Determinants of time headway in staggered car-following conditions

Das, Sanhita; Maurya, Akhilesh Kumar; Budhkar, Anuj Kishor

doi:10.1080/19427867.2017.1386872

Cited by 21 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By utilising trajectory data, Das et al [121] evaluated the parameters affecting the driver's time headway in staggered car-following situations. ey concluded that the lead vehicle dimensions affect the following headways of vehicles.…”

Section: Field Observational Data On Two-dimensional Trafficmentioning

confidence: 99%

Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks

Matcha

Namasivayam

Fouladi

et al. 2020

Journal of Engineering

View full text Add to dashboard Cite

The area of traffic flow modelling and analysis that bridges civil engineering, computer science, and mathematics has gained significant momentum in the urban areas due to increasing vehicular population causing traffic congestion and accidents. Notably, the existence of mixed traffic conditions has been proven to be a significant contributor to road accidents and congestion. The interaction of vehicles takes place in both lateral and longitudinal directions, giving rise to a two-dimensional (2D) traffic behaviour. This behaviour contradicts with the traditional car-following (CF) or one-dimensional (1D) lane-based traffic flow. Existing one-dimensional CF models did the inclusion of lane changing and overtaking behaviour of the mixed traffic stream with specific alterations. However, these parameters cannot describe the continuous lateral manoeuvre of mixed traffic flow. This review focuses on all the significant contributions made by 2D models in evaluating the lateral and longitudinal vehicle behaviour simultaneously. The accommodation of vehicle heterogeneity into the car-following models (homogeneous traffic models) is discussed in detail, along with their shortcomings and research gaps. Also, the review of commercially existing microscopic traffic simulation frameworks built to evaluate real-world traffic scenario are presented. This review identified various vehicle parameters adopted by existing CF models and whether the current 2D traffic models developed from CF models effectively captured the vehicle behaviour in mixed traffic conditions. Findings of this study are outlined at the end.

show abstract

Section: Field Observational Data On Two-dimensional Trafficmentioning

confidence: 99%

Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks

Matcha

Namasivayam

Fouladi

et al. 2020

Journal of Engineering

View full text Add to dashboard Cite

show abstract

“…Untuk mengatasi permasalahan yang terjadi saat ini perusahaan harus memecahkan masalah dalam menentukan time headway lewat penjadwalan yang teratur dan menentukan jumlah armada yang dibutuhkan untuk di operasikan pada kurun waktu tertentu. Time headway adalah selisih waktu antar kendaraan yang berada di depan dengan kendaraan yang berada di belakang yang melewati suatu titik tertentu pada satu jalur (Das, Maurya dan Budhkar, 2019). Penentuan time headway melalui penjadwalan dan armada yang di operasikan adalah hal yang penting dalam mengoperasikan dan mengintegrasikan bus Transjakarta.…”

Section: Pendahuluanunclassified

“…Sejak tahun 2004, Transjakarta belum mampu beroperasi pada jadwal yang direncanakan maupun mengejar time headway yang ditargetkan (Nailufar, 2016). Laju aliran dianggap sebagai salah satu faktor utama yang memengaruhi time headway: semakin rendah laju aliran, semakin tinggi time headway (Das, Maurya dan Budhkar, 2019). Oleh karena itu perlu dilakukan penetapan waktu antar kedatangan yang tepat agar penumpang terlayani dengan tepat dan cepat.…”

Section: Pendahuluanunclassified

Optimasi Jumlah Kedatangan Bus Transjakarta Koridor 1 untuk Melayani Penumpang pada Jam Sibuk Menggunakan Simulasi

Lusiani

William

2020

JIEMS

View full text Add to dashboard Cite

Public transportation plays an important role in meeting people's needs for traveling. In a big city like DKI Jakarta, public transportation plays an important role in supporting the daily activities of its people. Transjakarta is one of the mass public transportation (bus rapid transit) provided by the local government for the community. One of the corridors that have the highest number of passengers is corridor 1 which serves the Blok M - Kota route. The problem that occurs is the irregularity in the scheduling system and the operation of the buses which are considered to be less than optimal, as a result, many buses are idle or buses travel but only carry a few passengers, especially during peak hours on weekdays. To solve this problem, it is necessary to conduct research that regulates the scheduling of bus arrivals at peak hours to serve a large number of passengers. The method used in this research is a simulation by determining the headway timing and determining the number of buses to operate as optimally as possible. The proposed simulation is made of 3 new scenarios and 1 proposed scenario for real-time conditions. Based on the simulation results, the determination of the headway time of 9 minutes between arrivals and 13 buses used during rush hour, from the previous one with a headway time of 4 minutes between arrivals, but the buses used are 30 buses during peak hours. This proposal given is to save bus usage and maximize the utility of the bus.

show abstract

“…Ma et al [10] proposed an extended vehiclefollowing model considering the driver's response delay by improving the FVD model and discussed the relationship between traffic flow stability and driver response delay through theoretical analysis. In addition, there are many car-following models considering various factors, such as driver characteristic [11], driver memory [12], honk environment [13], energy sustainability [14,15], mixed traffic flow [16], and so on. In SUMO, the following model is used to simulate the moving behavior of a vehicle on the road, especially how the vehicle follows the vehicle in front of it.…”

Section: Introductionmentioning

confidence: 99%

Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road

Han,

Ma,

Liang

et al. 2024

WEVJ

View full text Add to dashboard Cite

Under the development of intelligent network technology, drivers can obtain the surrounding traffic situation in real time, which is conducive to improving the stability of traffic flow. Therefore, this paper proposes a new curve-car-following model considering multi-vehicle information of adjacent lanes in connected environment, and conducts linear and nonlinear stability analyses of the model to demonstrate the effectiveness of the proposed model and its ability to improve the stability of traffic system; in addition, numerical simulation experiments of traffic flow convoys are designed to analyze the effects of different parameters in the proposed model on the stability of the traffic flow and test the proposed model’s ability to maintain the following behavior in a convoy. Furthermore, numerical simulation experiments are designed to analyze the effects of different parameters in the proposed model on the stability of traffic flow, and to test the ability of the proposed model to maintain the following behavior in the convoy. The model can provide theoretical guidance to alleviate traffic congestion and improve safety, and extend the application of the following model in curved multi-lane road scenarios.

show abstract

Determinants of time headway in staggered car-following conditions

Cited by 21 publications

References 25 publications

Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks

Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks

Optimasi Jumlah Kedatangan Bus Transjakarta Koridor 1 untuk Melayani Penumpang pada Jam Sibuk Menggunakan Simulasi

Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road

Contact Info

Product

Resources

About