Skip to Main Content

Welcome to the second issue of Transport journal for the year 2024, a fascinating publication for professionals and enthusiasts in the field of transportation engineering. For me, having the opportunity to write an editorial for this issue is both an honor and a source of tension. In university, I mainly engage in research related to the field of rail transit, so when I saw the rich topics covered in this issue, I couldn't help but worry that it would be difficult for me to introduce them ‘accurately’ and ‘professionally’. But at the same time, I tell myself that we are in an era of rapid technological development, especially in the realm of transportation engineering, where new breakthroughs and innovations may occur daily. Maybe I can transform myself into an observer and recorder, capturing these important moments from a personal perspective and sharing them with our readers. Staying informed about the latest developments is crucial for maintaining competitiveness in this rapidly evolving world, and Transport is your ideal source for such information.

In this issue, we focus on the latest trends and technologies in transportation engineering. We provide in-depth analyses of these complex systems to help you understand how these technologies impact our world and daily life. Through these carefully selected articles, we aim to help you stay ahead in this challenging and opportunity-rich industry. Whether you are a seasoned expert or a newcomer, we believe this issue will offer valuable insights and inspiration.

Our exploration begins with Pourkhani and Kordani (2024) addressing the safety issue of high collision rates on horizontal curves, their study introduces an interesting nonlinear approach to the superelevation attainment function (SAF). Extensive simulations and various scenario analyses reveal the potential effectiveness of nonlinear approaches (like parabolic functions) in significantly reducing lateral acceleration, especially at high superelevations and design speeds. This research is important for enhancing the safety of road design and vehicle control.

Considering the dynamic interactions between different monitoring points is vital in traffic monitoring and management. In the second article, Zhang et al. (2024a) challenge conventional methods by adopting deep learning techniques to propose a multisource spatio-temporal hybrid dilated graph convolutional network (GCN). This model, leveraging the richness of proximity information and dynamic spatial and nonlinear temporal correlations, sets a standard for traffic speed prediction. This work shows the potential of artificial intelligence and machine learning in managing complex traffic networks.

To delve into the complex relationship between land use patterns and travel behavior, the review by Jameel et al. (2024) traces back to the 1960s, categorizing studies based on density measurements and travel behavior variables. This work not only highlights the evolving trends of urban planning and its impact on mobility, but also points out critical gaps in the knowledge domain.

In today's world, as air traffic continues to grow, studying the compressive capacity of pavement structures under extreme conditions is crucial for the development of modern transportation infrastructure. Zhang et al. (2024b) present a detailed study on this critical subject. Through tests on various material and structural combinations, they provide valuable insights for maintaining functional and safe runways under heavy aircraft loads, which is important for modern transportation infrastructure.

While electric vehicles (EVs) have numerous advantages, their often-overlooked aspects (such as near silence) can pose potential risks to vulnerable road users. Study by Siamidoudaran et al. (2024) explores the potential risks this characteristic poses to vulnerable road users and offers thought-provoking views on safety patterns related to EVs. Their research, using an optimized classification tree model, assesses the severity of accidents related to EVs. It provides valuable insights for urban planners, vehicle designers, and policymakers to mitigate these risks, especially in lower-speed urban environments.

In summary, this issue encapsulates the dynamism and multifaceted nature of transportation engineering. It makes a significant contribution to the field's discourse, offering both academic and practical perspectives. These studies not only promote further research but also guide policy-making and on-the-ground implementation. The field of transportation engineering is continually evolving, requiring ongoing professional growth and adjustment. As professionals in transportation, we face the challenge of embracing change and contributing to shaping future modes of transport, ensuring safety, efficiency, and sustainable development.

Jameel
AK
,
Jassim
NW
and
Abdulwahab
AM
(
2024
)
Land use variables affecting travel behaviour: a review
.
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
90
100
, .
Pourkhani
H
and
Kordani
AA
(
2024
)
Improving superelevation in spiral transitions based on lateral acceleration rate
.
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
65
79
, .
Siamidoudaran
M
,
Siamidodaran
M
and
Konuralp
H
(
2024
)
Environmentally friendly electric vehicles: a silent menace to vulnerable road users?
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
114
126
, .
Zhang
L
,
Guo
Q
,
Li
D
, et al.
(
2024a
)
Forecasting traffic speed using spatio-temporal hybrid dilated graph convolutional network
.
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
80
89
, .
Zhang
J
,
Xu
W
,
Gao
P
,
Weng
X
and
Su
L
(
2024b
)
Full-scale test on emergency pavement repair under aeroplane loading
.
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
101
113
, .

Data & Figures

Contents

Supplements

References

Jameel
AK
,
Jassim
NW
and
Abdulwahab
AM
(
2024
)
Land use variables affecting travel behaviour: a review
.
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
90
100
, .
Pourkhani
H
and
Kordani
AA
(
2024
)
Improving superelevation in spiral transitions based on lateral acceleration rate
.
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
65
79
, .
Siamidoudaran
M
,
Siamidodaran
M
and
Konuralp
H
(
2024
)
Environmentally friendly electric vehicles: a silent menace to vulnerable road users?
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
114
126
, .
Zhang
L
,
Guo
Q
,
Li
D
, et al.
(
2024a
)
Forecasting traffic speed using spatio-temporal hybrid dilated graph convolutional network
.
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
80
89
, .
Zhang
J
,
Xu
W
,
Gao
P
,
Weng
X
and
Su
L
(
2024b
)
Full-scale test on emergency pavement repair under aeroplane loading
.
Proceedings of the Institution of Civil Engineers – Transport
177
(
2
):
101
113
, .

Languages

or Create an Account

Close Modal
Close Modal

Gift article access

As a benefit of your subscription, you can share temporary access to restricted articles.

Each link will stop working after 30 days or 10 uses. You may create up to 10 links in a 30 day period.

Please sign in to your personal account to gift article access.

Register

Gift article access

As a benefit of your subscription, you can share temporary access to restricted articles.

Each link will stop working after 30 days or 10 uses. You may create up to 10 links in a 30 day period.

Gift articles remaining: --

Gift article access

Each link will stop working after 30 days or 10 uses. You may create up to 10 links in a 30 day period.

Gift articles remaining: --

Gift article access

As a benefit of your subscription, you can share temporary access to restricted articles.

Each link will stop working after 30 days or 10 uses.

You have reached the limit of 10 links within a 30 day period.