published journal article

Use of vehicle signature analysis and lexicographic optimization for vehicle reidentification on freeways

Transportation Research Part C: Emerging Technologies

Publication Date

August 1, 1999

Author(s)

Carlos Sun, Stephen Ritchie, Kevin (Wei Kang) Tsai, R. (Jay) Jayakrishnan

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Abstract

The vehicle reidentification problem is the task of matching a vehicle detected at one location with the same vehicle detected at another location from a feasible set of candidate vehicles detected at the other location. This paper formulates and solves the vehicle reidentification problem as a lexicographic optimization problem. Lexicographic optimization is a preemptive multi-objective formulation, and this lexicographic optimization formulation combines lexicographic goal programming, classification, and Bayesian analysis techniques. The solution of the vehicle reidentification problem has the potential to yield reliable section measures such as travel times and densities, and enables the measurement of partial dynamic origin/destination demands. Implementation of this approach using conventional surveillance infrastructure permits the development of new algorithms for ATMIS (Advanced Transportation Management and Information Systems). Freeway inductive loop data from SR-24 in Lafayette, California, demonstrates that robust results can be obtained under different traffic flow conditions.

Suggested Citation

Carlos Sun, Stephen G. Ritchie, Kevin Tsai and R. Jayakrishnan (1999) “Use of vehicle signature analysis and lexicographic optimization for vehicle reidentification on freeways”, Transportation Research Part C: Emerging Technologies, 7(4), pp. 167–185. Available at: 10.1016/S0968-090X(99)00018-2.

published journal article

Measuring the stringency of land use regulation: The case of china's building height limits

The Review of Economics and Statistics

Publication Date

October 1, 2017

Author(s)

Jan Brueckner, Shihe Fu, Yizhen Gu, Junfu Zhang

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Suggested Citation

Jan K. Brueckner, Shihe Fu, Yizhen Gu and Junfu Zhang (2017) “Measuring the stringency of land use regulation: The case of china's building height limits”, The Review of Economics and Statistics, 99(4), pp. 663–677. Available at: 10.1162/rest_a_00650.

published journal article

Private enterprise in public transportation: the case of the taxi industry.

Transportation Quarterly

Publication Date

January 1, 1985

Author(s)

Roger Teal

Abstract

In the past 10 years the taxicab industry in the USA has begun entering into service contracts with public agencies. These are demand responsive transit (DRT) systems and consist of DRT for the general public and for the elderly and/or handicapped; additionally, there fixed-route transit services. The cost-effectiveness both for the public and the taxi companies, and the annual revenue to the latter is assessed. Other financial implications are considered.-J.W.Cooper

Suggested Citation

Roger Teal (1985) “Private enterprise in public transportation: the case of the taxi industry.”, Transportation Quarterly, 39(2), pp. 235–252.

published journal article

Modeling the Mixed-Service Fleet Problem of Shared-Use Autonomous Mobility Systems for On-Demand Ridesourcing and Carsharing With Reservations

Transportation Research Record

Publication Date

August 1, 2022

Author(s)

Hoseb Abkarian, Hani Mahmassani, Michael Hyland

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Abstract

This paper studies a mixed-service operation of shared-use autonomous mobility systems (SAMS) where customers can request rides either immediately or through reservations and use the vehicle for a point-to-point service or a time-slot-based rental service, respectively. Three autonomous-vehicle-to-user assignment strategies are presented: a first-come-first-served strategy and two optimization-based (bipartite matching) strategies. The mathematical formulations attempt to achieve a good trade-off between the wait times of reservation-based users and on-demand users, while minimizing overall empty fleet miles. A case study in Chicago is presented using taxi data, and the combined mixed-service fleet operation is compared with a case with two separate operations: one for an on-demand point-to-point service and one for a reservation-based time-slot rental service. Results show that a combined mixed-service operation can provide a more balanced service than the case with two separate operations with respect to the key performance measures of wait time and empty fleet miles.

Suggested Citation

Hoseb Abkarian, Hani S. Mahmassani and Michael Hyland (2022) “Modeling the Mixed-Service Fleet Problem of Shared-Use Autonomous Mobility Systems for On-Demand Ridesourcing and Carsharing With Reservations”, Transportation Research Record, 2676(8), pp. 363–375. Available at: 10.1177/03611981221083617.

published journal article

On Time-Dependent Trip Distance Distribution with For-Hire Vehicle Trips in Chicago

Transportation Research Record

Publication Date

November 1, 2021

Author(s)

Irene Martinez, Wenlong Jin

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Abstract

For transportation system analysis in a new space dimension with respect to individual trips’ remaining distances, vehicle trips demand has two main components: the departure time and the trip distance. In particular, the trip distance distribution (TDD) is a direct input to the bathtub model in the new space dimension, and is a very important variable to consider in many applications, such as the development of distance-based congestion pricing strategies or mileage tax. For a good understanding of the demand pattern, both the distribution of trip initiation and trip distance should be calibrated from real data. In this paper, it is assumed that the demand pattern can be described by the joint distribution of trip distance and departure time. In other words, TDD is assumed to be time-dependent, and a calibration and validation methodology of the joint probability is proposed, based on log-likelihood maximization and the Kolmogorov–Smirnov test. The calibration method is applied to empirical for-hire vehicle trips in Chicago, and it is concluded that TDD varies more within a day than across weekdays. The hypothesis that TDD follows a negative exponential, log-normal, or Gamma distribution is rejected. However, the best fit is systematically observed for the time-dependent log-normal probability density function. In the future, other trip distributions should be considered and also non-parametric probability density estimation should be explored for a better understanding of the demand pattern.

