Analyzing the Diverging Diamond Interchange Using Discrete Event Simulation by Michael Anderson, Bernard Schroer, Dietmar Moeller

“…The diverging diamond interchange (DDI) can improve traffic flow by limiting the number of phases in the traffic signals and improve safety by eliminating left turns. …”
Get full text

Reservation-based traffic management for autonomous intersection crossing by Myungwhan Choi, Areeya Rubenecia, Hyo Hyun Choi

“…The scheduling scheme determines the flow of autonomous vehicles into an intersection without traffic signals. The objective of the scheduling scheme is to schedule the vehicles’ entrances into the intersection such that there will be no collision among vehicles and the intersection is efficiently utilized. …”
Get full text

Advanced Transition Preemption Strategy for Signalized Intersections near Highway-Rail Grade Crossings with Dual Tracks by Yifeng Chen, Laurence R. Rilett, Zifeng Wu

“…The current preemption method for traffic signals at intersections located near highway-rail grade crossings (IHRGC) is known as the standard preemption (SP). …”
Get full text

A Survey on Sensor Selection and Placement for Connected and Automated Mobility by Mehmet Kiraz, Fikret Sivrikaya, Sahin Albayrak

“…Automated shuttles and public buses, smart traffic signals, intelligent passenger cars, and smart roundabouts are just a few examples of technologies that are being planned and actively researched for integration into transportation systems. …”
Get full text

A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data by Bing Liu, Yu Tang, Yuxiong Ji, Yu Shen, Yuchuan Du

“…Ramp metering that uses traffic signals to regulate vehicle flows from the on-ramps has been widely implemented to improve vehicle mobility of the freeway. …”
Get full text

A Reinforcement Learning Based Traffic Control Strategy in a Macroscopic Fundamental Diagram Region by Lingyu Zheng, Bing Wu

“…Urban traffic control systems (UTCSs) are deployed to a great number of urban cities despite lacking feedback when adjusting the traffic signals. The development of reinforcement learning (RL) makes it possible to apply feedback to UTCS, and great efforts have been made on RL-based traffic control strategies. …”
Get full text

Distributed Cooperative Driving Strategy for Connected Automated Vehicles at Unsignalized Intersections Based on Monte Carlo Method by Haoming Li, Wei Dong, Linjun Lu, Ying Wang, Xianing Wang

“…One of the most important goals of cooperative driving is to control connected automated vehicles (CAVs) passing through conflict areas safely and efficiently without traffic signals. As a typical application scenario, allocating right-of-way reasonably at unsignalized intersections can effectively avoid collisions and reduce traffic delays. …”
Get full text

Impact of External Cue Validity on Driving Performance in Parkinson's Disease by Karen Scally, Judith L. Charlton, Robert Iansek, John L. Bradshaw, Simon Moss, Nellie Georgiou-Karistianis

“…Braking points and distance between deceleration point and braking point were analysed for red traffic signals preceded either by Valid Cues (correctly predicting signal), Invalid Cues (incorrectly predicting signal), and No Cues. …”
Get full text

Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles by Xiangmo Zhao, Xia Wu, Qi Xin, Kang Sun, Shaowei Yu

“…This model can be applied to pass two successive traffic signals cooperatively during green phase. In this study, a multi-stage optimal approach is proposed to minimize the fuel consumption. …”
Get full text

Route Identification Method for On-Ramp Traffic at Adjacent Intersections of Expressway Entrance by Wenxuan Wang, Xiaodong Zhu, Yanli Wang, Bing Wu

“…Conclusions demonstrated that the proposed route identification method could provide a theoretical basis for the coordinated control of traffic signals among intersections and on-ramp.…”
Get full text

A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed by Eui-Jin Kim, Ho-Chul Park, Seung-Young Kho, Dong-Kyu Kim

“…Predicting travel speeds on urban road networks is a challenging subject due to its uncertainty stemming from travel demand, geometric condition, traffic signals, and other exogenous factors. This uncertainty appears as nonlinearity, nonstationarity, and volatility in traffic data, and it also creates a spatiotemporal heterogeneity of link travel speed by interacting with neighbor links. …”
Get full text

Evaluation of Delay Characteristics at A 4- Legged Signalised Intersection for Improvement in The Level of Service. A Case Study of Jinja Road Intersection. by Babirye, Joanitor

“…The VISSIM model is an advanced micro- simulation tool with capabilities of modelling both intersection and traffic signals to acceptable level of detail. the model’s ability is to capture the effects of various geometric and traffic features like number of lanes, position of the stop line and proportion of turning flows, and evaluates their impacts on the resulting capacities and delay. …”
Get full text

A Platoon Dispersion Model Based on a Truncated Normal Distribution of Speed by Ming Wei, Wenzhou Jin, Lvou Shen

“…To facilitate coordination in a traffic signal control system, dispersion models for the front and the rear of the platoon are also derived. …”
Get full text

Signal Timing Optimization for Corridors with Multiple Highway-Rail Grade Crossings Using Genetic Algorithm by Yifeng Chen, Laurence R. Rilett

“…This paper develops a simulation-based methodology for optimizing traffic signal timing plan on corridors of this kind. …”
Get full text

Efficiency and Reliability Analysis of Self-Adaptive Two-Stage Fuzzy Control System in Complex Traffic Environment by Mingzhi Wang, Xianyu Wu, He Tian, Jie Lin, Meimei He, Liuqing Ding

“…In this paper, a self-adaptive, two-stage fuzzy controller is established to realize the real-time online optimization of traffic signal timing plan, which takes multimodels of transportation as the research object to analyze the reliability of the control system at the isolated urban intersection. …”
Get full text

A Sarsa(λ)-Based Control Model for Real-Time Traffic Light Coordination by Xiaoke Zhou, Fei Zhu, Quan Liu, Yuchen Fu, Wei Huang

“…During the course, junctions form a policy of coordination as well as constraints for adjacent junctions to maximize their own interests. A good traffic signal timing policy is helpful to solve the problem. …”
Get full text

Using CVIS to Improve Bus Schedule Adherence: A Predictive Control Strategy and Its Hardware-in-the-Loop Field Tests by Wei Yin, Jing Teng, Xiaoguang Yang, H. Michael Zhang

“…In this paper, an adaptive control strategy is proposed to dynamically adjust bus speed and traffic signal timings along the path of a running bus to improve its schedule adherence. …”
Get full text

Intelligent Transportation Design Based on Iterative Learning by Yinpu Ma, Kai Liu

“…Based on the massive data contained in the urban traffic system and the repetitive characteristics of traffic flow, this paper proposes a hierarchical traffic signal control method for urban road network based on iterative learning control. …”
Get full text

Analysis of Free Pendulum Vibration Absorber Using Flexible Multi-Body Dynamics by Emrah Gumus, Atila Ertas

“…This novel free pendulum device is practical and feasible passive vibration absorber in the mitigation of large amplitude wind-induced vibrations in traffic signal structures.…”
Get full text

Traffic Congestion in Ecuador: A Comprehensive Review, Key Factors, Impact, and Solutions of Smart Cities by Luis Roberto Jacome Galarza, Wilson Eduardo Jaramillo Sangurima, Silvia Alexandra Jaramillo Luzuriaga

“…The findings reveal that the main causes are natural disasters disrupting the transportation infrastructure and leading to chaotic traffic flow, lack of infrastructure maintenance, inadequate education, cultural issues, improper traffic signal timing, or the absence of exclusive lanes for public transportation. …”
Get full text