Muhammad Moazzam Ishaque
Durham University
6 Papers
63 Citations
Muhammad Moazzam Ishaque is an academic researcher from Durham University. The author has contributed to research in topics: Pedestrian & VisSim. The author has an hindex of 6, co-authored 6 publications. Previous affiliations of Muhammad Moazzam Ishaque include Rutgers University & Imperial College London.
Chat about Author
Papers
Behavioural Issues in Pedestrian Speed Choice and Street Crossing Behaviour: A Review
TL;DR: In this paper, a comprehensive literature review is undertaken for various parameters of pedestrian movement that are of fundamental importance in any pedestrian modelling approach, such as pedestrian speeds, pedestrian speed-flow-density relationships, pedestrian compliance to traffic signals, and pedestrian gap acceptance while crossing the road.
165
Smart Bicycles in an Urban Area: Evaluation of a Pilot Scheme in London
TL;DR: An evaluation of a pilot system introduced in the London Borough of Hammersmith and Fulham in August 2004 found that the potential of the system lies primarily with leisure and recreational markets and with providing links to public transport stations.
Pedestrian and Vehicle Flow Calibration in Multimodal Traffic Microsimulation
TL;DR: The feasibility of modeling vehicle-pedestrian interactions in a realistic manner is demonstrated and the VISSIM model is provided with a tool for evaluating policies that affect both vehicle and pedestrian flows.
53
Making roads safe for pedestrians or keeping them out of the way? : An historical perspective on pedestrian policies in Britain
TL;DR: In this article, the development of footpaths, pedestrian crossings and road safety are discussed, with the aim of providing an understanding of how this development can provide perspectives on current pedestrian policies.
41
Simulated pedestrian travel and exposure to vehicle emissions
TL;DR: In this paper, a complex network is coded in a micro-simulation model that allows tracking of vehicle and pedestrian movements and is linked to an emissions data base, and the effects of these emissions on the pedestrian paths and crossings are then estimated using an air dispersion model.
29