Clark Lim

Development of Daily Adjustment Factors for Bicycle Traffic

Daily and monthly adjustment factors have traditionally been used to expand the estimation of daily traffic volumes into average monthly and average annual traffic. However, research efforts that are devoted to developing and evaluating these factors for nonmotorized traffic, especially for cycling, are currently rare. This is attributed mainly to the lack of extensive data that can enable reliable calibration and testing of such factors. This paper explores some issues related to the development and application of daily adjustment factors for bicycle traffic. Examples include the impact of grouping daily factors by weekday/weekend and developing weather-specific factors and factors for different road classes. The analysis made use of a large data set of 500 months of daily bicycle volume data that covered 74 links in the city of Vancouver, Canada, for the years 2010 and 2011. Monthly average daily cycling volumes were estimated using different sets of factors, and the estimation accuracy was assessed and compared. It was found that developing factors for each day of the week provided similar estimation errors to grouping the factors for weekdays and weekends. In general, the best estimation results of the monthly average cycling volumes were achieved when using daily factors that are disaggregated by weather conditions. The temporal transferability of the factors was also evaluated by applying the factors from 2010 and 2011 to data from 2009. Compared to the daily factors from 2011, it was shown that the factors from 2010 provided slightly better estimation accuracies of the monthly average of daily bicycle traffic for different months in 2009. This demonstrates the degradation in the reliability of the daily adjustment factors over time, which calls for an update of these factors every few years.

Community-Based, Macrolevel Collision Prediction Model Use with a Regional Transportation Plan

This paper describes the application of previously developed community-based, macrolevel collision prediction models (CPMs) to evaluate the road safety of a regional transportation plan. The research objective was to present and test model-use guidelines in a regional road safety planning application. The data was extracted from over 400 Greater Vancouver neighborhoods in British Columbia, Canada, including output from the regional transportation model. The CPMs predicted a lower mean collision frequency region-wide due to a proposed three-year transportation plan, versus a do-nothing scenario. Recommendations have been made for future use of the CPMs in regional road safety planning applications. The application of macrolevel CPMs to this regional case study proved a solid step in the development of new and improved empirical tools for planners and engineers to include road safety in the planning process. It is hoped that these models and model-use guidelines will facilitate improved decisions by community planners and engineers, and ultimately, facilitate improved neighborhood traffic safety for residents and other road users.

Simulation and Evaluation of International Border Crossing Clearance Systems

This paper presents the development of a framework for the evaluation of commercial vehicle border preinspection systems. The evaluation framework consists of accounts that are described by several measures of effectiveness (MOEs). A discrete-event simulation model was developed to provide the main source of input for the calculation of the MOEs. In a case study of a hypothetical preinspection system for commercial vehicles entering Canada from the United States, 10 scenarios of varying degrees of preinspection system implementations were tested with the simulation model. The scenarios consisted of varying degrees of industry and agency participation rates and comprised the application of rules and corresponding parameter settings of the hypothetical implementations of the border preinspection system. The case study evaluation resulted in increases in the efficiencies of border operations and increases in industry and agency participation.

Simulation and Evaluation of International Border Crossing Clearance Systems: A Canadian Case Study

This paper presents the development of a framework for the evaluation of commercial vehicle border preinspection systems. The evaluation framework consists of accounts that are described by several measures of effectiveness (MOEs). A discrete-event simulation model was developed to provide the main source of input for the calculation of the MOEs. In a case study of a hypothetical preinspection system for commercial vehicles entering Canada from the United States, 10 scenarios of varying degrees of preinspection system implementations were tested with the simulation model. The scenarios consisted of varying degrees of industry and agency participation rates and comprised the application of rules and corresponding parameter settings of the hypothetical implementations of the border preinspection system. The case study evaluation resulted in increases in the efficiencies of border operations and increases in industry and agency participation.

Simulation and Evaluation of Automated Vehicle Identification at Weigh-in-Motion Inspection Stations: Case Study from British Columbia, Canada

This paper describes the development and validation of a discrete event microsimulation model that was applied to investigate the implementation of automated vehicle identification (AVI) technologies at Nordel Inspection Station in Delta, British Columbia. Current operational policies require commercial vehicles passing through the area to be inspected. The study, which includes an extensive field survey to collect validation data, determined that the implementation of a conservative industry participation of 10% in the AVI program would result in benefits ranging from

Probabilistic Collision Prediction for Vision-Based Automated Road Safety Analysis

2.4 million to

Development of a cycling data model: City of Vancouver case study

7.9 million (2008 CAD), or benefit–cost ratios ranging from 11 to 47 for a range of net-present value project costs of

A driver visual attention model. Part 1. Conceptual framework

50 to

Prototype System for Truck Signal Priority (TkSP) Using Video Sensors

200,000. Benefits also include the reduction of emissions, with 5-year greenhouse gas (GHG) emissions reductions ranging from 2,200 to 7,200 metric tons, or a cost of

Using Macrolevel Collision Prediction Models to Conduct Road Safety Evaluation of Regional Transportation Plan

9.1 to