Journal of Transportation Engineering, Part A: Systems: Recent submissions
Now showing items 561-580 of 4147
-
Examining Crossing Conflicts by Vehicle Type at Unsignalized T-Intersections Using Accepted Gaps: A Perspective from Emerging Countries
(ASCE, 2022-03-24)The present study focuses on examining the potential of accepted gaps to assess traffic safety at unsignalized T-intersections by estimating the likelihood of a crash. Four unsignalized T-intersections with varying geometry ... -
Two-Step Optimization Model for Evaluating the Saturation Flow Rate under the Impact of Small-Sized Vehicles
(ASCE, 2022-02-28)Saturation flow rate (SFR) is a vital input for an intersection’s performance evaluation and development of signal control strategy. Several models have been framed under prevailing traffic conditions for homogeneous and ... -
Mode Choice between Bus and Bike-Sharing for the Last-Mile Connection to Urban Rail Transit
(ASCE, 2022-02-25)Previous studies show that the popularity of bike-sharing systems has a significant impact on public transit ridership, mainly reflected in two aspects: substitution and supplement. However, a mode choice of the users ... -
Mining Urban Sustainability: Vehicle Emission Changes on Traffic Corridor by One-Way Traffic Conversion
(ASCE, 2022-03-11)A one-way traffic strategy is widely used in densely populated urban areas to improve traffic efficiency, but its environmental impacts remain largely unclear. This study investigated the effects of a one-way traffic ... -
Connected Preceding Vehicle Identification for Enabling Cooperative Automated Driving in Mixed Traffic
(ASCE, 2022-02-22)To enable the safe and fast formation of connected automated vehicle (CAV) platoons in real-world traffic, a preceding vehicle identification system for mixed traffic (PVIS-mixed) is proposed. PVIS-mixed utilizes the ... -
Short-Term Traffic Flow Prediction of Expressway Considering Spatial Influences
(ASCE, 2022-03-30)Real-time and accurate short-term traffic flow prediction is important for the operation and management of expressways. This paper presents a hybrid model that can be used to discover the spatiotemporal dependencies of ... -
Adaptive Pushbutton Control for Signalized Pedestrian Midblock Crossings
(ASCE, 2022-02-04)Pushbutton control is ideal for midblock crossings with low pedestrian and vehicle demand, but it causes significant interruptions to traffic flow with frequent pedestrian crossing requests. Therefore, we propose an adaptive ... -
Generalized Fundamental Diagram with Implications of Congestion Mitigation
(ASCE, 2022-03-11)The classic triangular fundamental diagram describes the functional relationship between flow rate and traffic density for longitudinal movements of homogeneous traffic. This study generalized the classic triangular ... -
Freeway Traffic State Estimation Method Based on Multisource Data
(ASCE, 2022-01-27)Accurate traffic state estimation is essential for the successful application of intelligent transportation systems (ITS). In the past, traffic state estimation methods based on the macro traffic flow model and data ... -
Public Interest in Autonomous Vehicle Adoption: Evidence from the 2015, 2017, and 2019 Puget Sound Travel Surveys
(ASCE, 2022-01-22)Autonomous vehicle (AV) technology is considered to be the future of transportation and has gained much focus from academia, vehicle industries, transportation agencies, and the general public. To contribute to the existing ... -
A Data-Driven Method for Congestion Identification and Classification
(ASCE, 2022-02-09)Congestion detection is one of the key steps in reducing delays and associated costs in traffic management. With the increasing use of global positioning system (GPS)-based navigation, promising speed data are now available. ... -
Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
(ASCE, 2022-01-28)Passenger flow predictions are of great significance to bus scheduling and route optimization. In this paper, a novel algorithm, namely the Spatial–Temporal Graph Sequence with Attention Network (STGSAN), was proposed to ... -
Safety Evaluation of an Adaptive Signal Control Technology Using an Empirical Bayes Approach
(ASCE, 2022-01-31)Adaptive signal control technology (ASCT) is a traffic management strategy that optimizes signal timing based on actual traffic demand. Although meant to improve the operational performance of signalized intersections, ... -
Spatial–Temporal Graph-Enabled Convolutional Neural Network–Based Approach for Traffic Networkwide Travel Time
(ASCE, 2022-02-25)It has been recognized that significant travel time estimation errors may be introduced using low-resolution GPS-based floating car trajectory data traditionally. Very few studies have been conducted to concentrate on ... -
Point and Interval Travel Time Prediction in Urban Arterials Using Wi-Fi MAC Scanning Data
(ASCE, 2022-01-20)In recent times, the ubiquity of wireless technology has encouraged researchers to collect travel time data using Wi-Fi media access control scanners (WMS). This notion inspired the current work, which analyzed data from ... -
A Risk-Based Multiobjective Optimization Framework to Enhance the Safety of Horizontal Curves with Limited Sight Distance
(ASCE, 2022-01-13)This study introduces a multiobjective optimization framework for the redimensioning of the cross-sectional elements of rural horizontal curves with limited sight distance. The optimization aims at minimizing both the risk ... -
Development of an Adaptive Traffic Signal Control Framework for Urban Signalized Interchanges Based on Infrastructure Detectors and CAV Technologies
(ASCE, 2022-01-24)In this paper, we presented a novel adaptive traffic control strategy for urban signalized interchanges based on traditional sensors and emerging connected and automated vehicle (CAV) technologies. The signalized interchanges ... -
Propensity toward Ridesourcing: The Impacts of Previous Experience and Mode Dependency
(ASCE, 2022-02-03)This paper presents a study that aims to investigate the role of experience in the mode choice of using ridesourcing services. Factors that impact users’ mode choice between traditional modes (i.e., private vehicles ... -
Weibull Distribution-Based Neural Network for Stochastic Capacity Estimation
(ASCE, 2022-01-31)Capacity is an important traffic parameter, extending nonnegligible influence on road network planning, traffic management, and traffic state prediction. The stochasticity of capacity is widely accepted considering the ... -
A Data-Driven Case Study Following the Implementation of an Adaptive Traffic Control System in Midtown Manhattan
(ASCE, 2022-02-15)This paper evaluated the congestion reduction benefits over a 6-year period from the implementation of an adaptive traffic control system (ATCS) in a congested area of Manhattan, New York, bounded by 2nd and 6th Avenues ...