### Abstract

The turning decision of a vehicle, at a signalized intersection, depends on the characteristics of the road users (e.g., vehicle, pedestrians, bicycles) and the intersection. The objective of this chapter is to estimate the turning decision of left-turning vehicles at a signalized intersection in a university campus. The signalized intersection, at the crossing of Boulevard de Maisonneuve Ouest and Rue MacKay within the Sir George Williams campus of the Concordia University (Montreal, Canada), is considered as a case study. The traffic video data were collected from 10a.m. to 5p.m. during the period of July—October in the year 2010. Vehicles turn at the intersection based on the gap between those and the crossing traffic, and complete the turning maneuver accepting the adequate gap (time or distance). The mean value of accepting the gap is known as the critical gap acceptance (CGA). The stochastic modeling of the left-turning decision is implemented at two stages—the estimation of the CGA by using probabilistic approaches; and the determination of the factors— contribution by applying backpropagation neural network (BPN). The stochastic distribution functions estimate the CGA for passenger cars and other vehicles (e.g., buses, trucks, and vans) as 14.3s and 16.5s, respectively. The BPN models determine the bicycle distance from conflict point, platoon bicycles, existence of bicycle at conflict zone, bicycles— speed, vehicles— speed, pedestrians— speed, number of vehicles passed, and vehicle moving at conflict zone are the predominant factors of left-turning decision.

Original language | English |
---|---|

Title of host publication | Numerical Methods for Reliability and Safety Assessment |

Subtitle of host publication | Multiscale and Multiphysics Systems |

Editors | Seifedine Kadry, Abdelkhalak El Hami |

Place of Publication | Cham |

Publisher | Springer International Publishing |

Pages | 707-720 |

Number of pages | 14 |

Edition | 1 |

ISBN (Electronic) | 9783319071671 |

ISBN (Print) | 9783319071664, 9783319379319 |

DOIs | |

Publication status | Published - 1 Jan 2015 |

Externally published | Yes |

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### ASJC Scopus subject areas

- Engineering(all)
- Physics and Astronomy(all)
- Mathematics(all)

### Cite this

*Numerical Methods for Reliability and Safety Assessment: Multiscale and Multiphysics Systems*(1 ed., pp. 707-720). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-07167-1_27

**The stochastic modeling of the turning decision by left-turning vehicles at a signalized intersection in a university campus.** / Amin, Md Shohel Reza; Alecsandru, Ciprian.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

*Numerical Methods for Reliability and Safety Assessment: Multiscale and Multiphysics Systems.*1 edn, Springer International Publishing, Cham, pp. 707-720. https://doi.org/10.1007/978-3-319-07167-1_27

}

TY - CHAP

T1 - The stochastic modeling of the turning decision by left-turning vehicles at a signalized intersection in a university campus

AU - Amin, Md Shohel Reza

AU - Alecsandru, Ciprian

PY - 2015/1/1

Y1 - 2015/1/1

N2 - The turning decision of a vehicle, at a signalized intersection, depends on the characteristics of the road users (e.g., vehicle, pedestrians, bicycles) and the intersection. The objective of this chapter is to estimate the turning decision of left-turning vehicles at a signalized intersection in a university campus. The signalized intersection, at the crossing of Boulevard de Maisonneuve Ouest and Rue MacKay within the Sir George Williams campus of the Concordia University (Montreal, Canada), is considered as a case study. The traffic video data were collected from 10a.m. to 5p.m. during the period of July—October in the year 2010. Vehicles turn at the intersection based on the gap between those and the crossing traffic, and complete the turning maneuver accepting the adequate gap (time or distance). The mean value of accepting the gap is known as the critical gap acceptance (CGA). The stochastic modeling of the left-turning decision is implemented at two stages—the estimation of the CGA by using probabilistic approaches; and the determination of the factors— contribution by applying backpropagation neural network (BPN). The stochastic distribution functions estimate the CGA for passenger cars and other vehicles (e.g., buses, trucks, and vans) as 14.3s and 16.5s, respectively. The BPN models determine the bicycle distance from conflict point, platoon bicycles, existence of bicycle at conflict zone, bicycles— speed, vehicles— speed, pedestrians— speed, number of vehicles passed, and vehicle moving at conflict zone are the predominant factors of left-turning decision.

AB - The turning decision of a vehicle, at a signalized intersection, depends on the characteristics of the road users (e.g., vehicle, pedestrians, bicycles) and the intersection. The objective of this chapter is to estimate the turning decision of left-turning vehicles at a signalized intersection in a university campus. The signalized intersection, at the crossing of Boulevard de Maisonneuve Ouest and Rue MacKay within the Sir George Williams campus of the Concordia University (Montreal, Canada), is considered as a case study. The traffic video data were collected from 10a.m. to 5p.m. during the period of July—October in the year 2010. Vehicles turn at the intersection based on the gap between those and the crossing traffic, and complete the turning maneuver accepting the adequate gap (time or distance). The mean value of accepting the gap is known as the critical gap acceptance (CGA). The stochastic modeling of the left-turning decision is implemented at two stages—the estimation of the CGA by using probabilistic approaches; and the determination of the factors— contribution by applying backpropagation neural network (BPN). The stochastic distribution functions estimate the CGA for passenger cars and other vehicles (e.g., buses, trucks, and vans) as 14.3s and 16.5s, respectively. The BPN models determine the bicycle distance from conflict point, platoon bicycles, existence of bicycle at conflict zone, bicycles— speed, vehicles— speed, pedestrians— speed, number of vehicles passed, and vehicle moving at conflict zone are the predominant factors of left-turning decision.

UR - http://www.scopus.com/inward/record.url?scp=84944032794&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-07167-1_27

DO - 10.1007/978-3-319-07167-1_27

M3 - Chapter

SN - 9783319071664

SN - 9783319379319

SP - 707

EP - 720

BT - Numerical Methods for Reliability and Safety Assessment

A2 - Kadry, Seifedine

A2 - El Hami, Abdelkhalak

PB - Springer International Publishing

CY - Cham

ER -