journal of Safety Research. 1-13. Retrieved from
https://doi.org/10.1016/j.jsr.2021.09.008
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