{"title":"Crowd model calibration at strategic, tactical, and operational levels: Full-spectrum sensitivity analyses show bottleneck parameters are most critical, followed by exit-choice-changing parameters","authors":"Milad Haghani , Majid Sarvi","doi":"10.1080/19427867.2023.2195729","DOIUrl":"10.1080/19427867.2023.2195729","url":null,"abstract":"<div><p>Crowd motion simulation requires specification of a range of parameters, each reflecting certain aspects of agent behavior. But what parameters matter the most? Are they all equally important? The question is important given that available data and resources for parameter calibration are limited, and priorities often need to be made. Here, for the first time, a full-spectrum sensitivity analysis of crowd model parameters is reported. It is shown that estimates of simulated evacuation time are, by far, most dependent on the value of locomotion/operational parameters, especially those that determine discharge rate at bottlenecks. The next most critical set of parameters are those that influence change of direction choices. If a crowd simulation model fails to reproduce <em>bottleneck</em> flows accurately, efforts to refine other modeling layers will be in vain. Similarly, if the model fails to represent exit choice <em>adaptation/changing</em> accurately, efforts to refine the exit choice model will be fruitless.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49531203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shasha Liu , Toshiyuki Yamamoto , Toshiyuki Nakamura
{"title":"Longitudinal analysis of public transport usage by older people using a latent Markov model","authors":"Shasha Liu , Toshiyuki Yamamoto , Toshiyuki Nakamura","doi":"10.1080/19427867.2023.2171337","DOIUrl":"10.1080/19427867.2023.2171337","url":null,"abstract":"<div><p>Understanding trends in public transport usage by older people over the years is important for the long-term planning and development of age-friendly public transport. Despite extensive research on travel patterns of older people, very limited studies have explored the evolution oftheir public transport usage over the years. Using six years of smartcard transaction data and anonymous cardholder membership data from Shizuoka, Japan, we develop a latent Markov model to account for unobserved heterogeneity and to analyze the evolution of public transport usage by older people. The results indicate that age, gender, and residential built environment influence trends in publictransport usage by older adults over the years. There are five latentstates for older men and women, respectively, demonstrating theexistence of unobserved heterogeneity. Propensity to use public transport affected by unobserved factors tends to retain the same, especially for older people in the latent states of very low, low, and very high propensities.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47791743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An agent-based simulation to analyze trucking sector regulation policies","authors":"Sarvin Molaeinasab , Aria Dahimi , Amir Samimi","doi":"10.1080/19427867.2022.2161454","DOIUrl":"10.1080/19427867.2022.2161454","url":null,"abstract":"<div><p>This paper introduces an agent-based micro-simulation model to acquire the responses of road freight transportation systems like the productivity of trucks, the capability of road freight transportation companies, and the economic state of actors to different regulatory reforms. The shippers, freight companies, and drivers are the key decision-makers . These agents have different choices, including transport carrier choice, shipping price, truck allocation to shipment, and empty backhauls. Performance measures were used for the calibration phase with less than 3.7% average error. Finally, three viable regulatory reforms were evaluated, and their performance measures were estimated and discussed. We found that the shipping cost will reduce by 6% if a competitive market structure replaces the mandatory freight assignment procedure. Furthermore, we observed a 20% increase in the market share of the top fifty transport companies and a 3% improvement in the overall productivity when the physical freight companies’ branch requirements are relaxed.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42374667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Godwin Kafui Ayetor , Frank Kwabena Nyarko , Prince Yaw Andoh
