Abstract
This paper presents an agent-based model (ABM) for simulating the queue formation of powered two-wheelers (PTWs) in heterogeneous traffic at a signalized intersection. The main novelty is that the proposed interaction rule describing the position choice behavior of PTWs when queuing in heterogeneous traffic can capture the stochastic nature of the decision making process. The interaction rule is formulated as a multinomial logit model, which is calibrated by using a microscopic traffic trajectory dataset obtained from video footage. The ABM is validated against the survey data for the vehicular trajectory patterns, queuing patterns, queue lengths, and discharge rates. The results demonstrate that the proposed model is capable of replicating the observed queue formation process for heterogeneous traffic.
| Original language | English |
|---|---|
| Pages (from-to) | 199-216 |
| Number of pages | 18 |
| Journal | Physica A: Statistical Mechanics and its Applications |
| Volume | 461 |
| DOIs | |
| Publication status | Published - 2016 Nov 1 |
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All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Condensed Matter Physics
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An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic. / Lee, Tzu-Chang; Wong, K. I.
In: Physica A: Statistical Mechanics and its Applications, Vol. 461, 01.11.2016, p. 199-216.Research output: Contribution to journal › Article
TY - JOUR
T1 - An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic
AU - Lee, Tzu-Chang
AU - Wong, K. I.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - This paper presents an agent-based model (ABM) for simulating the queue formation of powered two-wheelers (PTWs) in heterogeneous traffic at a signalized intersection. The main novelty is that the proposed interaction rule describing the position choice behavior of PTWs when queuing in heterogeneous traffic can capture the stochastic nature of the decision making process. The interaction rule is formulated as a multinomial logit model, which is calibrated by using a microscopic traffic trajectory dataset obtained from video footage. The ABM is validated against the survey data for the vehicular trajectory patterns, queuing patterns, queue lengths, and discharge rates. The results demonstrate that the proposed model is capable of replicating the observed queue formation process for heterogeneous traffic.
AB - This paper presents an agent-based model (ABM) for simulating the queue formation of powered two-wheelers (PTWs) in heterogeneous traffic at a signalized intersection. The main novelty is that the proposed interaction rule describing the position choice behavior of PTWs when queuing in heterogeneous traffic can capture the stochastic nature of the decision making process. The interaction rule is formulated as a multinomial logit model, which is calibrated by using a microscopic traffic trajectory dataset obtained from video footage. The ABM is validated against the survey data for the vehicular trajectory patterns, queuing patterns, queue lengths, and discharge rates. The results demonstrate that the proposed model is capable of replicating the observed queue formation process for heterogeneous traffic.
UR - http://www.scopus.com/inward/record.url?scp=84973518535&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973518535&partnerID=8YFLogxK
U2 - 10.1016/j.physa.2016.05.005
DO - 10.1016/j.physa.2016.05.005
M3 - Article
AN - SCOPUS:84973518535
VL - 461
SP - 199
EP - 216
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
SN - 0378-4371
ER -