Recent Articles

Open access

ISSN: 2046-0430
CN: CN31-2204/U
e-ISSN: 2046-0449

A dictionary-based Bayesian approach to optimizing left-turn restriction locations in grid networks

Left-turn movements at signalized intersections pose significant safety risks to drivers and raise efficiency concerns for traffic operations in urban networks. Restricting left-turn movements at selected...

Are you ready? Understanding the intention to use highly automated on-demand vehicles while considering technology readiness and environmental drive

Highly automated vehicles represent a potentially disruptive technology, with uncertainties about their successful integration into existing transport systems. This study explores psychological factors...

Adaptive emergency evacuation routing: a graph-based approach

Emergency evacuation plays a vital role in disaster management operations. The existing solutions for planning and routing emergency evacuations rely on preplanning based on prior information and lack...

Who is more willing to use shared autonomous vehicles in first-mile-last-mile? A heterogeneity study on carbon incentive policy from China

Encouraging and motivating travelers to opt for more efficient and low-carbon last-mile transportation options is a crucial strategy for increasing the share of public transportation. This study aims...

Enhanced in-situ measurement and evaluation methods for subgrade modulus utilizing falling weight deflectometer

Falling weight deflectometer (FWD) tests have gained increasing popularity in evaluating the stiffness modulus of a pavement subgrade. This paper presents an enhanced method for in-situ testing and...

Examining fine-grained commuting CO2 emission using cellular signaling data: insights from Shanghai, China

Quantifying carbon dioxide (CO2) emissions from commuting and the impact of investigating built environment are essential for urban traffic-related emission reduction. This study utilizes more than...

Roles and functions of asphalt sub-ballast in the modern maintenance of the European railways

The railway network is increasingly becoming central to socio-economic development and the decarbonisation of transport, supporting its growth in compliance with the emission reduction targets set by...

Incident duration reliability assessment using Monte-Carlo simulation and kernel density estimation of machine learning-based models

Traffic incidents are a major cause of non-recurrent congestion and delays, making accurate incident duration (ID) prediction essential for effective traffic management. While machine learning (ML)...

Pedestrian crossing behaviors at signalized intersections in Utah: factors affecting spatial and temporal violations

•Investigated temporal and spatial patterns of pedestrian signal violations.•Used multilevel regression models on 5,589 crossings at 47 sites for analysis.•Temporal analysis: Violations likely in high...

When segment anything model meets inventorying of roadway assets

Automating the identification, localization, and monitoring of roadway assets distributed widely in the roadway network is critical for the traffic management system. It can efficiently provide up-to-date...

Real-time traffic conflict prediction at signalized intersections using vehicle trajectory data and deep learning

•Uses real-time video data and deep learning for traffic conflict prediction.•Proposes a deep and cross network (DCN) model with lane-level traffic parameters.•Uses SHAP to explain the impact of dynamic...

Conflict extraction and characteristics analysis at signalized intersections using trajectory data

Potential safety problems at signalized intersections can be recognized most effectively by identifying serious traffic conflict events and analyzing them in different scenarios. However, most studies...

Deployment of public charging stations for BEVs using an agent-based modeling approach

A low utilization rate of public chargers and unmatched deployment of public charging stations (CSs) are partly attributed to inappropriate modeling of charging behavior and biased charging demand estimation....

Potential of a new warm asphalt mix by using soft asphalt and rock asphalt compound

Warm mix asphalt (WMA) has gained significant attention in the asphalt industry, traditionally dominated by Hot mix asphalt (HMA), due to its advantages in reducing energy consumption and lowering carbon...

Understanding customer preferences for autonomous delivery vehicles in instant delivery: exploring the impact of delivery and personal attributes

•Instant delivery services face several challenges, including high labor costs, low efficiency, and courier accidents.•Despite the increasing popularity of ADVs, there is a paucity of research on customer...

Event-triggered prescribed-time control for vehicular platoon systems with unknown disturbances

An event-triggered prescribed-time control scheme is proposed for vehicular platoon systems (VPSs) subject to parameter uncertainties, unknown external disturbances, and actuator saturation. By utilizing...

Learning to search for parking like a human: a deep inverse reinforcement learning approach

•Maximum entropy-based DIRL for learning parking search behavior.•High-fidelity simulation platform with 987 trajectories from Unity3D.•Hybrid simulation system integrating DIRL and traditional traffic...

Temporal dynamics of pedestrian injury severity: a seasonally constrained random parameters approach

Pedestrians are the most at-risk group in the transportation system, experiencing a troubling and persistent rise in both the frequency and proportion of fatalities over the past decade. In 2022, pedestrian...

First train schedule optimization for metro systems considering minimum adjustment cost for special event scenarios

During special events, some metro lines and stations may alter their first train schedules to an earlier time, while others remain unchanged. These adjustments can result in longer transfer waiting...

Collective accessibility impacts of public transport automation on rural areas: the case study of Mühlwald, South Tyrol

Collective autonomous vehicles (AVs) might change the accessibility of rural areas in the following decades. For instance, the operating cost savings triggered by automation could allow upgrading traditional...

Joint optimization of metro train timetable and stopping plan for the first service period: an integrated energy-efficient and time-saving model

This paper addresses the energy conservation challenge in metro systems during the first service period, characterized by large train headways and low passenger demands. A novel train timetabling method...

An enhanced dynamic programming approach to the deterministic time-dependent lot-sizing problem under shared warehousing

The lot-sizing problem for one-to-one distribution with time-dependent demand has long been studied in logistics at the operational level. Conventionally, the heuristic-based forward dynamic programming...

How does home-based teleworking reshape commuting and activity participation? An empirical study in Shanghai using machine learning

Despite the growing adoption of teleworking, empirical studies remain limited in developing nations, including China. However, the rapid rise of teleworking, accelerated by the COVID-19 pandemic, highlights...

Application of hybrid fiber reinforced polymer concrete in railway sleepers: a perspective to rebar-free concrete sleeper

Traditional concrete railway sleepers reinforced with prestressed steel rebar face durability challenges, including corrosion, thermal expansion, and chloride attack. This study explores hybrid fiber-reinforced...

Using machine learning to investigate user behaviour of Tyne and Wear Metro

This study investigates the factors influencing passenger satisfaction on the Tyne and Wear Metro system, a key public transportation network in North East England. The research explores how various...

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