{"title":"Achieving Cost Parity for Battery Electric Vehicles in Africa: a case study of Ghana","authors":"Godwin Kafui Ayetor , Frank Kwabena Nyarko , Prince Yaw Andoh","doi":"10.1080/19427867.2023.2168348","DOIUrl":"10.1080/19427867.2023.2168348","url":null,"abstract":"<div><p>Ghana commits to reducing greenhouse gas emissions of 64 MtCO<sub>2</sub> and reducing 2,900 premature deaths but has very low electric vehicle penetration. We used a total cost of ownership model to determine the cost of ownership parity of BEV compared to internal combustion engine vehicles (ICEV). The results show that BEV will not reach cost parity with ICEV until the 11<sup>th</sup> year. Waiving the 20% import duty on BEV only reduced the years to parity by a year. Cost parity for the BEV was achieved in the seventh year when the interest rate was reduced from 23% to 10%. By waiving import duty and reducing the interest rate of BEV to 10%, cost parity was reached right from the first year. BEV in Ghana could reduce CO2, NOx, VOC, SOx, and PM emissions by 72%, 85%, 99.2%, 41%, and 60% respectively. Based on the 7.17 MtCO<sub>2</sub>e attributed to transportation emissions in 2016, a BEV transition could reduce CO<sub>2</sub> emissions by 5 MtCO<sub>2</sub>e. We conclude that a special financing scheme with an interest rate below 10% should be made available for green financing. Additionally, we recommend the removal of the 20% import duty for BEV to reach cost parity with ICEV.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46414905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A probe-based demand responsive signal control for isolated intersections under mixed traffic conditions","authors":"Himabindu Maripini , Lelitha Vanajakshi , Bhargava Rama Chilukuri","doi":"10.1080/19427867.2022.2164613","DOIUrl":"10.1080/19427867.2022.2164613","url":null,"abstract":"<div><p>The paper presents a model-based demand-responsive traffic control system for mixed traffic conditions using sample travel time data. The model incorporates mixed traffic characteristics such as heterogeneity, limited lane discipline of varied vehicle types, and spatio-temporal traffic dynamics across the width of the road. The methodology includes optimization of intersection performance by accommodating the varying traffic demand through signal timing variables. On validation, the model yielded reliable queue estimates within a close proximity of the actual, ranging from 20 to 40 meters. Upon optimization, the proposed model reduced total intersection delay by 15.42% on an average across 14 cycles, for near-saturated traffic conditions. The optimal green splits are found to be responsive to the varying traffic demand. The proposed system is simple and can be easily implemented in the mixed traffic conditions.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42109726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incorporating travel time means and standard deviations into transportation network design problem: a hybrid method based on column generation and Lagrangian relaxation","authors":"Maocan Song , Lin Cheng","doi":"10.1080/19427867.2023.2166212","DOIUrl":"10.1080/19427867.2023.2166212","url":null,"abstract":"<div><p>Travel times in real-world transportation networks are affected by many disruptions. When we conduct the network design optimization, the traffic condition and its resulting travel time variability should be taken into account. However, most of the previous network design optimizations adopted the lengths or expected travel times of links. Based on travel time means and standard deviations, we develop an arc-based model that is a nonlinear and concave integer program. By the Dantzig-Wolfe reformulation, we transform it into an equivalent column-based model that is an integer linear program with a large number of variables. Based on the column-based model, we develop a hybrid method based on column generation and Lagrangian relaxation. The restricted master problem can be settled by the linear programming solvers. The pricing subproblems incorporate independent reliable shortest path problems and a knapsack problem. In numerical experiments, the proposed method can generate feasible solutions with good integrality gaps.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43057276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of vehicle size on crash risk in a heterogeneous traffic scenario: a bivariate extreme value approach","authors":"Ashutosh Kumar , Abhisek Mudgal","doi":"10.1080/19427867.2023.2171843","DOIUrl":"10.1080/19427867.2023.2171843","url":null,"abstract":"<div><p>Most traffic conflict indicators are defined for car-following scenarios where a follower vehicle interacts with a leader vehicle in one-dimensional space. However, vehicles do interact in a two-dimensional space especially in a heterogeneous traffic environment. Further, designating an interaction as risky depends on the interacting leader-follower (LF) pairs.</p></div><div><p>Conflict indicators namely Time-to-Collision (TTC) and lateral gap which quantifies longitudinal and lateral interactions respectively, were computed from video recordings at four accident black spots on four-lane divided highways. Conflict in two-dimensional space was modelled for various LF-pairs using the Bivariate Extreme Value function of these two conflict indicators. Crash risk was estimated for each LF-pairs separately. Results show that cars and light commercial vehicles exhibit higher crash risk as compared to two-wheelers and motorized three-wheelers. The proposed framework can be used for more accurate risk assessment and calibration of collision warning systems in lane free mixed traffic conditions.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44917595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Junze Ma , Changjiang Zheng , Miao Yu , Jinxing Shen , Haiyan Zhang , Yanyan Wang
