The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Tandan bas sering berlaku dalam sistem transit awam, mengakibatkan beberapa siri masalah seperti ketepatan masa yang lemah, masa menunggu yang lama dan kualiti perkhidmatan yang rendah. Dalam makalah ini, kami meneroka pengaruh taburan diskret keadaan operasi trafik terhadap evolusi dinamik tandan bas. Pertama, kami menggunakan peta penyusunan sendiri (SOM) untuk mencari ambang himpunan bas dan menganalisis faktor yang mempengaruhi himpunan bas berdasarkan data GPS laluan bas No. 600 di Xi'an. Kemudian, dengan menggunakan laluan bas sebagai indeks penyelidikan, kami membina model mekanisme tandan bas. Akhir sekali, platform simulasi dibina oleh MATLAB untuk mengkaji arah aliran apabila pelbagai faktor yang mempengaruhi menunjukkan keadaan pengedaran yang berbeza di sepanjang laluan bas. Dari segi faktor yang mempengaruhi, kelajuan antara kenderaan, masa beratur di persimpangan dan masa memuatkan di stesen ditunjukkan mempunyai kesan yang ketara terhadap laluan antara bas. Dari segi impak taburan bahagian jalan yang sesak di laluan hulu, bahagian jalan yang sesak jarak jauh dan tertumpu akan membawa kepada selang besar atau tandan bas. Apabila keadaan trafik di sepanjang laluan bas diedarkan secara rawak di kalangan sesak, normal dan bebas, laluan itu mungkin turun naik dalam julat yang besar, yang mungkin mengakibatkan kumpulan bas, atau turun naik dalam julat yang kecil dan kekal stabil. Keluk perubahan tanjakan ditentukan oleh panjang pengedaran setiap keadaan trafik di sepanjang laluan bas. Hasil penyelidikan boleh membantu untuk merumuskan langkah-langkah penambahbaikan mengikut keadaan operasi trafik untuk laluan keseimbangan bas dan mengurangkan kumpulan bas.
Shaorong HU
Chang'an University
Yuqi ZHANG
Chang'an University
Yuefei JIN
Chang'an University
Ziqi DOU
Dalian Maritime University
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Salinan
Shaorong HU, Yuqi ZHANG, Yuefei JIN, Ziqi DOU, "Dynamic Evolution Simulation of Bus Bunching Affected by Traffic Operation State" in IEICE TRANSACTIONS on Information,
vol. E106-D, no. 5, pp. 746-755, May 2023, doi: 10.1587/transinf.2022DLP0047.
Abstract: Bus bunching often occurs in public transit system, resulting in a series of problems such as poor punctuality, long waiting time and low service quality. In this paper, we explore the influence of the discrete distribution of traffic operation state on the dynamic evolution of bus bunching. Firstly, we use self-organizing map (SOM) to find the threshold of bus bunching and analyze the factors that affect bus bunching based on GPS data of No. 600 bus line in Xi'an. Then, taking the bus headway as the research index, we construct the bus bunching mechanism model. Finally, a simulation platform is built by MATLAB to examine the trend of headway when various influencing factors show different distribution states along the bus line. In terms of influencing factors, inter vehicle speed, queuing time at intersection and loading time at station are shown to have a significant impact on headway between buses. In terms of the impact of the distribution of crowded road sections on headway, long-distance and concentrated crowded road sections will lead to large interval or bus bunching. When the traffic states along the bus line are randomly distributed among crowded, normal and free, the headway may fluctuate in a large range, which may result in bus bunching, or fluctuate in a small range and remain relatively stable. The headway change curve is determined by the distribution length of each traffic state along the bus line. The research results can help to formulate improvement measures according to traffic operation state for equilibrium bus headway and alleviating bus bunching.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2022DLP0047/_p
Salinan
@ARTICLE{e106-d_5_746,
author={Shaorong HU, Yuqi ZHANG, Yuefei JIN, Ziqi DOU, },
journal={IEICE TRANSACTIONS on Information},
title={Dynamic Evolution Simulation of Bus Bunching Affected by Traffic Operation State},
year={2023},
volume={E106-D},
number={5},
pages={746-755},
abstract={Bus bunching often occurs in public transit system, resulting in a series of problems such as poor punctuality, long waiting time and low service quality. In this paper, we explore the influence of the discrete distribution of traffic operation state on the dynamic evolution of bus bunching. Firstly, we use self-organizing map (SOM) to find the threshold of bus bunching and analyze the factors that affect bus bunching based on GPS data of No. 600 bus line in Xi'an. Then, taking the bus headway as the research index, we construct the bus bunching mechanism model. Finally, a simulation platform is built by MATLAB to examine the trend of headway when various influencing factors show different distribution states along the bus line. In terms of influencing factors, inter vehicle speed, queuing time at intersection and loading time at station are shown to have a significant impact on headway between buses. In terms of the impact of the distribution of crowded road sections on headway, long-distance and concentrated crowded road sections will lead to large interval or bus bunching. When the traffic states along the bus line are randomly distributed among crowded, normal and free, the headway may fluctuate in a large range, which may result in bus bunching, or fluctuate in a small range and remain relatively stable. The headway change curve is determined by the distribution length of each traffic state along the bus line. The research results can help to formulate improvement measures according to traffic operation state for equilibrium bus headway and alleviating bus bunching.},
keywords={},
doi={10.1587/transinf.2022DLP0047},
ISSN={1745-1361},
month={May},}
Salinan
TY - JOUR
TI - Dynamic Evolution Simulation of Bus Bunching Affected by Traffic Operation State
T2 - IEICE TRANSACTIONS on Information
SP - 746
EP - 755
AU - Shaorong HU
AU - Yuqi ZHANG
AU - Yuefei JIN
AU - Ziqi DOU
PY - 2023
DO - 10.1587/transinf.2022DLP0047
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E106-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2023
AB - Bus bunching often occurs in public transit system, resulting in a series of problems such as poor punctuality, long waiting time and low service quality. In this paper, we explore the influence of the discrete distribution of traffic operation state on the dynamic evolution of bus bunching. Firstly, we use self-organizing map (SOM) to find the threshold of bus bunching and analyze the factors that affect bus bunching based on GPS data of No. 600 bus line in Xi'an. Then, taking the bus headway as the research index, we construct the bus bunching mechanism model. Finally, a simulation platform is built by MATLAB to examine the trend of headway when various influencing factors show different distribution states along the bus line. In terms of influencing factors, inter vehicle speed, queuing time at intersection and loading time at station are shown to have a significant impact on headway between buses. In terms of the impact of the distribution of crowded road sections on headway, long-distance and concentrated crowded road sections will lead to large interval or bus bunching. When the traffic states along the bus line are randomly distributed among crowded, normal and free, the headway may fluctuate in a large range, which may result in bus bunching, or fluctuate in a small range and remain relatively stable. The headway change curve is determined by the distribution length of each traffic state along the bus line. The research results can help to formulate improvement measures according to traffic operation state for equilibrium bus headway and alleviating bus bunching.
ER -