01631513

Component

On-street parking involves the blockage of the lane on which a vehicle parks, thus reducing its capacity. As a result, large cities such as the city of Toronto restrict on-street parking on main routes during traffic peak periods. As with any parking restriction, the compliance rate to this policy is not a 100%. This study aims to use Traffic Microsimulation to quantify the impact of illegal on-street parking during the AM peak period on the level of congestion in the city of Toronto. The study uses traffic demands and parking citation data from the year 2011 to simulate existing traffic conditions and reflect the existing level of incompliance to the on-street parking policy. Quadstone Paramics is used to incorporate the illegal parking activity into the Toronto Waterfront Network simulation model. Link delay, travel time, speed and link flow along links affected by illegal parking are the measures of effectiveness that reflect the implications of illegal parking in the study. The base case where no illegal parking is simulated is compared with simulations incorporating illegal parking to derive the difference in travel times resulting from illegal parking. It is observed thst on average link delay increases by 50% and link flow reduces by 7% upon introducing illegal on-street parking onto a link.

This paper was sponsored by TRB committee ABE50 Standing Committee on Transportation Demand Management. Alternate title: Integrated Traffic Microsimulation Model of Illegal On-street Parking in Downtown Toronto, Canada.

01618707

17-05970

English

11p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Microsimulation; On street parking; Parking violations; Peak periods; Traffic congestion; Traffic simulation

Toronto (Canada)

Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2017 Paper #17-05970

TRIS, TRB, ATRI

Dec 8 2016 12:24PM