{"title":"The analysis of spatio-temporal characteristics and determinants of dockless bike-sharing and metro integration","authors":"Junze Ma , Changjiang Zheng , Miao Yu , Jinxing Shen , Haiyan Zhang , Yanyan Wang","doi":"10.1080/19427867.2023.2170493","DOIUrl":"10.1080/19427867.2023.2170493","url":null,"abstract":"<div><p>As an affordable form of public transit, the metro still faces first- and last-mile problems. Integration of dockless bike sharing (DBS) and the metro offers a reasonable solution to this problem. However, an in-depth exploration of the spatio-temporal characteristics and determinants of DBS–metro integration, especially meteorological indicators, is lacking. The spatiotemporal characteristics of the transfer volume on weekdays and weekends in Beijing were analyzed. Geographically weighted regression was utilized to investigate the effects of the significant determinants on the spatial variation of the transfer volume. The results indicate that the transfer volume is concentrated within the Fifth Ring Road in Beijing. The effects of education services and metro station density were negatively correlated with transfer volume. As expected, population density and enterprises positively affect transfer volume, whereas wind speed and relative humidity have negative effects. These findings provide new insights into the promotion of DBS–metro integration.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45290500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bijul Raveendran , Tom V. Mathew , Nagendra R. Velaga
{"title":"Modeling car-following behavior during queue discharge at signalized intersections with countdown timer","authors":"Bijul Raveendran , Tom V. Mathew , Nagendra R. Velaga","doi":"10.1080/19427867.2022.2159088","DOIUrl":"10.1080/19427867.2022.2159088","url":null,"abstract":"<div><p>Countdown timers impact driver behavior significantly and are widely used at signalized intersections in many countries. Literature shows potential vehicle class-specific temporal and spatial variations in driver behavior in the presence of timer. Therefore, first, this paper analyzed the temporal, spatial, and vehicle class-specific impacts of timer on driver behavior in heterogeneous traffic conditions based on variations in acceleration. Second, a Long Short-Term Memory model was developed to model vehicle discharge, incorporating the heterogeneity of traffic and impacts of timer. The performance of the model was compared with that of the Intelligent Driver Model using field trajectory data from three signalized intersections in Kerala, India. The model accurately predicts the following behavior with mixed spacing errors of 0.24 to 0.35 and an average mean squared error of spacing of 1.23. The results were better than, or comparable to, results from recent data-driven car-following models and significantly better than IDM.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45919384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Calibration and evaluation of higher order continuum model for non- lane based mixed traffic environment","authors":"Hari Krishna Gaddam , K. Ramachandra Rao","doi":"10.1080/19427867.2022.2160559","DOIUrl":"10.1080/19427867.2022.2160559","url":null,"abstract":"<div><p>.The present study aims to calibrate a novel multi-class non-lane-based continuum traffic flow model by applying advanced global search optimization algorithms such as Hybrid Search (Combination of genetic algorithm and Nelder Mead) and Generalized Pattern Search. To represent vehicular behavior in non-lane-based mixed traffic environment, the new continuum model is deduced from two-sided lateral gap car following theory along with few empirical observations. The newness of the selected model is that it mimics complex overtaking behavior of vehicles, effect of slow-moving vehicles on traffic stream and driver’s anticipation behavior. The search algorithms considered in this study have been tested and compared using the real-world data. From the analysis, it is observed that the proposed algorithms are more accurate in minimizing the cost function whereas convergence speed is also found to be better. The calibrated parameters are validated using platoon dispersion characteristics of vehicles and alternative transport policy measures.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48828624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}