Suggested Citation

Irene Martínez and Wen-Long Jin (2021) “On Time-Dependent Trip Distance Distribution with For-Hire Vehicle Trips in Chicago”, Transportation Research Record, 2675(11), pp. 915–934. Available at: 10.1177/03611981211021552.

conference paper

A Self-Learning Framework for Vehicle Classification System through the Integration of Advanced Inductive Loops and Multi-array LiDAR Sensors

101st Annual Meeting of the Transportation Research Board

Publication Date

January 1, 2022

Author(s)

Yiqiao Li, Andre (Yeow Chern) Tok, Stephen Ritchie

Suggested Citation

Yiqiao Li, Andre Tok and Stephen Ritchie (2022) “A Self-Learning Framework for Vehicle Classification System through the Integration of Advanced Inductive Loops and Multi-array LiDAR Sensors”.

conference paper

Eco-driving algorithm with a moving bottleneck on a single lane

Proceedings of the 99th annual meeting of the transportation research board

Publication Date

January 1, 2020

Author(s)

Pengyuan Sun, Dingtong Yang, Wenlong Jin

Suggested Citation

Pengyuan Sun, Dingtong Yang and Wenlong Jin (2020) “Eco-driving algorithm with a moving bottleneck on a single lane”, in Proceedings of the 99th annual meeting of the transportation research board.

conference paper

A Cross-Verification Approach with Publicly Available Map for Detecting Off-Road Attacks against Lane Detection Systems

ISOC Symposium on Vehicle Security and Privacy (VehicleSec)

Publication Date

January 1, 2024

Author(s)

Takami Sato, Ningfei Wang, Yueqiang Cheng, Qi Alfred Chen

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Suggested Citation

Takami Sato, Ningfei Wang, Yueqiang Cheng and Qi Alfred Chen (2024) “A Cross-Verification Approach with Publicly Available Map for Detecting Off-Road Attacks against Lane Detection Systems”, in ISOC Symposium on Vehicle Security and Privacy (VehicleSec). ISOC. Available at: https://par.nsf.gov/servlets/purl/10492114 (Accessed: August 21, 2025).

published journal article

Persistent racial diversity in neighbourhoods across the United States: Where does it occur?

Population, Space and Place

Publication Date

January 1, 2024

Author(s)

John R. Hipp, Jae Hong Kim

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Abstract

While there is a long history of racial change in the United States, and how this plays out within neighbourhoods, a key recurring question is whether some neighbourhoods are able to achieve and maintain racial diversity, or whether they simply transition to dominance by a new racial group. We test and find evidence of 1631 neighbourhoods across the United States from 1980 to 2020 that exhibit persistent racial diversity (PRD), and assess where this PRD occurs. Our analysis shows that PRD neighbourhoods (PRDNs) are likely to be present in counties with more economic opportunities–that is, counties with higher socioeconomic status (SES). PRDNs themselves, however, tend to be relatively lower SES neighbourhoods within relatively higher SES counties, suggesting that affordable locations surrounded by more economic opportunities may have served as an environment in which diversity can persist over a long period of time in the United States.

Suggested Citation

John R. Hipp and Jae Hong Kim (2024) “Persistent racial diversity in neighbourhoods across the United States: Where does it occur?”, Population, Space and Place, 30(7), p. e2779. Available at: 10.1002/psp.2779.

MS Thesis

Impacts of plug-in hybrid vehicles and grid generation mix on emissions in the South Coast air basin / Ghazal Razeghi.

Publication Date

January 1, 2010

Author(s)

Ghazal Razeghi

View MS Thesis

Abstract

The transportation sector is the number one consumer of energy and the principal source of CO2 greenhouse gas emissions in the world. Together with electricity generation, the two sectors are responsible for more than half of greenhouse gas (GHG) emissions. The introduction of plug-in hybrid vehicles (PHEVs) will impact both sectors. Tail-pipe emissions of GHG and criteria pollutants will be transferred to electricity generating units (EGU). To study the net impact of PHEVs on emissions, a grid dispatch model is developed and applied in this research for various PHEV penetrations, mix of EGUs, and charging scenarios. The state of California South Coast Air Basin (SoCAB) is selected as the region of focus. The Western electrical grid serving the SoCAB is modeled with both spatial and temporal resolution at the individual power plant level. Electricity load is calculated and projected for future years, and the temporal electricity generation of each power plant within the SoCAB is modeled based on historical data and knowledge of electricity generation and dispatch. Due to the efficiency and pollutant controls governing the performance of the Western Grid, PHEV deployment results in a reduction in GHGs and an improvement in air quality. The extent of improvement depends on the time of day and charging scenario. In addition, charging PHEVs using wind energy that would otherwise be curtailed can result in a substantial emissions reduction. Smart control will be required to manage PHEV charging.

Suggested Citation

Ghazal. Razeghi (2010) Impacts of plug-in hybrid vehicles and grid generation mix on emissions in the South Coast air basin / Ghazal Razeghi.. MS Thesis. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991028061989704701.